Find Your Dream Data Scientist Job

Job Title: Senior Data Scientist

Location: Bangalore

Job Type: Full-time

Experience Level: Senior

AlphaMetricx is hiring for the role of 'Senior or Lead Data Scientist Position' to drive the business growth of our Analytics COE. We are looking at the aspirant with a proven track record of solutioning & delivering NLP solutions to Fortune 500 companies.

This individual will be responsible for building unique solutions and also deliver based on the set SLA's

Job Summary:

As a Senior Data Scientist, you will lead the development and optimization of advanced analytics tools, with a focus on media intelligence solutions. Your work will involve analyzing large data sets from various media channels, designing algorithms to track trends, and providing actionable insights. We are looking for someone with a strong background in building media analytics or intelligence tools, combined with excellent problem-solving skills and a passion for innovation.

Key Responsibilities:

• Lead the design and development of analytics platforms and media intelligence tools, transforming large, unstructured data into meaningful insights.
• Develop machine learning models for trend detection, sentiment analysis, keyword extraction, and content recommendation.
• Work with large-scale media data from sources such as social media, news, blogs, and other online platforms.
• Collaborate with cross-functional teams, including data engineers, software developers, and product managers, to deliver end-to-end solutions.
• Implement NLP techniques to analyze and categorize media content from multiple sources.
• Build and optimize data pipelines for efficient data processing, storage, and retrieval.
• Translate business objectives into data-driven solutions and deliver actionable insights to internal teams and clients.
• Mentor and guide junior data scientists, providing support in developing their technical skills and career growth.
• Stay updated on the latest trends in data science, AI, and media intelligence to ensure the tools and platforms remain at the cutting edge.

Required Skills and Qualifications:

• Proven experience (4+ years) as a Data Scientist, preferably in the media intelligence or analytics tool development domain.
• Strong expertise in machine learning, NLP, and statistical modeling.
• Hands-on experience with media data analysis, including sentiment analysis, keyword analysis, and audience engagement tracking.
• Proficiency in Python, R, and SQL. Familiarity with big data tools such as Hadoop, Spark, Redis, Apache Flink, and cloud platforms (AWS, GCP, Azure).
• Strong understanding of data pipelines and experience with data processing frameworks.
• Ability to work with large, unstructured data sets and develop models that derive actionable insights.
• Excellent problem-solving skills and the ability to deliver solutions in a fast-paced environment.
• Strong communication and presentation skills, with the ability to explain complex data insights to non-technical stakeholders.
• A Master's or PhD in Data Science, Computer Science, Statistics, or a related field.

Preferred Skills:

• Experience with media monitoring, social listening, or media analytics platforms.
• Experience in deploying machine learning models in production environments.
• Familiarity with media intelligence tools such as Meltwater, Cision, or similar.

Benefits:

• Competitive salary and bonus structure.
• A collaborative work environment with access to cutting-edge technologies.

Location: MakeMyTrip, Bangalore

Experience Level: 8-10 years

Position: Lead/Principal Data Scientist

Education: BE/BTech from Tier 1 institutes (IITs/IIITs/NITs). Preferably MS in CS/NLP/KGs/Vision at top tier institute, for lead DS.

Reimagine Travel decisions with the power of MakeMyTrip has been AI/ML/Data/Platform powered organization. We are now shaping the future of travel for Bharat customers, with GenAI-centric innovations, leveraging SLMs, Vernacular STT/TTS, and travel content systems. Join us to take these systems, chatbots, Cx, content to next orbit of excellence.

About the Role:

As a Lead data scientist, you will:

Design, develop, and fine-tune multilingual Small Language Models (SLMs) with advanced AI capabilities for agentic applications such as travel destination expertise, Myra bot orchestration, hotel semantic search, and customer support bot assistance.

Build custom Natural Language Inference (NLI) and reward-scoring models to improve preference-based SLM training (DPO, PPO, SteerLM etc), enhancing multi-agent response quality and relevance.

Develop and implement active learning pipelines for data and models, for NLP, Named Entity Recognition (NER), conversational latent intent/concepts, travel-specific embeddings, and domain-specific SLM training for summarization, rephrasing, and planning.

Architect and enhance conversational AI systems to dynamically adapt and comprehend concepts/intents, NLP, and NER tasks across multiple lines of business, supporting the Myra chatbot ecosystem.

Drive end-to-end quality assurance through robust integration and experience testing, establishing objective evaluation metrics and leveraging A/B testing for performance optimization.

Mentor and guide engineering teams in advanced SLM and Generative AI analytics, fostering growth and innovation.

Collaborate across teams to deliver scalable solutions that impact millions of users, ensuring alignment with business goals.

Focus on hosting and deploying Generative AI models on robust and efficient infrastructure to support large-scale operations.

What You Bring:

• Deep experience in Natural Language Processing (NLP & NLI), tiny/small language models, base language model retraining (both transformer and BERT based architectures).
• Extensive experience in conversational NLP systems.
• Experience in SLM adaptor fine tuning, SFT training, SLM pruning (base and instruct models)
• Experience in retriever frameworks in Q&A bots.
• Experience in contrastive learning, graph learning based embedding methods with heterogenous features.
• Preferably experience in building NLP active learning pipelines.
• Demonstrable experience in scaling your models to large scale search systems is a plus.
• Very good critical reasoning skills, data centric NLP/NLI systems.
• Must have temperament and hunger to work in fast-paced environment.

Why Join Us?

Be part of a team revolutionizing the travel industry with cutting-edge AI and Generative AI technologies, impacting millions of users worldwide.

As a Senior Data Scientist, a person will be responsible for developing and deploying data science models across functional areas. Based on business performance and discussions with business partners, identify ML use-cases, prioritise, plan and develop machine learning and artificial intelligence solutions to deliver business impact.

Roles & Responsibilities: (include but not limited to)

Collaborate Across Functions: Engage with various departments to create opportunities for machine learning and data science

Project Leadership: Take ownership of data science projects from ideation to execution, coordinating with business leaders and cross-functional teams and completing the projects.

Solution Design: Architecting scalable and impactful machine learning for business challenges, with a focus on delivering measurable outcomes.

Hands-On Development: Developing machine learning and AI models using state-of-the-art techniques and technologies, ensuring best practices in model creation.

Stakeholder Communication: Presenting data science insights, model results and recommendations to senior stakeholders

Deployment & Integration: Working with data engineers and platform teams to deploy robust machine learning and AI solutions

Performance Monitoring: Setting up measurement and monitoring frameworks to continuously track, analyse, and enhance model performance.

Mentorship & Leadership: Guide and mentor junior data scientists and data analysts, fostering a culture of continuous learning and development within the team.

Job Title: Senior Data Scientist - NLP & Computer Vision

Location: Vapi

About Us:

Your Company Name is an innovation-driven organization focused on solving complex real-world problems through cutting-edge AI and ML technologies. We are looking for a Senior Data Scientist who thrives at the intersection of language and vision, someone passionate about building intelligent systems that understand and interpret both text and images at scale.

Role Overview:

As a Senior Data Scientist specializing in NLP and Computer Vision, you will play a pivotal role in the research, design, and deployment of advanced machine learning models. You will lead initiatives involving language model pretraining and finetuning, as well as vision model development across diverse business use cases.

Key Responsibilities:

• Language Models & NLP:
• Design and implement strategies for pretraining and finetuning large language models (LLMs) such as LLaMA, or custom transformers.
• Build NLP pipelines for tasks including text classification, information retrieval, summarization, entity recognition, and question answering.
• Optimize performance of LLMs for specific domain applications using techniques like transfer learning, LoRA, quantization, and distillation.
• Computer Vision:
• Lead development of vision models using CNNs, ViTs, or multimodal architectures for tasks such as object detection, image classification, segmentation, OCR, and visual search.
• Integrate CV models with NLP systems for end-to-end intelligent applications (e.g., document understanding, visual question answering).
• Research & Innovation:
• Stay current with academic and industry advances in NLP, LLMs, and CV, and evaluate their relevance to business problems.
• Rapidly prototype solutions and contribute to research publications and patents where applicable.
• Cross-functional Leadership:
• Collaborate with product managers, data engineers, ML engineers, and domain experts to define technical roadmaps and deliver production-ready solutions.
• Mentor junior data scientists and contribute to a culture of technical excellence.

Required Qualifications:

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 5+ years of industry experience building ML systems, with significant exposure to NLP and Computer Vision.
• Proven experience with transformers, LLMs, and vision architectures (e.g., ResNet, EfficientNet, Vision Transformers).
• Proficient in Python and ML libraries such as PyTorch, TensorFlow, HuggingFace Transformers, OpenCV, and related tools.
• Experience with ML Ops tools (e.g., MLFlow, Docker, Airflow, Ray) and cloud environments (AWS, GCP, or Azure).
• Strong publication record or demonstrable contributions to open-source or real-world AI systems.

Preferred Qualifications:

• Experience with multimodal learning, combining text, image, and possibly speech or structured data.
• Familiarity with self-supervised learning and contrastive learning approaches.
• Background in search/retrieval systems, OCR post-processing, or document AI.
• Experience deploying models in low-latency, scalable environments.

Why Join Us?

• Work on impactful AI systems in a research-oriented environment.
• Collaborate with a world-class team of engineers and scientists.
• Competitive compensation, flexible work policy, and growth opportunities.

About Gameskraft

Established in 2017, Gameskraft has become one of India's fastest-growing companies. We are building the world's most-loved online gaming ecosystem, one game at a time. Started by a group of passionate gamers, we have grown from a small team of 5-6 members to a large family of 600+ Krafters, working out of our office in Prestige Tech Park, Bangalore.

Our short-term success lies in the fact that we strive to focus on building a safe, secure, and responsible gaming environment for everyone. Our vision is to create unmatched experiences every day and everywhere. We set the highest benchmarks in the industry in terms of design, technology, and intuitiveness. We are the industry's only ISO 27001 and ISO 9001 certified company.

Senior Data Scientist

As the Senior Data Scientist, you will be working hands on day to day, driving the development and implementation of advanced analytics and machine learning solutions. You will play a critical role in shaping the data strategy, guiding the team in extracting meaningful insights from large datasets, and ensuring the successful deployment of data-driven solutions to meet business objectives.

As a Senior Data Scientist, you will :

1. Data Strategy:

• Develop and execute a comprehensive data strategy that aligns with the organization's objectives.
• Identify and prioritize data science opportunities that drive business value.

1. Advanced Analytics and Machine Learning:

• Oversee the design, development, and implementation of advanced analytics and machine learning models.
• Ensure the team is utilizing state-of-the-art techniques and technologies to solve complex business problems.

1. Data Governance and Quality:

• Establish and enforce data governance practices to ensure the accuracy and reliability of data used in analytics.
• Collaborate with data engineering teams to ensure data quality and integrity.

1. Collaboration:

• Collaborate with business stakeholders to understand their needs and translate them into data science initiatives.
• Work closely with IT and business leaders to integrate data science solutions into existing business processes.

1. Innovation:

• Stay abreast of industry trends and emerging technologies in data science and analytics.
• Foster a culture of innovation within the data science team.

1. Performance Measurement:

• Define and monitor key performance indicators (KPIs) to assess the impact of data science initiatives.
• Continuously evaluate and improve the effectiveness of data science solutions.

1. Communication:

• Effectively communicate complex technical concepts to non-technical stakeholders.
• Prepare and present regular updates and reports to senior management.

What we expect you will bring to the table :

Looking for a Senior Data Scientist role with an experience in the range of 2-4 years. Here are some of the responsibilities expected from the role:

1. Responsible for solving open-ended, non-trivial, high-impact business problems related to overall user experience, fraud detection, personalisation, responsible game play (to name a few) etc. using machine/deep learning, optimization, statistical analysis and related techniques. 2. Drive ML/DS projects independently end-to-end right from engaging with different stakeholders and partner teams (product; engineering; business; marketing etc) across Gameskraft; understanding the problem statement clearly; coming up with appropriate design and solution in a fast, iterative and time bound manner. 3. Develop a strong understanding of key business metrics and concepts and perform data analysis to get useful insights and develop different hypotheses and validate with sound rigorous methodologies as a precursor to formulating the problems and modeling with ML. 4. Carry out the literature review (understand ML/DS related scientific papers around the given problem domain); exploratory data analysis; feature engineering; model building; integrate them in product and work on continuously improving them. 5. Work with and mentor the fellow data scientists on the team.

If you are passionate about creating exceptional user experiences, possess strong leadership skills, and have a track record of delivering successful data science, we encourage you to apply for this exciting opportunity.

We are committed to providing equal opportunity in employment and creating an inclusive work environment.

Remember, together, we can achieve more!

Role: Sr Data Scientist

Experience level: 5 to 7 years

Location: Chennai

Who are we?

Crayon Data is a leading provider of AI-led revenue acceleration solutions, headquartered in Singapore with a presence in India and the UAE. Founded in 2012, our mission is to simplify the world's choices.

Our flagship platform, maya.ai, helps enterprises in Banking, Fintech, and Travel unlock the value of their data to create hyperpersonalized experiences and drive sustainable revenue streams. maya.ai is powered by four "as a Service" components - Data, Recommendation, Customer Experience, and Marketplace - that work in unison to deliver tangible business outcomes.

Why Crayon? Why now?

Crayon is transforming into an AI first company, and every Crayon (that's what we call ourselves!) is undergoing a journey of upskilling and expanding their capabilities in the AI space.

We're building an organization where AI is not a department-it's a way of thinking. If you're an engineer who's passionate about building things, experimenting with models, and applying AI to solve real business problems, you'll feel right at home in our AI squads.

Our environment is designed to be a playground for AI practitioners, with access to meaningful data, real-world challenges, and the freedom to innovate. You won't just be writing models-you'll be shaping Crayon's future.

Experience: 5+ years

Industry: Banking, Financial Services, and AI

Team: Data Science

Job Overview

We are seeking a Senior Data Scientist who thrives at the intersection of business and machine learning. In this role, you will develop and deploy data science models that directly drive outcomes for banking and financial institutions - from boosting sales and cross-sell opportunities to reducing attrition and churn.

If you love solving real-world business problems using data and turning insights into action, this is the role for you.

What You'll Do

• Build and deploy machine learning and statistical models for key banking use cases: cross-sell, upsell, churn prediction, customer segmentation, lead scoring, etc.
• Work with large-scale structured and unstructured datasets to derive meaningful insights.
• Translate business problems into analytical solutions and guide clients through data-driven decision-making.
• Collaborate closely with product, engineering, and consulting teams to deliver production-ready models.
• Continuously monitor, tune, and improve model performance post-deployment.
• Mentor junior data scientists and contribute to internal knowledge sharing.

Can you say "Yes, I have!" to the following?

• 5+ years of experience developing ML/AI solutions on large-scale datasets
• Strong academic background - B.E/B.Tech/MS in Machine Learning, Computer Science, Statistics, Applied Math, or related fields; PhD is a bonus
• Deep understanding of statistical models - hierarchical, stochastic, time series, survival, and econometric
• Expertise in at least one deep learning framework - PyTorch, TensorFlow, or MxNet
• Proficiency in Spark (Scala/PySpark) for large-scale data processing and designing scalable ML pipelines
• Experience contributing to open-source ML libraries or publishing research is a strong plus.

Can you say "Yes, I will!" to the following?

• Innovate with AI-first thinking
• Champion scalable, production-grade ML solutions
• Collaborate across teams to deliver outcomes aligned with business value
• Stay curious, keep learning, and mentor junior team members

Brownie points for:

• Alignment with The Crayon Box of Values - because while skills can be learned, values are who we are.
• Passion for building reusable ML components and internal tools

Come play, build, and grow with us.

# Let's co-create the future of AI at Crayon.

Job Description: We are seeking a highly skilled and experienced Senior Data Scientist to join our team. The ideal candidate will have a strong background in data science, machine learning, and statistical analysis. As a Senior Data Scientist, you will be responsible for leading data-driven projects, developing predictive models, and providing actionable insights to drive business decisions.

Key Responsibilities:

• Lead and manage data science projects from conception to deployment.
• Develop and implement machine learning models and algorithms to solve complex business problems.
• Analyze large datasets to identify trends, patterns, and insights.
• Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
• Communicate findings and recommendations to stakeholders through reports, presentations, and visualizations.
• Stay up to date with the latest advancements in data science and machine learning technologies.

Qualifications:

• Bachelor's or Master's in Data Science, Computer Science, Statistics, or a related field.
• 4+ years of experience.
• Expertise in big data & computing technologies like Apache Spark. Expertise in Apache Ray is plus.
• Strong proficiency in programming languages such as Python or R, SQL.
• Experience with machine learning frameworks and libraries.
• Proven experience with Microsoft Azure
• Excellent analytical and problem-solving skills.
• Ability to work independently and as part of a team.
• Strong communication and presentation skills.

Preferred Qualifications:

• Experience in building forecasting systems using statistical and machine learning algorithms.
• Experience with mathematical optimization using Gurobi.
• Familiarity with data visualization tools (Power BI, Streamlit, Dash).
• Familiarity with the industrial or construction supply industry.

About Gameskraft

Established in 2017, Gameskraft has become one of India's fastest-growing companies. We are building the world's most-loved online gaming ecosystem, one game at a time. Started by a group of passionate gamers, we have grown from a small team of 5-6 members to a large family of 600+ Krafters, working out of our office in Prestige Tech Park, Bangalore.

Our short-term success lies in the fact that we strive to focus on building a safe, secure, and responsible gaming environment for everyone. Our vision is to create unmatched experiences every day and everywhere. We set the highest benchmarks in the industry in terms of design, technology, and intuitiveness. We are the industry's only ISO 27001 and ISO 9001 certified company.

Lead Data Scientist

As the Lead Data Scientist, you will be working hands on day to day, driving the development and implementation of advanced analytics and machine learning solutions. You will play a critical role in shaping the data strategy, guiding the team in extracting meaningful insights from large datasets, and ensuring the successful deployment of data-driven solutions to meet business objectives.

As a Lead Data Scientist, you will :

1. Data Strategy:

• Develop and execute a comprehensive data strategy that aligns with the organization's objectives.
• Identify and prioritize data science opportunities that drive business value.

1. Advanced Analytics and Machine Learning:

• Oversee the design, development, and implementation of advanced analytics and machine learning models.
• Ensure the team is utilizing state-of-the-art techniques and technologies to solve complex business problems.

1. Data Governance and Quality:

• Establish and enforce data governance practices to ensure the accuracy and reliability of data used in analytics.
• Collaborate with data engineering teams to ensure data quality and integrity.

1. Collaboration:

• Collaborate with business stakeholders to understand their needs and translate them into data science initiatives.
• Work closely with IT and business leaders to integrate data science solutions into existing business processes.

1. Innovation:

• Stay abreast of industry trends and emerging technologies in data science and analytics.
• Foster a culture of innovation within the data science team.

1. Performance Measurement:

• Define and monitor key performance indicators (KPIs) to assess the impact of data science initiatives.
• Continuously evaluate and improve the effectiveness of data science solutions.

1. Communication:

• Effectively communicate complex technical concepts to non-technical stakeholders.
• Prepare and present regular updates and reports to senior management.

What we expect you will bring to the table :

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.
• Proven experience 5-6 years leading and managing data science teams.
• Strong expertise in machine learning, statistical modeling, and data analytics.
• Excellent programming skills in languages such as Python or R.
• Demonstrated success in implementing data science solutions that drive business impact.
• Strong communication and leadership skills.
• Experience with big data technologies and cloud platforms (e.g., Hadoop, Spark, AWS, Azure) is a plus.
• Knowledge of industry-specific regulations and compliance standards related to data.

If you are passionate about creating exceptional user experiences, possess strong leadership skills, and have a track record of delivering successful data science, we encourage you to apply for this exciting opportunity.

We are committed to providing equal opportunity in employment and creating an inclusive work environment.

Remember, together, we can achieve more!

Data Analyst / Operations Research Data Scientist

Main skill requirements:

Proven knowledge of coding in Python

Advanced knowledge of regression & linear optimization (Python based, relevant libraries:

pandas, numpy, scikit-learn, or-tools)

2+ years of working experience in data analytics with proven project/solution track record

Skills in data analysis & visualization (Python based, relevant libraries: pandas, numpy, plotly)

Experience as Operations Research analyst or similar: worked with optimisation models

(e.g. Integer and Linear Programming) in the past

Projects related with energy markets

Worked in similar/ relevant industries: gas/ oil/ energy

Main responsibilities:

Data Analysis and Preprocessing: Adapt process plant model structures based on specific

plant data. Analyze, validate and clean past operation data, validate operation limits, and

update affected regression calculations

Model Validation and Testing: Run the models against past operations data, ensuring

compliance with upper and lower limits, production ramping speeds, and other

parameters. Test optimization models against historical data and the plant model and

optimise it.

Technical Integration: Coordinate the technical integration process with the business,

project management and other involved parties. Ensure working integration to adjacent

systems (e.g. Historian database, plant control system, etc.

Report insights to stakeholders Communication and Coordination: Engage in effective

communication with business and ROC (Remote Operations Center) regarding process

parameters, constraints, and test results. Support business value estimation by running

scenarios against simulations and past data.

Test Management and Continuous Optimization: Manage tests, ensuring execution and

thorough analysis. Establish and maintain optimization models to run continuously. Monitor

run performance and take proactive actions if runs deviate from expectations.

Soft skills:

Self driver attitude: Execute tasks self-responsible. Can-do and get-stuff-done attitude is

crucial

Good communications skills, able to effectively discuss project requirements with different

hierarchy levels and disciplines (engineering, business, etc.)

Fluent English (spoken and written) is a must, Portuguese is a plus

Main working location will be Portugal (Lisbon)

Willingness for business travel (on an occasional basis)

Job Description:

We are seeking a Data Scientist with expertise in AI/ML techniques, work with large-scale datasets, and deploy solutions on AWS cloud platforms to solve complex business problems and drive data-driven decision-making. You will work with cross-functional teams to extract insights, develop ML pipelines, and implement scalable solutions on AWS.

Key Responsibilities:

• Develop and deploy AI/ML models for classification, regression, clustering, and recommendation systems.
• Work with large datasets using Big Data tools (e.g., Spark, Hadoop).
• Build and maintain scalable data pipelines and ML workflows in AWS.
• Perform data exploration, feature engineering, and statistical analysis to support model development.
• Collaborate with engineering and product teams to integrate models into applications and services.
• Communicate findings and insights through visualizations and reports.

Requirements:

• Bachelor's or Master's in Computer Science, Data Science, or a related field.
• 2+ years of experience in AI/ML model development and deployment.
• Strong proficiency in Python, SQL, and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Hands-on experience with AWS cloud services and Big Data frameworks.

Adform focuses on an exploration of a vast amount of online advertising data, development of predictive and segmentation models to optimize campaign strategy towards the most meaningful inventory, audience and ad, fraud detection, and many others. You will be a vital part of the data scientist efforts, working in a cross-functional international Agile team, with other data scientists, engineers, product managers, and leaders located in multiple locations around the world. If you are hands-on passionate, crazy about a development of advanced algorithms, machine learning, statistics, Hadoop, Python and SQL, have an ownership mindset, love to work in teams with smart, informal and open people, we'd love to get to know you!

Our focus is Big Data, High Load and challenging experiences with understanding and taking advantage from data in Ad-Tech industry.

We hope you are ready to change the game! Be ready to:

• Apply advanced machine learning/statistical algorithms scalable to huge data sets to:
• Determine the most meaningful ad, served to the right user at the optimal time, and the best price
• Identify behaviours, interests and segments of web users across billions of transactions to find the most optimal audience for a given advertising activity
• Eliminate suspicious / non-human traffic
• Maintenance our products, support customers in analysing the reasons behind the decisions made by our algorithms and look for new improvements in the process of striving for their excellence
• Work closely with other Data Scientists, development, and product teams to implement algorithms into production-level software. Mentor less experienced colleagues.
• Contribute to identify opportunities for leveraging company data to drive business solutions
• Be an active technical challenger in the team for the purpose of mutual improvement and broadening of team and company horizons
• Design solutions and lead cross-functional technical projects from ideation to deployment

Attitude First. Everything else will follow. We can grow together faster if you have:

• Minimum 1 year work experience in a similar senior position. Minimum 6 years experience in Data Science in total.
• Masters or PhD in a quantitative field such as Machine Learning, Computer Science, Applied Mathematics, Statistics or related.
• Excellent mathematical and statistical skills (statistical inference), experience in working with large datasets. Knowledge of data pipelines, ETL processes.
• Very good knowledge of multiply supervised and unsupervised machine learning techniques with math background and hands-on experience
• Great problem-solving and analytical skills.
• Ability to structure a large business problem into tractable and reasonable components, design and deploy scalable machine learning solutions
• Proficiency in Python, SQL
• Experience with big data tools (e.g. Spark, Hadoop)
• Adform's guiding principles ingrained in your profile: Focus on Client Value, Behave with Decency, Take Ownership, Care, Collaborateas a TeamPlayer, Remain Ambitious, and StandTall inall interactions

Stand out by having:

• Knowledge of Ad Tech industry solutions
• Knowledge of web technologies

Our promise to you:

• You will be a vital part of the data scientist efforts, working in a cross-functional international Agile team, with other data scientists, engineers, product managers, and leaders located in multiple locations around the world.
• A dynamic, inspiring, and international environment filled with ambitious and caring colleagues
• Premium health insurance with 10,00,000 coverage for you and your family
• 24 paid vacation days to enjoy life outside of work
• Paid maternity (6 months) and paternity (2 weeks)
• Annual learning budget to help you grow your skills and support continuous learning
• Rewarding referral program for helping us grow
• Global perks such as birthday gifts, work anniversaries, and company events to connect with colleagues and have fun
• And much more - join us to explore the full experience

Diversity s :

Adform is an equal opportunity employer with a global perspective. We remain committed to creating an environment that not only respects different backgrounds but celebrates them too. We believe that diversity in all its forms enhances our teams' creativity, innovation, and effectiveness, and therefore we value different backgrounds, perspectives, and skills.

We are committed to creating a work environment where Adform employees feel valued for who they are and what they can contribute, free from any type of discrimination.

Job description:

We, Mavoix Technology Solutions Pvt. Ltd. (i.e MTS Lab), are looking for a passionate and skilled Data Scientist with 2-5 years of hands-on experience in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), and Generative AI (GenAI). You will play a key role in building and deploying cutting-edge intelligent solutions that drive impact across our products and services.

Responsibilities:

• Design, develop, and deploy ML/NLP/GenAI models for real-world applications.
• Work closely with product and engineering teams to translate business requirements into data-driven solutions.
• Build data pipelines, preprocessing tools, and model evaluation frameworks.
• Develop and fine-tune LLMs and NLP-based applications like agents, chatbots, summarizers, and recommendation systems.
• Stay up-to-date with the latest in AI/GenAI research and integrate advancements where relevant.
• Optimize models for performance, scalability, and cost-efficiency.
• Document processes and maintain reproducible ML workflows.

Qualifications & Skills:

• Bachelor's or Master's in Computer Science, Data Science, AI, or related field.
• 2-5 years of relevant experience in AI/ML, NLP, or GenAI.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn, etc.).
• Strong experience with NLP techniques (NER, sentiment analysis, embeddings, transformers).
• Practical knowledge of working with LLMs (e.g., GPT, LLaMA, MCP, or open-source variants).
• Experience with prompt engineering, fine-tuning, or using APIs for GenAI models.
• Solid understanding of data preprocessing, feature engineering, and model evaluation.
• Experience with cloud platforms (AWS/GCP) and MLOps practices is a plus.
• Strong problem-solving skills and ability to work in a fast-paced environment.

Other Information:

• Work on impactful emerging technology products
• Growth & learning opportunities
• Remuneration at par with industry standards
• Industry: MedTech
• Job Type: Full-time

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About Business Unit:

The Automotive Practice at Epsilon is a rapidly growing team, driving growth for major players in the automotive industry - from Original Equipment Manufacturers (OEMs) to dealerships across North America. Part of a 1,600-member global team, the practice provides the automotive world's largest service reminder platform, alongside agency services and digital media solutions. A leader in the automotive space, the team supports over 50% of auto dealerships in North America and manages relationships with over 280 million customers. Home to innovation and cutting-edge technology, our Auto team leads the game in developing best-in-class software and solutions for hyper-personalized digital marketing.

The Automotive Data Science team within Epsilon partner with both internal and external clients and data providers, leverage predictive analytics and advanced modeling techniques to drive strategic thought and effective decision making. The core work charter includes supporting Retail and After Sales Service businesses for all the OEMs by developing solutions across the Customer Journey to drive Acquisition, Engagement, Retention using Advanced Analytics, Machine Learning, Deep Learning Capabilities and Data Platforms.

The Data Scientist, II would support stakeholders by deploying projects from inception to insights and enable business strategy and impact for the clients. Contributes towards automation, process improvement and efficiency. Demonstrates innovative thinking, passion, and cross team collaboration. Establish strong working relationship with stakeholders.

Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice.

Responsibilities

• Deliver end to end Data Science projects including understanding of business requirements, exploratory data analysis, data processing, aggregating data, feature engineering, building, and validating predictive models, explaining model results and insights.
• Use AI, ML, DL techniques such as regression, classification, clustering, tree-based algorithms, support vector machine, and neural networks, recommender system, attribution modeling to address business problems.
• Improve upon existing methodologies by developing new data sources/features, testing model enhancements, and fine-tuning model parameters.
• Provide requirements to develop analytical capabilities, platforms, and pipelines.
• Present insights and recommendations to audiences of varying levels of technical sophistication
• Automate processes to ensure scalability of solutions by collaborating with cross-functional teams.
• Perform the extraction, transformations, and loading from the source systems and the data lake to the analytics products using independently developed logic.
• Enhance data maturity and integration for Epsilon projects by interacting with operations to standardize the core value-add functionality, enabling a multiplier effect experience working within a collaborative team.
• Challenge the status quo with entrepreneurial innovation in curating new data sources, elevating analytics beyond data reporting and dashboarding to delivering actionable insights.

Qualification Description

• Master's or Bachelor's Degree in a quantitative discipline (Statistics, Economics, Mathematics, Data Science, Business Analytics).
• 2-4 years of experience as a Data Scientist deploying Data Science projects.
• 2+ years of hands-on experience in Python, SQL, ML and DL Algorithms
• Good to have understanding of LLMs, Databricks, Azure DevOps, and Cloud Systems
• Experience of working with large data sets and developing scalable solutions.
• Knowledge of Automotive Business, and Digital Marketing Campaigns are preferred.
• Ability to work independently and deal with ambiguity.
• Strong analytical and problem-solving skills.
• Excellent presentation and communication skills.
• Strong written and verbal communication skills.
• Highly motivated and collaborative team player with strong interpersonal skills.

Additional Information

Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we've provided marketers from the world's leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels.

Epsilon's comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world.

Epsilon has a core set of 5 values that define our culture and guide us to create value for our clients, our people and consumers. We are seeking candidates that align with our company values, demonstrate them and make them meaningful in their day-to-day work:

• Act with integrity. We are transparent and have the courage to do the right thing.
• Work together to win together. We believe collaboration is the catalyst that unlocks our full potential.
• Innovate with purpose. We shape the market with big ideas that drive big outcomes.
• Respect all voices. We embrace differences and foster a culture of connection and belonging.
• Empower with accountability. We trust each other to own and deliver on common goals.

Because You Matter

YOUniverse. A work-world with you at the heart of it!

At Epsilon, we believe people make the place. And everything we do is designed with you in mind. That's why our work-world, aptly named 'YOUniverse' is focused on creating a nurturing environment that elevates your growth, wellbeing and work-life harmony. So, come be part of a people-centric workspace where care for you is at the core of all we do.

Take a trip to YOUniverse and explore our unique benefits, here

Epsilon is an Equal Opportunity Employer.

Epsilon is committed to promoting diversity, inclusion, and equal employment opportunities by using reasonable efforts to attract, recruit, engage and retain qualified individuals of all ethnicities and backgrounds, including, but not limited to, women, people of color, LGBTQ individuals, people with disabilities and any other underrepresented groups, traits or characteristics.

Position: GenAI Engineer - GenAI / ML (Python, LangChain)

Job type: Onsite

Experience: 5-8 Years & 7-12 Years

Location: Chennai / Pune / Bangalore / Noida / Gurgaon

Notice Period: Immediate Joiners

We're looking for a Gen AI Engineer to develop and deploy scalable AI applications using LLMs, LangChain, and RAG pipelines. Join a high-impact team focused on real-world GenAI solutions for production environments.

Responsibilities:

• Design and develop GenAI applications using LangChain, RAG, and agent-based workflows
• Translate functional requirements into deployable AI systems
• Implement prompt engineering, embeddings, and manage vector databases
• Collaborate with product, data, and engineering teams for performance optimization
• Deploy solutions on AWS, Azure, or GCP ensuring scalability and reliability

Requirements:

• Proficient in Python, LangChain, SQL, and LLM frameworks
• 1+ year hands-on with LLMs, embeddings, and GenAI tools
• Strong system design skills and effective communication

Job Description - Senior Data Scientist

As a Senior Data Scientist, your responsibilities will encompass developing advanced data analytics models, implementing machine learning algorithms, and optimizing data pipelines. You will play a pivotal role in delivering data-driven solutions that enhance our and our client's products and operations, ultimately driving business growth.

Collaboration with cross-functional teams, management, and senior leadership will be key as you translate complex data into actionable insights and strategies. We are looking for individuals who are passionate about harnessing the power of data science and machine learning to solve complex business challenges and drive innovation.

Roles & Responsibilities:

• Advanced Analytics: Develop and implement data analytics models, machine learning algorithms, and data pipelines.
• Problem Solving: Tackle challenging data science problems, from predictive modeling to natural language processing.
• Data-Driven Insights: Extract actionable insights from data, enabling data-driven decision-making across the enterprise.
• ML Model Development: Develop and deploy machine learning models and algorithms
• Stakeholder Communication: Effectively communicate to address complex business problems
• A/B Testing: Design and implement A/B testing methodologies to drive data-driven decision-making and product optimization
• Sharing technical concepts and insights to non-technical stakeholders, guiding them in making informed decisions
• Mentoring and leading a team of data scientists
• Participate and attend daily scrum calls and other project meetings
• Continuous learning, acquiring new skills and sharing knowledge pertaining to the field of data science

Qualifications & Experience :

• A Master's or advanced degree in Data Science, Computer Science, Statistics, Engineering or a related field.
• Min 10+years with aound 7+ years of experience in Machine Learning , data science and delivering data-driven solutions in a corporate environment
• Strong proficiency in machine learning, statistical analysis, and data visualization.
• Expertise in programming languages such as Python.
• SQL expertise for data extraction, transformation, and analysis.
• Strong problem-solving and strategic thinking abilities.
• Excellent interpersonal/communication skills (both oral/written) with the ability to communicate at various levels with clarity & precision
• Ability to collaborate effectively across cross-functional teams.
• Strong problem-solving and strategic thinking abilities.

Data scientist with strong background in data mining, machine learning, recommendation systems, and statistics. Should possess signature strengths of a qualified mathematician with ability to apply concepts of Mathematics, Applied Statistics, with specialization in one or more of NLP, Computer Vision, Speech, Data mining to develop models that provide effective solution. A strong data engineering background with hands-on coding capabilities is needed to own and deliver outcomes.

A Master's or PhD Degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience, 5+ years of industry experience in predictive modelling, data science and analysis, with prior experience in a ML or data scientist role and a track record of building ML or DL models.

Responsibilities and skills

• Work with our customers to deliver a ML/DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models and deploying completed models to deliver business impact to organizations.
• Selecting features, building and optimizing classifiers using ML techniques.
• Data mining using state-of-the-art methods, creating text mining pipelines to clean & process large unstructured datasets to reveal high-quality information and hidden insights using machine learning techniques.

Should be able to appreciate and work on:

Should be able to appreciate and work on Computer Vision problems, for example, extract rich information from images to categorize and process visual data, develop machine learning algorithms for object and image classification, experience in using DBScan, PCA, Random Forests and Multinomial Logistic Regression to select the best features to classify objects.

OR

Deep understanding of NLP such as fundamentals of information retrieval, deep learning approaches, transformers, attention models, text summarisation, attribute extraction etc. Preferable experience in one or more of the following areas: recommender systems, moderation of user-generated content, sentiment analysis, etc.

OR

Speech recognition, speech to text and vice versa, understanding NLP and IR, text summarisation, statistical and deep learning approaches to text processing. Experience of having worked in these areas.

• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Appreciation for deep learning frameworks like MXNet, Caffe 2, Keras, Tensorflow.
• Experience in working with GPUs to develop models, handling terabyte-size datasets.
• Experience with common data science toolkits such as R, Weka, NumPy, MatLab, mlr, mllib, Scikit learn, caret etc - excellence in at least one of these is highly desirable.
• Should be able to work hands-on in Python, R etc.
• Should closely collaborate & work with engineering teams to iteratively analyse data using Scala, Spark, Hadoop, Kafka, Storm etc.
• Experience with NoSQL databases and familiarity with data visualization tools will be of great advantage.

What will you experience in terms of culture at Sahaj?

• A culture of trust, respect and transparency
• Opportunity to collaborate with some of the finest minds in the industry
• Work across multiple domains

What are the benefits of being at Sahaj?

• Unlimited leaves
• Life insurance & private health insurance
• Stock options
• No hierarchy
• Open Salaries

What impact will you make?

Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services, Deloitte is where you will find unrivaled opportunities to succeed and realize your full potentiaL

Deloitte is where you will find unrivaled opportunities to succeed and realize your full potential.

The Team

Deloitte's practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learnin g. Learn more about Analytics and Information Management Prac tice .

Job Title: Consultant Data ScientistReports To: Head of Data Science (Marketing) Division: Digital Data & Analytics

Role PurposeThe Data Science (Marketing) team is responsible for developing cutting-edge analytics and data science solutions that enable the design and execution of personalized customer communications across a range of channels. This includes both owned and paid media and covers existing customers and prospects. As a Lead Data Scientist, you will collaborate with business stakeholders, data scientists, data engineers, platform engineering, and architecture teams to drive business outcomes and advance Marketing's data science capabilities. A key focus will be building predictive models and event/trigger-based audiences by leveraging customer transaction data, behavioural signals, and demographics across online and offline sources.

Key Responsibilities

• Lead the application of advanced analytics and machine learning across Marketing to drive strategic, data-informed decisions.
• Design, build, and deploy predictive models and trigger-based audiences for use in Marketing communications across multiple media channels.
• Enhance and manage feature engineering processes and feature store development for Marketing use cases.
• Integrate digital analytics (e.g., Adobe Analytics) into data science models and use cases.
• Deliver outcomes aligned with the AI/ML roadmap and architecture capabilities.
• Continuously identify, promote, and embed new advanced analytics techniques within the team and across the Marketing function.
• Present complex analytical findings in a clear and actionable manner using visualisation tools and insight presentations tailored to senior stakeholders.
• Develop innovative analytic approaches to uncover unmet customer needs and improve financial wellbeing.
• Champion standardisation and reusability of code, features, and solutions to improve time to insight.

Key Performance Indicators (KPIs)

• Timely and high-quality delivery of data science solutions aligned to business goals.
• Recognition as a key contributor to innovation and the development of Marketing analytics capabilities.
• Measurable improvements in insight delivery timelines through standardized and reusable frameworks.
• Strong stakeholder relationships; known as a trusted advisor within the business.

Essential Capabilities

• Passion for analytics and data science, with awareness of the latest industry trends.
• Proven ability to solve business problems using data and analytical techniques.
• Strong strategic and customer-centric mindset.
• Ability to communicate complex concepts clearly to non-technical stakeholders.
• Strong problem-solving, documentation, and analytical thinking skills.
• Self-management and accountability for personal tasks and project deliverables.
• Collaboration and influencing skills across cross-functional teams.

Essential Experience

• 10+ years of experience in data science, analytics, or related fields.
• Expertise in building, deploying, and operationalising machine learning models.
• Proficiency in SQL, Python, PySpark, and Spark ML.
• Hands-on experience with cloud platforms such as AWS (preferred), Azure, or GCP.
• Skilled in using GitHub for version control and collaboration.
• Strong experience in working with both structured and unstructured datasets.
• Familiarity with Auto ML platforms such as Data Robot or H2O AI.
• Deep understanding of customer and digital data, and their use in marketing and communications.
• Experience with agile delivery methodologies and collaboration tools.

Desirable Experience

• Leadership in the use of AI/ML and analytics to guide Marketing strategy.
• Input into development of AI roadmaps and alignment with architecture/platform capabilities.
• Ownership of continuous improvement in analytics tools, techniques, and adoption.
• Skilled in visualising data using tools such as Tableau, Power BI, or similar.
• Experience in developing innovative solutions that address both met and unmet customer needs.

Qualification Requirements

• Bachelor's or postgraduate degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or related disciplines.

Key Stakeholder Groups

• Principal Data Scientist
• Product Owners across the Marketing domain
• Data Engineering (Marketing)

Our purpose Deloitte is led by a purpose: To make an impact that matters.

Every day, Deloitte people are making a real impact in the places they live and work. We pride ourselves on doing not only what is good for clients, but also what is good for our people and the

Communities in which we live and work-always striving to be an organization that is held up as a role model of quality, integrity, and positi ve change. Learn more about Deloitte's impact o n the world.

We are looking for a highly skilled and results-driven Experienced Data Scientist to be at the forefront of developing and implementing Generative AI solutions that address critical business challenges and unlock new opportunities. This individual will leverage their deep expertise in data science, machine learning, and specifically Generative AI techniques to drive impactful projects from ideation to deployment. They will develop AI & ML solutions to tackle complex business challenges and facilitate data-driven decision-making through hands-on work with large datasets and strong collaboration with cross-functional teams to deliver significant results.

Responsibilities:

• Data Handling & Preparation: Work with diverse and large-scale datasets. Perform data cleaning, preprocessing, feature engineering, and create synthetic datasets as needed for training and evaluating Generative AI models. Ensure data quality and integrity throughout the model development lifecycle.
• Model Optimization & Deployment: Optimize Generative AI models for performance, scalability, efficiency, and responsible AI considerations (bias detection and mitigation, hallucination reduction). Collaborate with Machine Learning Engineers and DevOps teams to deploy models into production environments and establish monitoring frameworks.
• Prompt Engineering & Fine-tuning: Develop effective prompts and fine-tuning strategies for Large Language Models to achieve desired outputs and adapt models to specific domains and tasks.
• Generative AI Model Development & Implementation: Design, develop, train, fine-tune, and deploy various Generative AI models, including but not limited to Large Language Models (LLMs), diffusion models, Generative Adversarial Networks (GANs), and Variational Autoencoders (VAEs), for applications such as:
• Text generation (content creation, summarization, chatbots).
• Image and video synthesis.
• Code generation and assistance.
• Synthetic data generation and augmentation.
• Research & Innovation: Stay current with the latest research and advancements in the field of Generative AI, exploring new architectures, methodologies, and tools. Proactively identify and evaluate opportunities to apply cutting-edge Generative AI techniques to solve business problems.
• Experimentation & Evaluation: Design and execute rigorous experiments to evaluate the performance of Generative AI models using relevant metrics (e.g., BLEU, ROUGE, FID, perplexity). Analyze experimental results, identify areas for improvement, and iterate on model development based on findings.
• Collaboration & Communication: Work closely with product managers, software engineers, researchers, and business stakeholders to understand requirements, communicate technical findings, and translate complex AI concepts to non-technical audiences.
• Documentation & Knowledge Sharing: Maintain comprehensive documentation of all development processes, models, and experimental results. Share knowledge and best practices with the broader data science and engineering teams.
• Ethical AI Practices: Adhere to ethical AI principles and guidelines in the development and deployment of Generative AI models, with a focus on fairness, transparency, and accountability.

Heaps is one of the fastest growing health tech start-ups in India today. With more than 5 million patient interactions till date, Heaps is revolutionising how insurers, doctors and patients experience health care. We are building an AI driven end-to-end care management platform which coordinates, tracks and monitors the health of the patient empowering them with the right information to take right decisions at the right time about their health.

Heaps is backed by marquee investors - titans in the healthcare industry who have invested more than $7.4 million in Series A funding. Heaps is on a path for global scaling, we've already expanded in 5 countries across the globe.

Are you a data scientist with a knack for problem solving and crisp communication? Data science team at Heaps is chartered to drive analytics/machine learning programs across the organisation. Heaps is looking for experienced Data Scientists who will be at the forefront of developing products/solutions for insurance/hospital clients across the globe. You will be responsible to drive use cases and analytics assignments to help the clients uncover actionable insights from the data which will lead to improved care for the patients.

Responsibilities

• Understand business problems and work on the statistical and analytical approach required for the solution
• Work on various steps of a data science project - Data mining and Exploratory Data Analysis (EDA), Feature Engineering, Statistical modelling, integration with AI/ML platform, visualisation and result inferencing and presentation to stakeholders
• Leverage machine learning techniques such as regression, classification, clustering, bayesian algorithms, matrix factorization, graphical models, to contribute to the execution of our vision for ML-based technology solutions
• Leverage advanced NLP algorithms/architectures to build custom models for entity extraction and concept recognition, relation extraction, summarization, textual classification and clustering, etc.
• Collaborate with business stakeholders to effectively integrate and communicate analysis findings

Qualifications

• 2-3 years of prior data science experience
• Data science programming languages and querying databases: Python, SQL/HIVE
• Deep understanding of various statistical/ML techniques
• Expertise in the use of cloud based infrastructure to manage the volume and veracity of complex data streams
• Basic knowledge of API frameworks like Flask/Fastapi, version control systems like Git and cloud platform like AWS/GCP

You will lead the development of predictive machine learning models for Revenue Cycle Management analytics, along the lines of:

1 Payer Propensity Modeling - predicting payer behavior and reimbursement likelihood

2 Claim Denials Prediction - identifying high-risk claims before submission

3 Payment Amount Prediction - forecasting expected reimbursement amounts

4 Cash Flow Forecasting - predicting revenue timing and patterns

5 Patient-Related Models - enhancing patient financial experience and outcomes

6 Claim Processing Time Prediction - optimizing workflow and resource allocation

Additionally, we will work on emerging areas and integration opportunities-for example, denial prediction + appeal success probability or prior authorization prediction + approval likelihood models. You will reimagine how providers, patients, and payors interact within the healthcare ecosystem through intelligent automation and predictive insights, ensuring that providers can focus on delivering the highest quality patient care.

VHT Technical Environment

1 Cloud Platform: AWS (SageMaker, S3, Redshift, EC2)

2 Development Tools: Jupyter Notebooks, Git, Docker

3 Programming: Python, SQL, R (optional)

4 ML/AI Stack: Scikit-learn, TensorFlow/PyTorch, MLflow, Airflow

5 Data Processing: Spark, Pandas, NumPy

6 Visualization: Matplotlib, Seaborn, Plotly, Tableau

Job Title: Data Scientist - Computer Vision & Generative AI

Location: Mumbai

Experience Level: 3 to 4 years

Employment Type: Full-time

Industry: Renewable Energy / Solar Services

Job Overview:

We are seeking a talented and motivated Data Scientist with a strong focus on computer vision, generative AI, and machine learning to join our growing team in the solar services sector. You will play a pivotal role in building AI-driven solutions that transform how solar infrastructure is analyzed, monitored, and optimized using image-based intelligence.

From drone and satellite imagery to on-ground inspection photos, your work will enable intelligent automation, predictive analytics, and visual understanding in critical areas like fault detection, panel degradation, site monitoring, and more. If you're passionate about working at the cutting edge of AI for real-world sustainability impact, we'd love to hear from you.

Key Responsibilities:

• Design, develop, and deploy computer vision models for tasks such as object detection, classification, segmentation, anomaly detection, etc.
• Work with generative AI techniques (e.g., GANs, diffusion models) to simulate environmental conditions, enhance datasets, or create synthetic training data.
• Build ML pipelines for end-to-end model training, validation, and deployment using Python and modern ML frameworks.
• Analyze drone, satellite, and on-site images to extract meaningful insights for solar panel performance, wear-and-tear detection, and layout optimization.
• Collaborate with cross-functional teams (engineering, field ops, product) to understand business needs and translate them into scalable AI solutions.
• Continuously experiment with the latest models, frameworks, and techniques to improve model performance and robustness.
• Optimize image pipelines for performance, scalability, and edge/cloud deployment.

Key Requirements:

• 3-4 years of hands-on experience in data science, with a strong portfolio of computer vision and ML projects.
• Proven expertise in Python and common data science libraries: NumPy, Pandas, Scikit-learn, etc.
• Proficiency with image-based AI frameworks: OpenCV, PyTorch or TensorFlow, Detectron2, YOLOv5/v8, MMDetection, etc.
• Experience with generative AI models like GANs, Stable Diffusion, or ControlNet for image generation or augmentation.
• Experience building and deploying ML models using MLflow, TorchServe, or TensorFlow Serving.
• Familiarity with image annotation tools (e.g., CVAT, Labelbox), and data versioning tools (e.g., DVC).
• Experience with cloud platforms (AWS, GCP, or Azure) for storage, training, or model deployment.
• Experience with Docker, Git, and CI/CD pipelines for reproducible ML workflows.
• Ability to write clean, modular code and a solid understanding of software engineering best practices in AI/ML projects.
• Strong problem-solving skills, curiosity, and ability to work independently in a fast-paced environment.

Bonus / Preferred Skills:

• Experience with remote sensing and working with satellite or drone imagery.
• Exposure to MLOps practices and tools like Kubeflow, Airflow, or SageMaker Pipelines.
• Knowledge of solar technologies, photovoltaic systems, or renewable energy is a plus.
• Familiarity with edge computing for vision applications on IoT devices or drones.

Application Instructions:

Please submit your resume, portfolio (GitHub, blog, or project links), and a short cover letter explaining why you're interested in this role to or

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

Responsibilities

• Analyze raw data: assessing quality, cleansing, structuring for downstream processing
• Design accurate and scalable prediction algorithms
• Collaborate with engineering team to bring analytical prototypes to production
• Generate actionable insights for business improvements

Qualifications

• Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• At least 1 - 2 years' of experience in quantitative analytics or data modeling
• Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
• Fluency in a programming language (Python, C,C++, Java, SQL)
• Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)

Reimagine Travel with AI

At MakeMyTrip, we're shaping the future of travel with AI-driven innovation, leveraging LLMs and AI agents to deliver personalized, seamless travel experiences. Join us to take Myra, our conversational AI chatbot, to the next level and redefine how travelers plan their journeys.

Experience Level: 4-6 Years

About the Role:

As a Senior Data Scientist, you will:

• Develop and fine-tune LLMs and AI agents for trip planning and dynamic personalization.
• Build generative AI models for intelligent travel assistants, virtual experiences, and pricing engines.
• Optimize real-time decision-making by leveraging advanced NLP techniques and high-quality data.
• Collaborate with cross-functional teams to deploy scalable AI solutions for millions of travelers.

What You Bring

• Strong experience with PyTorch, TensorFlow, and transformer models like GPT-3/4, BERT, T5.
• Expertise in NLP, LLM fine-tuning, and data-centric ML.
• Proven track record in search relevance, personalization engines, and scalable AI pipelines.
• Proactive problem-solving mindset and ability to work in fast-paced environments.

Why Join Us?

Be part of a team revolutionizing the travel industry with cutting-edge AI and Generative AI technologies, impacting millions of users worldwide.

Education: BE/BTech from Tier 1 institutes (IITs/IIITs/NITs). Preferably MS or Ph.D. in CS/ECE/AI/ML or equivalent.

Job Overview:

We are looking for a AI/ML Developer to join our team of researchers, data scientists, and developers. You will work on cutting-edge AI solutions across industries such as commerce, agriculture, insurance, financial markets, and procurement. Your role involves developing and optimizing machine learning and generative AI models to solve real-world challenges.

Key Responsibilities:

• Develop and optimize ML, NLP, Deep Learning, and Generative AI models.

• Research and implement state-of-the-art algorithms for supervised and unsupervised learning.

• Work with large-scale datasets in distributed environments.

• Understand business processes to select and apply the best ML approaches.

• Ensure scalability and performance of ML solutions.

• Collaborate with cross-functional teams, including product owners, designers, and developers.

• Solve complex data integration and deployment challenges.

• Communicate results effectively using data visualization.

• Work in global teams across different time zones.

Required Skills & Experience:

• Strong experience in Machine Learning, Deep Learning, NLP, and Generative AI.

• Hands-on expertise in frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.

• Experience with LLMs (Large Language Models), model fine-tuning, and prompt engineering.

• Proficiency in Python, R, or Scala for ML development.

• Knowledge of cloud-based ML platforms (AWS, Azure, GCP).

• Experience with big data processing (Spark, Hadoop, or Dask).

• Ability to scale ML models from prototypes to production.

• Strong analytical and problem-solving skills.

If you're passionate about pushing the boundaries of ML and GenAI, we'd love to hear from you!

About this Opportunity

It will be practically impossible for human brains to understand how to run and optimize next generation of wireless networks, i.e., 5G network with distributed edge compute, that will drive economic and social transformation for all aspects of society. Machine Learning (ML) and other Artificial Intelligence (AI) technologies will be vital for us to handle this opportunity. We are setting up a AI Accelerator Hub in India, to fast-track our strategy execution.

Machine Intelligence, the combination of Machine Learning and other Artificial Intelligence technologies is what Ericsson uses to drive thought leadership to automate and transform Ericsson offerings and operations. MI is also a key competence for to enable new and emerging business. This includes development of models, frameworks and infrastructure where we in our advancements push the technology frontiers. We engage in both academic and industry collaborations and drive the digitalization of Ericsson and the Industry by developing state of the art solutions that simplify and automate processes in our products and services and build new value through data insights.

Ericsson is now looking for Senior Data Scientists to significantly expand its global team for AI acceleration for our group in Bangalore.

Do you have in depth understanding of Machine Learning and AI technologies?

Do you want to apply and extend those skills to solve real complex problems with high societal impact; going beyond ML/AI for consumption and advertising?

Then, you do want to join Ericsson's global team of Engineers/Scientists pushing the technology frontiers to automate, simplify and add new value through large and complex data.

What you will do

As a Senior Data Scientist, you will need to have deep knowledge of data science and Machine Learning tools and technologies backed with strong programming skills to implement them. Your knowledge and experience in Data Science methodologies will be applied to solve challenging real-world problems as part of a highly dynamic and global team. You will work in a highly collaborative environment where you communicate and plan tasks and ideas. You will be working on high impact initiatives with other DS in Machine Intelligence to drive growth and economic profitability for Ericsson and its customers by accelerating current Ericsson offerings. Your contribution will also help to create new offerings in the areas of MI driven 4G and 5G network, distributed cloud, IoT and other emerging businesses.

Key Responsibilities:

1. Lead AI/ML feature/capability in a certain functional area of product/business
2. Define the business metrics of success for AI/ML projects and translate them into model metrics
3. Lead end-to-end development and deployment of Generative AI solutions (e.g., LLMs, diffusion models, RAG pipelines) for enterprise-scale use cases using MLOps platforms like Amazon Sagemaker, Bedrock.
4. Design and implement architectures for vector search, embedding models, and Retrieval-Augmented Generation (RAG) systems using modern frameworks and tools (e.g., FAISS, Pinecone, LangChain).
5. Fine-tune and evaluate large language models (LLMs) for domain-specific tasks such as text summarization, Q&A, content generation, and chat interfaces.
6. Collaborate with product, engineering, and business stakeholders to translate vague problems into concrete Generative AI use cases with measurable impact.
7. Develop secure, scalable, and production-grade AI pipelines for both batch and real-time generative use cases.
8. Ensure ethical and responsible AI practices, including bias detection, explain ability, and content safety in generative outputs.
9. Mentor junior team members in GenAI frameworks, best practices, and model performance tuning.
10. Stay current with research and industry trends in Generative AI, LLMs, prompt engineering, and multimodal AI, applying cutting-edge techniques to business problems.
11. Contribute to internal AI governance, tooling frameworks, and reusable components for accelerating GenAI development across teams.
12. Work with huge datasets including petabytes of 4G/5G-networks, IoT and exogenous data
13. Propose/select/test predictive models, recommendation engines, anomaly detection systems, statistical models, deep learning, computer vision, text mining, reinforcement learning and other ML systems
14. Define the visualization and dashboarding requirements working closely with the business stakeholders
15. Build proof-of-concepts for business opportunities using AI/ML and present them to business
16. Lead functional and technical analysis within Ericsson businesses to define AI/ML driven business opportunities and build appropriate solutions
17. Work with multiple data sources (internal/external as well as structured/unstructured) and apply the right feature engineering to AI based models
18. Lead studies and creative usage of new and/or existing data sources. Work with Data Architects to leverage existing data models and build new ones as needed.

What you will bring

Minimum Experience Required - 7 years

Job Location - Bangalore

1. Bachelors/Masters/Ph.D. in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Electrical Engineering or related disciplines from any of the reputed institutes. First Class, preferably with Distinction.
2. Applied experience: 3+ years of ML and/or AI production level experience
3. Strong Programming skills (R/Python) with proficiency in at least one
4. Proven ability of leading AI/ML projects end-to-end with complete ownership
5. Able to map the business metrics of success for AI/ML projects to model metrics
6. Strong grounding in mathematics, probability, statistics needed for data analysis and experiments
7. Strong hands-on experience with exploratory data analysis and visualization techniques
8. Strong and hands-on in the use of current Machine Learning frameworks such as Python, R, H2O, Keras, TensorFlow, Spark ML etc.
9. Ability to implement new algorithms and methodologies from leading open source initiatives and research papers
10. Ability to work with semi-structured and unstructured data sets for AI/ML models
11. Strong understanding of building AI models using Deep Neural Networks
12. Strong hands-on experience in implementing a variety of Machine Learning techniques including model selection, validation, regularization and hyperparameter tuning
13. Good Knowledge of using ensembles and stacking techniques to solve complex ML problems
14. Hands on working in Big Data technologies such as Hadoop, Cassandra etc.
15. Able to source data from multiple data sources and combine them appropriately to build ML models.

Preferred Qualifications:

1. Good communication skills in written and spoken English
2. Creativity and ability to formulate problems and solve them independently
3. Certifying MI MOOCS, a plus
4. Applications/Domain-knowledge in Telecommunication and/or IoT, a plus.
5. Experience with data visualization and dashboard creation is a plus
6. Knowledge of Cognitive models is a plus
7. Ability to work independently with high energy, enthusiasm and persistence
8. Experience in partnering and collaborative co-creation, i.e., working with complex multiple stakeholder business units, global customers, technology and other ecosystem partners in a multi-culture, global matrix organization with sensitivity and persistence.

MakeMyTrip-GoIbibo data science group is looking for a seasoned data science professional, who can build next-gen travel fintech systems powered via personalized product recommendations/persuasions, real-time pricing and causal algorithms.

Candidates would:

Build, deploy & monitor state-of-the-art AI ML RecSys algorithms, often with multi-objective constraints.

Discuss with stakeholders (product, business, revenue) at various stages of project, from data, to problem specifics, to A/B experimentation and model iterations.

Mentor junior data scientists and ML engineers.

Own product recommendation platforms, upgrade model infrastructure pipelines, qualitative and quantitative evaluation pipelines, and scalable APIs to meet 99% SLA at very high RPS, low latencies.

Opportunity to transform massive datasets at MakeMyTrip & GoIbibo into tangible business assets, create significant business impact through data science

Opportunity to build intellectual property via new formidable product moats for travel e-commerce, for Bharat customers.

Desired Profile:

We seek individuals who are smart, highly proficient in DL/ML ranking/re-ranking, search charters, data/error/decision analyses, offline and online learning models, data centric ML, with strong math/statistics foundations, ability to lead and nurture data/modelling rigour in a data science team.

An ideal candidate would have following aspects:

Excellent ML/DL depth and breadth. End to end experience of training and deploying deep learning RecSys models.

Proficient in training tabular DL, sequential, GNN models.

Proficient in training user, session, product/item representation learning.

Aptitude to do complex SQL/python data analyses, error analyses, A/B metric evaluation, identify gaps between business and offline metrics.

Familiarity with contextual bandits/RL algorithms is a plus

Experience building GenAI based solutions for data science workflows will be a plus.

Comfortable working in a fast-paced, quarterly biz impact driven DS environment.

Strong first-principles thinking and attention-to-detail

Qualifications:

BE/BTech preferably from Tier 1 colleges (IITs/ IISc/IIIT/ NITs)

Preferably MS/Mtech or Ph.D in CS/ECE /AI/ML equivalents.

7-11 years of entire work experience in DS/AI/ML

DATA SCIENCE + GEN AI

Major Duties & Responsibilities:

• Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions.
• Create Proof of Concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects.
• Influence machine learning strategy for Digital programs and projects.
• Make solution recommendations that appropriately balance speed to market and analytical soundness.
• Explore design options to assess efficiency and impact, and develop approaches to improve robustness and rigor.
• Develop analytical/modeling solutions using a variety of commercial and open-source tools (e.g., Python, R, TensorFlow).
• Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations.
• Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.
• Create algorithms to extract information from large, multiparametric data sets.
• Deploy algorithms to production to identify actionable insights from large databases.
• Compare results from various methodologies and recommend optimal techniques.
• Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.
• Develop and embed automated processes for predictive model validation, deployment, and implementation.
• Work on multiple pillars of AI, including cognitive engineering, conversational bots, and data science.
• Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment.
• Lead discussions at peer reviews and use interpersonal skills to positively influence decision making.
• Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices.
• Facilitate cross-geography sharing of new ideas, learnings, and best practices.

Required Qualifications:

• Educational Requirement: Bachelor of Science or Bachelor of Engineering (at a minimum).
• Experience: 4+ years of work experience as a Data Scientist.

Skills:

• A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to quickly cycle hypotheses through the discovery phase of a project.
• Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala).
• Good hands-on skills in both feature engineering and hyperparameter optimization.
• Experience producing high-quality code, tests, and documentation.
• Experience with Microsoft Azure or AWS data management tools such as Azure Data Factory, Data Lake, Azure ML, Synapse, Databricks.
• Understanding of descriptive and exploratory statistics, predictive modeling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and deep learning methodologies.
• Proficiency in statistical concepts and machine learning algorithms.
• Good knowledge of Agile principles and processes.
• Ability to lead, manage, build, and deliver customer business results through data scientists or professional services teams.
• Ability to share ideas compellingly, summarize and communicate data analysis assumptions and results.
• Self-motivated and a proactive problem solver who can work independently and in teams.

Founded in the year 2017, CoffeeBeans specializes in offering high end consulting services in technology, product, and processes. We help our clients attain significant improvement in quality of delivery through impactful product launches, process simplification, and help build competencies that drive business outcomes across industries. The company uses new-age technologies to help its clients build superior products and realize better customer value. We also offer data-driven solutions and AI-based products for businesses operating in a wide range of product categories and service domains.We are seeking a highly skilled Data Scientist with a strong background in building AI-powered products using Large Language Models (LLMs) such as OpenAI's GPT models, Llama, etc. In this role, you will leverage your expertise in deep learning, machine learning, and natural language processing (NLP) to develop and optimize scalable, innovative solutions for complex problems.

Key Responsibilities:

• Analyze and interpret complex data sets using Python and SQL, providing insights that influence business decisions.
• Design, implement, and maintain deep learning pipelines to build and optimize AI-powered products.
• Collaborate with cross-functional teams to define data science needs, establish strategies, and develop scalable solutions using state-of-the-art LLMs.
• Fine-tune and adapt LLMs to solve domain-specific problems, continually improving model performance and accuracy.
• Conduct advanced research, experimentation, and iteration on LLM architectures, performance metrics, and deployment strategies.
• Stay abreast of the latest developments in AI, machine learning, NLP, and LLM research, applying cutting-edge techniques to business challenges.

Required Qualifications:

• Education: Bachelor's degree in Computer Science, Data Science, or a related field from a top-tier institution (e.g., IIT).
• Skills & Tools:
• Strong proficiency in Python and SQL for data analysis, model development, and automation.
• Hands-on experience working with open source LLMs.
• Deep understanding of machine learning principles, natural language processing (NLP), and AI technologies.
• Proven ability to develop, fine-tune, and deploy AI-powered products using LLMs.
• Experience:
• 8-10+ years of experience in data science roles, with a focus on AI, machine learning, and large language models.
• Demonstrated track record of developing and deploying products powered by machine learning and AI.

Preferred Skills:

• Familiarity with cloud-based AI services like AWS SageMaker, Google AI Platform, or Azure Machine Learning.
• Experience with MLOps tools such as MLflow, Kubeflow, or Airflow to streamline and scale machine learning workflows.
• Knowledge of deep learning frameworks like TensorFlow or PyTorch.
• Familiarity with model evaluation metrics and techniques to ensure continuous improvement and performance optimization.

Dear Candidate,

Straive is hiring for Senior Data Scientist - Pricing & Promotion Analytics Interested candidate can apply to below link:-

Job Description:-

We are seeking a highly skilled and experienced Lead Data Scientist to join our Pricing & Promotion

Analytics team. This role is focused on solving high-impact commercial problems in the Consumer

Packaged Goods (CPG) space, including trade promotion optimization, price elasticity modeling,

promotion response analytics, and assortment optimization.

The ideal candidate will bring deep technical expertise, strong business acumen, and hands-on

experience working with syndicated retail data (Nielsen, IRI, etc.) and advanced modeling

techniques. This role also offers the opportunity to contribute to the development and

enhancement of pricing and promotion optimization tools.

Key Responsibilities

• Design and implement advanced models to solve business problems such as:
• Trade Promotion Optimization (TPO)
• Price Elasticity Modeling
• Promotion Response Estimation
• Assortment Optimization

Apply a range of statistical and machine learning techniques, including but not limited to:

• Linear and Non-linear Regression
• Hierarchical Bayesian Regression (HBR)
• Mixed-effects models
• Optimization algorithms (e.g., linear, non-linear, integer programming)

Collaborate on the development and enhancement of pricing and promotion optimization tools, contributing algorithms and technical logic.

• Leverage syndicated POS data (e.g., Nielsen, IRI) and internal client data to develop robust,

production-grade models.

• Translate analytical outputs into business insights and actionable recommendations for pricing, promotion planning, and assortment strategy.
• Work cross-functionally with business, tech, and product teams to embed models into

enterprise systems and business workflows.

• Provide technical mentorship to junior data scientists and contribute to the development of modeling standards and best practices.

Required Skills

• 5+ years of hands-on experience in data science or applied analytics
• Strong understanding of CPG commercial functions: pricing, promotions, RGM, category management
• Statistical Modeling: Linear/Multiple Regression, Logistic Regression, Hierarchical Bayesian Regression (HBR), Time-Series Forecasting
• Optimization Techniques: Linear programming (LP), Mixed-Integer Programming (MIP),

Constraint-based modeling, Gradient-based optimization

• Programming Languages: Proficiency in Python or R (preferred libraries: statsmodels, pyMC3, scikit-learn, pandas, numpy)
• SQL: Strong data manipulation and querying skills
• Data Visualization: Experience with tools such as Tableau, Power BI, or Python/R-based

libraries like matplotlib, seaborn, plotly

• Cloud & Tooling (optional but preferred): Exposure to cloud platforms (AWS, GCP, Azure),

Git, Docker, CI/CD pipelines

• CPG Data Handling: Experience working with large-scale retail data such as Nielsen, IRI, retailer POS systems; comfort with cleaning, transforming, and harmonizing disparate data sets
• Strong business communication skills; ability to explain technical concepts to non-technical stakeholders
• Good to have prior consulting experience

Coditas Solutions is seeking a highly skilled and motivated Lead Data Scientist to join our dynamic team. As a Data Scientist, you will play a key role in designing, implementing, and optimizing machine learning models and algorithms to solve complex business challenges. If you have a passion for leveraging AI and ML technologies to drive innovation, this is an exciting opportunity to contribute to groundbreaking projects.

Roles and Responsibilities

• Lead the design, implementation, and optimization of machine learning and AI models using Python and R.
• Develop and deploy scalable predictive models and decision-making systems for business-critical applications.
• Conduct advanced exploratory data analysis (EDA) to extract actionable insights from structured and unstructured data.
• Collaborate with data engineers to ensure high-quality, well-structured datasets for training and inference.
• Own the end-to-end model lifecycle, from development to deployment, monitoring, and continuous improvement.
• Guide the integration of AI/ML models into enterprise-level production systems in collaboration with software engineering teams.
• Provide technical leadership, mentoring junior data scientists and driving best practices in ML model development and deployment.
• Stay ahead of the curve by evaluating and implementing cutting-edge AI/ML advancements, including LLMs and GenAI models.
• Work closely with stakeholders, product teams, and clients to define business challenges and design AI-driven solutions.
• Drive model interpretability, explainability, and responsible AI practices within the organization.

Technical Skills

• 6-14 years of hands-on experience in designing and implementing machine learning, deep learning, and AI solutions.
• Strong programming expertise in Python and R, with proficiency in implementing complex algorithms.
• Extensive experience with cloud platforms (AWS, Azure, GCP) for deploying scalable machine learning solutions.
• Proficiency in MLOps practices, ensuring robust model deployment, monitoring, and retraining workflows.
• Strong background in classical ML algorithms (e.g., linear regression, logistic regression, decision trees, random forests, SVM) and deep learning architectures (CNNs, RNNs, Transformers).
• Hands-on experience with ML/DL libraries such as Scikit-learn, TensorFlow, PyTorch, Keras, NLTK, OpenCV.
• Expertise in data preprocessing, feature engineering, and model evaluation for structured and unstructured data.
• Proven experience in selecting and engineering relevant features to enhance model performance.
• Understanding of LLMs (Large Language Models) and GenAI technologies, with the ability to optimize their usage for enterprise applications.
• Strong problem-solving, critical thinking, and analytical skills to drive AI/ML innovations.
• Exceptional communication and leadership skills, with experience in mentoring teams and collaborating with cross-functional stakeholders.

Join our team and be part of a fast-paced and innovative work environment where your expertise will make a significant impact on our organization's growth and success.

Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You'll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.

Offices: New York Dallas San Francisco Lima Bengaluru

The below role is for our Bengaluru office.

About the Role:

You will work on a broad range of cutting-edge data science and machine learning problems across a variety of industries. You will be engaging with clients to understand their business context. If you are passionate to work on complex unstructured business problems that can be solved using data science and machine learning we would like to talk to you.

Function: Data Science and Analysis Data Science / Machine Learning

Desired Skills & Competencies:

• Strong learning acumen
• High sense of ownership
• Ability to work in a fast-paced and deadline-driven environment
• Loves technology
• Highly skilled at Data Interpretation
• Problem solver
• Good exposure to machine learning concepts and algorithms
• Must be fluent with any one of Python, R, Java
• Strong in statistical & machine learning concepts
• Knowledge of Python Libraries - SciPy, NumPy, Pandas, I Python, Scikit-learn
• Knowledge of distributed big data processing (PySpark, Jupyter, Linux, AWS)

Responsibilities:

• Hypothesis testing, insights generation, root cause analysis, factor analysis

Statistical model (predictive & prescriptive) development using various statistical & machine learning techniques/algorithms

• Test/train the model, Improve Model accuracy, Monitor model performance

Data Extraction from EDW/Big Data Platform, Dataset Preparation (creation of base data, aggregation, transformation), performing EDA

Desired Experience & Education:

• 3 - 5 years of relevant Machine Learning experience.
• B. Tech from Tier-1 college / M.S or M. Tech is preferred in Computer Science, Information Technology, or similar degree.

What You'll Do

Support business decision making by deriving actionable insights

from structured and unstructured data

Conduct end-to-end machine learning and data analytics

activities, including data wrangling, feature engineering, building

and evaluating ML models.

Research and implement novel machine learning approaches to enable informed

business decisions.

Collaborate with business and engineering teams to analyze, extract,

normalize, and label relevant data.

Perform data engineering, feature engineering, data

preprocessing to train and tune ML models

Utilize BI tools to prepare reports, analyze and visualize data.

Implement MLOps practices such as CI/CD and continuous training

(CT) for deploying and maintaining ML models in production

environments.

Your Superpowers:

Experience

3 to 5 years of experience in data analytics and machine learning

Hands-on experience with ML frameworks and libraries such as TensorFlow, PyTorch,

Scikit-learn, Pandas and NumPy.

Proficiency in writing production-quality code in Python, with a strong

understanding of object-oriented programming principles

Proven experience in analyzing and working with large datasets

Hands on experience with various BI tools

Expertise in applying both supervised and unsupervised learning techniques

3

Expertise & Learning Agility

You are open to new ways of thinking and committed to acquiring new skills to

retain a competitive advantage

You employ a thoughtful process of analyzing data and problem solving to reach

well-reasoned solutions

Strong collaboration, communication, and creative thinking skills

Join Electrifi

Associates,

you are doing well & Safe!

from Rrootshell Technologiiss

have URGENT & MULTIPLE Requirements for Scientist Position.

#Work Mode: Remote Work Opportunity in INDIA Only.

is for FULL -TIME role.

Job Description: Data Scientist / Data Analysis

• 5+ years of experience designing and implementing AI/ML solutions on Google Cloud Platform.
• Google Professional Machine Learning Engineer certification is preffered.
• Strong proficiency with GCP services such as Vertex AI, BigQuery, Cloud Dataflow, AI Platform, and AutoML.
• Hands-on experience with machine learning frameworks.
• Proficiency in programming languages such as Python.
• Experience with MLOps and CI/CD tools, including Cloud Build and Vertex AI Pipelines.
• Strong understanding of AI/ML algorithms, data structures, and model optimization techniques.
• Experience with containerization (Docker, Kubernetes) and orchestration using Google Kubernetes Engine (GKE).
• Hands-on experience with Generative AI applications and deploying them on any cloud

for IMMEDIATE JOINERS OR max 15 Days' notice

If you are interested, kindly share your UPDATED resume with

LinkedIn ID:

Regards

Ravi Kumar

Account Manager

Job Title: Data Scientist - Deep Learning, NLP, Generative AI & Computer Vision

Location: Hyderabad, India

Job Type: Full-time

Experience: 3-8 years

Industry: IT / Artificial Intelligence / Software Services

Job Summary:

We are seeking a highly skilled and motivated Data Scientist with a strong background in Deep Learning, Natural Language Processing (NLP), Generative AI, and Computer Vision to join our team in Hyderabad. The ideal candidate will be responsible for designing, building, and deploying advanced AI models to solve real-world problems and drive innovation across our product lines.

Required Skills & Qualifications:

Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field (Ph.D. preferred).

3+ years of experience in applied machine learning or data science roles.

Strong expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.

Hands-on experience with NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK).

Proven experience with computer vision tools (e.g., OpenCV, YOLO, CNNs, Vision Transformers).

Exposure to Generative AI models like GPT, DALL E, or Stable Diffusion.

Proficiency in Python and familiarity with libraries such as NumPy, Pandas, Scikit-learn.

Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.

Excellent problem-solving skills and ability to work in a fast-paced environment.

Interested can share your resume at

Role Title: Data Scientist

Location: India Worker Type: Full-Time Employee (FTE)

Years of Experience: 8+ years

Start Date: Within 2 weeks

Engagement Type: Full-time

Salary Range: Flexible

Remote/Onsite: Hybrid (India-based candidates)

Job Overview:

We are looking for an experienced Data Scientist to join our team and contribute to developing AIdriven data conversion tools. You will work closely with engineers and business stakeholders to build intelligent systems for data mapping, validation, and transformation.

Required Skills and Experience:

• Bachelor's or Master's in Data Science, Computer Science, AI, or a related field

• Strong programming skills in Python and SQL

• Experience with ML frameworks like TensorFlow or PyTorch

• Solid understanding of AI-based data mapping, code generation, and validation

• Familiarity with databases like SQL Server and MongoDB

• Excellent collaboration, problem-solving, and communication skills

• At least 8 years of relevant experience in Data Science

• Open mindset with a willingness to experiment and learn from failures

Preferred Qualifications:

• Experience in the financial services domain

• Certifications in Data Science or AI/ML

• Background in data wrangling, ETL, or master data management

• Exposure to DevOps tools like Jira, Confluence, BitBucket

• Knowledge of cloud and AI/ML tools like Azure Synapse, Azure ML, Cognitive Services, and Databricks

• Prior experience delivering AI solutions for data conversion or transformation

TJob description

We are seeking a highly skilled Data Scientist with a passion for AI, machine learning, and deep learning to join our dynamic team. The ideal candidate will have experience in generative models, LLMs, and advanced AI techniques, and will contribute to solving complex business challenges.

Job Title: Data Scientist (Generative AI LLMs)

Location: Bengaluru, Gurugram, Mumbai, Coimbatore

• 2+years Of experience in machine learning, deep learning, or Al research, With a focus on generative models.
• Experience With generative models such as GANS (Generative Adversarial Networks),
• VAEs (Variational Autoencoders), and transformer-based models (e.g., GPT-3/4, BERT, DALL.E).
• Understanding of model fine-tuning, transfer learning, and prompt engineering in the context Of large language models (LLMS).
• Knowledge of reinforcement learning (RL) and other advanced machine learning techniques applied to generative tasks.
• Strong programming skills in python and familiarity With relevant libraries and frameworks.
• Proven experience in document detail extraction and feature engineering.
• Proficiency in data processing and manipulation techniques.
• Hands-on experience in building data applications using Streamlit or similar tools.
• Advanced knowledge in prompt engineering, chain of thought processes, and Al agents.
• Excellent problem-solving skills and the ability to work effectively in a collaborative environment.
• Strong communication skills to convey complex technical concepts to non-technical stakeholders.

Qualifications - Bachelor's or master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.

Job Location: Pune (Base)- 3 days WFO with 1 day WFH

Mode- Remote (4.30 PM - 1 AM)

Job Summary:

We are looking for an experienced Data Scientist with 2-4 years of hands-on experience in developing machine learning and deep learning models, specifically in the domain of text analytics and natural language processing (NLP). The ideal candidate will take ownership of the entire process, from understanding requirements to proposing and designing effective solutions. This role requires a professional capable of developing innovative projects in NLP, text analytics and text generation.

Key Responsibilities:

• Collaborate with stakeholders to gather and understand business requirements.
• Propose and design innovative solutions using machine learning and deep learning techniques.
• Develop and validate models for text analytics, NLP, and text generation applications, using machine learning, deep learning techniques
• Analyze and assess the effectiveness of solutions through testing and validation.
• Conduct comprehensive data analysis and statistical modeling to extract insights and drive data-driven decision-making
• Communicate insights and results clearly to both technical and non-technical audiences.
• Stay updated on industry trends and advancements in data science and NLP.
• Mentor and guide juniors, fostering a culture of continuous learning and improvement.

Required Skill Set (Must):

• Good analytical skills and an inherent ability to solve problems.
• Bachelor's or master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• Proven expertise in text analytics, NLP, machine learning, and deep learning.
• Strong proficiency in Python, demonstrating algorithmic thinking.
• Proven experience with machine learning libraries such as NLTK, spaCy, Scikit-learn, Pandas, and NumPy.
• Must have experience in training and validating models using deep learning frameworks like TensorFlow or PyTorch, including Hugging Face.
• Must have experience in tuning and validating models from the families of BERT, T5, BART, or FLAN-T5.
• Must have experience in performing hyperparameter tuning in at least one project

Good To Have Skill Set:

• In-depth knowledge of the fundamentals of transformer-based models and related techniques.
• Hands-on experience with generative models (e.g., GANs, VAEs, GPT).
• Experience developing with frameworks like LangChain and LlamaIndex
• Other GenAI related skills RAG pipeline design, Multi agentic solution

DATA SCIENTIST

About Nous

Nous Infosystems is a CMMI Level 5 and ISO 9001:2000 certified global information Technology Company with expertise in providing quality software solutions and IT-enabled support services to a wide range of industries. Nous was incorporated in 1996 with the mission of providing the highest quality software development services to clients around the world. Over the years, we have successfully broadened our service offerings to include consultancy services, software and hardware testing services, and a comprehensive range of IT enabled services.

To know more about the company pls. visit our website

We are looking for a strong Data scientist with the following expertise.

Job Title: Data Scientist

Location: Bengaluru

Job Type: Full-time

Experience :- 8-12 years

Job Summary:

Key Responsibilities:

Job Description:-

• Experience in data science, with a strong focus on generative AI, deep learning, machine learning, NLP, and large language models.
• Proven track record of developing and deploying successful deep learning and NLP models in real-world applications.
• Proficiency in programming languages such as Python, and experience with machine learning frameworks such as PyTorch, TensorFlowor similar.
• Strong understanding of natural language processing (NLP) techniques and experience with large language models like GPT, BERT, or similar.
• Proficiency in machine learning and and deep learning algorithms such as Neural networks, multi-class classifications, decision trees, support vector machines etc.
• Prior experience working on building Gen AI frameworks and leveraging and/or finetuning LLM's.
• Excellent problem-solving skills and the ability to think critically and creatively.
• Strong communication and leadership skills, with a demonstrated ability to work effectively in a collaborative environment.
• Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc.
• Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. AWS Bedrock, AWS S3, AWS Sagemaker, Azure AI search, Azure OpenAI, Azure blob storage etc.

• What Would Make You Stand Out:
• Passionate about the power of data, GenAI and predictive analytics to drive better business outcomes for customers
• Proven ability to work effectively in a distributed working environment and ability to work efficiently and productively in a fast-paced environment
• Familiarity with credit ratings agencies, regulations, and data products around the world
• Outstanding written and verbal communication skills
• A champion of good code quality and architectural practices.
• Strong interpersonal skills and ability to work proactively and as a team player

If you feel you match the above JD, then please do share your latest profile with the following details to

Current CTC :-

Expected CTC :-

Minimum Notice period:-

Regards

Shilpa V

About us

We are surrounded by the world's leading consumer companies led by technology - Amazon for retail, Airbnb for hospitality, Uber for mobility, Netflix and Spotify for entertainment, etc. Food & Beverage is the only consumer sector where large players are still traditional restaurant companies. At Rebel Foods, we are challenging this status quo as we are building the world's most valuable restaurant company on the internet, superfast.

The opportunity for us is immense due to the exponential growth in the food delivery business worldwide which has helped us build 'The World's Largest Internet Restaurant Company' in the last few years. Rebel Foods' current presence is India, Indonesia, UAE, UK & KSA with close to 50 brands and 4500+ internet restaurants has been built on The Rebel Operating System

.

While for us it is still Day 1, we know we are in the middle of a revolution towards creating never seen before customer-first experiences. We bring you a once-in-a-lifetime opportunity to disrupt the 500-year-old industry with technology at its core.

Job Description

We are looking for a Data Scientist-II to join our Data Science & Analytics (DSA) Team. You will get to work with other data scientists, analysts, data engineers, PMs and business teams on some of the toughest and most interesting problems in our industry. Our work spans across areas of inventory forecasting, order predictions, marketing spend optimization, delivery time prediction, personalization, customer insighting, product recommendations, supply chain planning, capacity optimization, and more. The role will involve understanding business problems, designing relevant ML solutions, building & deploying new models, maintaining & enhancing existing models, and automating performance measurement of the same. We are looking for someone who is excited to work in a fast-growing industry, has a spirit of ownership & collaboration, and loves seeing the impact of what they have built at scale!

What our team ownsAt Rebel, the Data Science & Analytics team builds and maintains all ML models, rule-based intelligence, automated reports and dashboards used by the organization. We are on a mission to drive business impact via ML and Data Science and grow adoption of these areas at Rebel. We also want to enable the organization to better understand and effectively use ML and DS. We interact with teams across every business area such as Supply, Operations, Demand Generation, D2C, Finance, Brands, Customer Delight, Central Planning and many more. We are never short of interesting challenges and we balance delivering continuous impact and great CX, while building strong foundations to drive sustainable ML returns overtime.

Specific Qualifications

• Strong working knowledge of a variety of machine learning techniques (Regression, Classification,Clustering, Decision Tree, Probability Networks, Neural Networks, Bayesian models etc.)
• Proficient in Python, SQL, and machine learning libraries (e.g., TensorFlow,scikit-learn).
• Experience in working with varied data types (structured and unstructured) and databases
• Experience with Machine Learning and related technologies such as Python, Tensorflow, Amazon SageMaker
• Excellent problem-solving skills with a demonstrated ability to think analytically and strategically.

Good-to-have

• Experience solving NLP-based problems or working with LLMs / prompt engineering
• Working with non-tech stakeholders and explaining ML performance in simple language
• A love of food (Yes, we have regular tasting sessions at office!)

AFour is part of ACL Digital, an ALTEN Group Company, which is a digital product innovation and engineering leader. We help our clients design and build innovative products (AI, Cloud, and Mobile ready), content and commerce-driven platforms, and connected, converged digital experiences for the modern world through a design-led Digital Transformation framework. By integrating our strategic design, engineering, and industry capabilities, we help our clients decode the digital world and accelerate their growth journey. Headquartered in Silicon Valley, ACL Digital is a leader in design-led digital experience, innovation, enterprise modernization, and product engineering services converging to Technology, Media & Telecom. We are a talented workforce and part of the 50,000+ employee ALTEN Group, spread across more than 30 countries, offering a multicultural workplace and a collaborative knowledge environment. In INDIA we have operations in Bangalore, Chennai, Pune, Panjim, Hyderabad, Noida and Ahmedabad. In the USA, we have offices in California, Atlanta, Philadelphia, and Washington states

Technical skills and competencies:

4-5 years of relevant experience

Training/Certification in Data Science/Machine Learning is preferred

Ability to effectively work with technical leads

Strong communication skills, ability to synthesize conclusions

Familiarity with Data Science concepts, Machine Learning algorithms & Libraries such as Scikit-learn, Numpy, Pandas, Stattools, Tensorflow, PyTorch, XGBoost

Worked in Machine Learning Training and Deployment pipelines

Worked in FastAPI/Falsk framework

Worked in Docker and Virtual Environment

Worked in Database Operations

Strong analytical and problem solving skills

Ability to thrive in a dynamic environment where there can be degrees of ambiguity

Candidate Profile and Competencies:

To be able to apply data mining, quantitative analysis, statistical techniques and conduct simultaneous experiments, to help us draw reliable insights from data.

To be able understand business use-cases and use various sources to collect and annotate datasets for the business problems.

To have a strong academic background with good analytical skill and exposure to machine learning and information retrieval domain and technologies

Strong programming skills, must be able to work in programming languages such as Python, C/C++, etc

Acquire data from primary or secondary data sources and perform data tagging

Filter and clean data as per the business requirement and maintain a well-defined, structured and clean database

Work on data labeling tool(s) and annotate data for machine learning models. Sift through structured and unstructured data; identify the right content and annotate with the right label

Interpret data, analyse results using statistical techniques and models and conduct exploratory analysis

Regards,

Komal Narole

About the company:

About Titan

At Titan, we're redefining email for entrepreneurs, innovators, and creators-transforming it into a powerful tool for business growth. Built by a team that deeply cares about helping businesses succeed, Titan is more than just an email platform.

Founded by Bhavin Turakhia, who also founded Directi, Radix, and Zeta, with a combined enterprise value exceeding $2 billion-Titan is backed by a strong legacy of innovation. Today, Titan powers millions of conversations, with 2.4 million emails sent and received every week. In 2021, Automattic (the parent company of WordPress, Your Way ) invested $30M in Titan, valuing the company at $300M. This partnership fuels our mission to revolutionize email and build the future of digital communication.

At Titan, you'll be part of a fast-growing business, solving meaningful problems and shaping a product that empowers millions. Join us to make a real impact.

About Neo

Neo is our fast-growing direct-to-customer platform designed to help small businesses, solopreneurs, and professionals establish a professional online presence with ease. Our offering includes domain name registration, an AI-powered website builder, and professional email-packaged at an affordable monthly rate to ensure accessibility for businesses of all sizes. We are now poised for our next phase of growth and are seeking a Growth Marketing Lead to accelerate new customer acquisition.

About the Role:

Join a high-performing team of data scientists and cross-functional partners to uncover insights, drive product strategy, and shape the future of our products. You'll work across the business to identify key opportunities, optimize campaigns, and inform go-to-market and product decisions with data at the core.

Roles and responsibilities:

• Work with both large and small datasets to solve a variety of business problems using rigorous analytical and statistical methods.
• Apply technical expertise with managing data infrastructure, quantitative analysis, experimentation, dashboard building and data storytelling to develop actionable strategies and influence product and business decisions.
• Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics, and initiatives to understand trends and performance.
• Make sound, data-informed recommendations, even when data is sparse, through strong judgment and a structured approach to uncertainty.
• Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Skills and qualifications:

• Bachelor's or Master's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, or Economics et al.
• 3+ years of experience in data science, analytics, or related roles.
• Proficient in SQL and scripting languages such as Python.
• Comfortable working with imperfect or incomplete data, and able to apply appropriate methodologies to extract insights.
• Experience with data visualization tools (e.g., Metabase, Tableau, Power BI, QuickSight)
• Familiarity with machine learning techniques (e.g., regression, decision trees) is a bonus.
• Nice to have: experience working with AWS Cloud, Apache AirFlow.

Perks and Benefits:

We at Titan love our jobs. And it's no surprise - we get to work on exciting and new projects, in a vibrant atmosphere that is designed to be comfortable and conducive for our personal and professional growth. And Titan goes the extra mile to make you feel at home. We offer benefits ranging from affordable catered meals and even snacks on the house. Our workspaces are welcoming and fun, complete with bean bag chairs and ping pong tables. You are free to wear what makes you comfortable and choose the hours you keep as a team. Oh, and we've got your family covered too, with excellent health insurance plans and other benefits. In short, everything you need to be your best self at work!

If you like the idea of working on solutions that have a truly global impact, get in touch!

Job Title: Lead Data Scientist - NLP & Computer Vision

Location: India (Remote, with monthly travel to Indore and occasional travel to the UK)

Employment Type: Permanent, Full-time

About the Role

We're seeking an ambitious and highly capable Lead Data Scientist with deep expertise in Natural Language Processing (NLP) and Computer Vision (OpenCV) to take a leading role in our AI journey. This is a hands-on technical role with strategic scope - ideal for someone who thrives in building robust solutions, mentoring others, and wants to grow into a Head of Data Science position.

You'll be responsible for delivering high-impact AI projects across diverse data domains (text, image, and structured data), while also setting technical direction, guiding junior colleagues, and helping shape our data science capability across the organisation. Excellent communication - both written and spoken - will be critical, as you'll work closely with technical and non-technical stakeholders in India and internationally.

Key Responsibilities

• Design, build, and deploy production-ready NLP and computer vision models to solve real-world problems.
• Lead by example with hands-on development, research, and experimentation using cutting-edge ML/DL techniques.
• Guide and mentor a small team of junior/mid-level data scientists and actively contribute to their growth.
• Collaborate with cross-functional teams (Engineering, Product, Business) across geographies.
• Apply advanced NLP techniques (e.g. classification, summarisation, entity extraction, semantic search) using tools like spaCy, HuggingFace Transformers, BERT, GPT, etc.
• Solve computer vision challenges (e.g. object detection, image classification, feature extraction) using OpenCV, PyTorch, TensorFlow, etc.
• Drive quality and performance tuning, experimentation frameworks, and model lifecycle practices.
• Contribute to defining a strategic roadmap for data science and AI within the business.
• Work with cloud platforms (Azure, AWS) for model training, deployment, and monitoring.
• Occasionally travel to Indore (monthly) and to the UK (as needed) for collaborative sessions and leadership meetings.

Required Skills & Experience

• 6+ years of hands-on experience in data science, with at least 4 years focused on NLP and computer vision.
• Strong Python skills, including use of Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch.
• Experience deploying ML models in cloud environments (Azure, AWS, or similar).
• Solid grounding in machine learning fundamentals and deep learning architectures.
• Proven ability to solve end-to-end ML problems - from exploration to deployment and monitoring.
• Experience mentoring junior team members or leading technical efforts.
• Excellent spoken and written English communication skills - able to clearly convey complex ideas to both technical and business audiences.
• Collaborative mindset, with the ability to engage confidently across distributed teams and international stakeholders.

Nice to Have

• Experience with MLOps, experiment tracking, and CI/CD for machine learning (e.g. MLFlow, DVC, Kubeflow).
• Exposure to geospatial, public sector, real estate, or sustainability data domains.
• Familiarity with ethical AI principles, model interpretability, and responsible data use.

Job Description, duties & responsibilities

Progress Rail's data science team is looking for a motivated and talented Data Scientist who will primarily focus on developing Machine Learning/Artificial Intelligence based data models for condition-based monitoring of its assets. In this role, the candidate will contribute to the design, development and deployment of world class rail products and services vital to our customer's needs. Reporting to the Director of Data Science, this role will enable innovative, strategic, and high-tech solutions for the rail industry through the application of specialized knowledge, skills, and abilities. Work involves independent judgement, problem solving skills, resourcefulness, teamwork, and creativity in ambiguous situations. A high degree of personal initiative is a prerequisite. Typical data science team efforts are a combination of some, or all the key job elements listed below.

The ideal candidate is an experienced self-starter, strong attention to details, with excellent written and verbal skills. Enjoys working in a collaborative, fast-paced, environment and is willing to take on roles outside of comfort zone. Technical aptitude and being well versed in Machine Learning and Data Science tools and processes is a must. The role will work closely with the different engineering teams.

Key Job Elements

Contribute to the design, development, testing, and deployment of software systems and applications.

Processing, cleansing, and verifying the integrity of data used for analysis.

Apply Machine Learning and other advanced analytical techniques to develop models for condition-based monitoring of locomotive systems.

Apply Natural Language Processing (NLP) and Large Language Model (LLM) to support text mining, document summarization and others.

Understand the business needs and develop data-based solutions.

Doing ad-hoc analysis and presenting results in a clear manner

Supporting field reported issue resolution through data analysis

System integration of Machine Learning models

Mentor and assist data scientists providing technical assistance and direction as needed

Technical Skill

Experienced Data Scientist with 7+ years' experience in Data Extraction, Data Modelling, Data Wrangling, Statistical Modeling, Data Mining, Machine Learning and Data Visualization.

Expertise in transforming business resources and requirements into manageable data formats and analytical models, designing algorithms, building models, developing data mining, and reporting solutions that scale across a massive volume of structured and unstructured data.

Proficiency in managing entire data science project life cycle and actively involved in all the phases of project life cycle including data acquisition, data cleaning, data engineering, features scaling, features engineering, testing and validation and data visualization.

Expertise in applying Machine Learning algorithms (such as Regression Models, XGBoost, Neural Network, and others) for predictive analytics.

Experience in Generative AI developing LLM based solutions for document search/summarization using RAG architecture.

Expertise in applied statistics skills, such as distributions, statistical testing, regression, etc.

Strong experience with Python, SQL, and R.

Experience and knowledge of AWS cloud which includes Machine Learning related services, S3, Elastic search, Lambda, and others.

Experience in integrating Machine Learning models into larger deployed systems.

Proficiency in data visualization tools such as PowerBI, Python Matplotlib, R Shiny to create visually powerful and actionable interactive reports and dashboards.

Experience in Natural Language Processing and Text Mining.

Strong business sense and abilities to communicate data insights to both technical and non-technical clients.

Competent to perform all job duties without close supervision.

Desired :

Rail industry experience

Experience in developing models using telematics (sensor) data from equipment such as engines, machines, and others.

Qualifications and Education Requirements

B.S, M.S, or PhD degree in quantitative discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, or other related degree.

7+ years of data science experience with B.S., or 5+ years of experience with Advanced degrees

7+ years of experience with Python, R, SQL, and relational data bases

Job Summary:

Analyzes the data needs of enterprise to build, optimize and maintain conceptual ML / Analytics models. Data scientist provides expertise in modeling & statistical approaches ranging from regression methods, decision trees, deep learning, NLP techniques, uplift modeling; statistical modeling such as multivariate techniques.

Roles & Responsibilities :

• Design ML design and Ops stack considering the various trade-offs.
• Statistical Analysis and fundamentals
• MLOPS frameworks design and implementation
• Model Evaluation best practices -Train and retrain systems when necessary.
• Extend existing ML libraries and frameworks -Keep abreast of developments in the field.
• Act as a SME and tech lead / veteran for any data engineering question and manage data scientists and influence DS development across the company.
• Promote services, contribute to the identification of innovative initiatives within the Group, share information on new technologies in dedicated internal communities.
• Ensure compliance with policies related to Data Management and Data Protection

Preferred Experience:

• Strong experience (3+ years) with Building statistical models, applying machine learning techniques
• Experience (3+ years) on Big Data technologies such as Hadoop, Spark, Airflow/Databricks
• Proven experience (3+ years) in solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
• Proven experience (3+ years) on innovation implementation from exploration to production: these may include containerization (i.e. Docker/Kubernetes), Big data (Hadoop, Spark) and MLOps platforms.
• Deep understanding of E2E software development in a team, and a track record of shipping software on time
• Ensure high-quality data and understand how data, which is generated out experimental design can produce actionable, trustworthy conclusions.
• Proficiency with SQL and NoSQL databases, data warehousing concepts, and cloud-based analytics database (e.g. Snowflake , Databricks or Redshift) administration

We're Hiring: Data Scientist (5+ Years Experience)

Location: Manyata Embassy Business Park, Bangalore, India

Notice Period: Immediate Joiners Preferred

Are you a Data Scientist with a passion for turning complex data into actionable insights? We're looking for an experienced professional to join our team in Bangalore!

What You'll Bring:

• 5+ years of hands-on experience in Python programming
• Strong foundation in Machine Learning algorithms and model development
• Experience working with Large Language Models (LLMs) and advanced NLP techniques
• Expertise in Data Visualization tools like Plotly, Power BI, or Tableau
• Ability to translate business problems into data-driven solutions

What You'll Do:

• Design and deploy ML models to solve real-world problems
• Work with massive datasets to generate meaningful insights
• Collaborate with cross-functional teams to build intelligent products
• Create clear and interactive dashboards to communicate findings
• Stay up-to-date with the latest advancements in AI and LLMs

Sr. Executive / Assistant Manager Data Scientist

Godrej Agrovet

Mumbai, Maharashtra, India

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Job Title: Sr. Executive / Assistant Manager Data Scientist

Job Type: Permanent, Full-time

Function: Digital

Business: Godrej Agrovet

Location: Mumbai, Maharashtra, India

About Godrej Agrovet:

Godrej Agrovet Limited (GAVL) is a diversified, Research & Development focused agri-business Company dedicated to improving the productivity of Indian farmers by innovating products and services that sustainably increase crop and livestock yields. GAVL holds leading market positions in the different businesses it operates - Animal Feed, Crop Protection, Oil Palm, Dairy, Poultry and Processed Foods. GAVL has a pan India presence with sales of over a million tons annually of high-quality animal feed and cutting- edge nutrition products for cattle, poultry, aqua feed and specialty feed. Our teams have worked closely with Indian farmers to develop large Oil Palm Plantations which is helping in bridging the demand and supply gap of edible oil in India. In the crop protection segment, the company meets the niche requirement of farmers through innovative agrochemical offerings. GAVL through its subsidiary Astec Life Sciences Limited, is also a business-to-business (B2B) focused bulk manufacturer of fungicides & herbicides. In Dairy and Poultry and Processed Foods, the company operates through its subsidiaries Creamline Dairy Products Limited and Godrej Tyson Foods Limited. Apart from this, GAVL also has a joint venture with the ACI group of Bangladesh for animal feed business in Bangladesh.

For more information on the Company, please log on to

Roles & Responsibilities:

• Data Cleaning, Preprocessing & exploration: Prepare data for analysis, ensuring quality, consistency, and completeness by handling missing values, outliers, and transforming data. Explore and analyze large and complex datasets to identify patterns, trends, and anomalies
• Machine Learning Model Development: Build, train, and deploy machine learning models on the Databricks platform, leveraging tools such as ML flow for experiment with techniques like regression, classification, clustering, and time series analysis
• Model Evaluation & Deployment: Develop and select features to improve model performance, leveraging Databricks' distributed computing capabilities for efficient processing. Familiarity with CI/CD tools (e.g., Jenkins, GitLab) for automating deployment and testing of data pipelines
• Collaboration: Collaborate with data engineers, analysts, and business stakeholders to understand business requirements and translate them into data-driven solutions.
• Data Visualization and Reporting: Create visualizations and dashboards within Databricks, Power BI and other tools to communicate insights to technical and non-technical stakeholders.
• Continuous Learning: Stay up to date with the latest developments in data science, machine learning, and industry best practices to continually enhance skills and processes.

Key Skills:

• Knowledge of statistical analysis techniques, hypothesis testing, and machine learning
• Familiarity with NLP, time series analysis, and computer vision or A/B testing
• Databricks and Apache Spark: Proficiency with Databricks, Spark DataFrames and MLlib
• Programming: Proficiency in (Python, TensorFlow, Pandas, scikit-learn, PySpark, NumPy) with experience in writing scalable code for large datasets
• SQL: Strong SQL skills for data extraction, manipulation, and analysis
• Familiarity with ML flow for tracking, model versioning, and reproducibility.
• Familiarity with cloud data storage and processing tools (e.g., Azure Data Lake, AWS S3).

Educational Qualification:

• Education: Bachelors degree in Statistics, Mathematics, Computer Science, or a related field

Experience: 3+ years of experience in data science or analytical role

Experience:

As a skilled Data Scientist, you will leverage your analytical skills to uncover insights from complex datasets, build predictive models, and inform data-driven decisions across the organization. You'll work closely with cross-functional teams, including business, engineering, and product, to apply advanced statistical methods, machine learning, and domain knowledge to solve real-world problems.

What's in it for you?

Be an equal parent

Maternity support, including paid leave ahead of statutory guidelines, and flexible work options on return

Paternity support, including paid leave

New mothers can bring a caregiver and children under a year old, on work travel

Adoption support; gender neutral and based on the primary caregiver, with paid leave options

No place for discrimination at Godrej

Gender-neutral anti-harassment policy

Same sex partner benefits at par with married spouses

Gender transition support

We are selfish about your wellness

Comprehensive health insurance plans, as well as accident coverage for you and your family, with top-up options

Uncapped sick leave

Mental wellness and self-care programmes, resources and counselling

Celebrating wins, the Godrej Way

Structured recognition platforms for individual, team and business-level achievements

Performance-based earning opportunities

An inclusive Godrej

Before you go, there is something important we want to highlight. There is no place for discrimination at Godrej. Diversity is the philosophy of who we are as a company. And has been for over a century. It's not just in our DNA and nice to do. Being more diverse - especially having our team members reflect the diversity of our businesses and communities - helps us innovate better and grow faster. We hope this resonates with you.

We take pride in being an equal opportunities employer. We recognise merit and encourage diversity. We do not tolerate any form of discrimination on the basis of nationality, race, colour, religion, caste, gender identity or expression, sexual orientation, disability, age, or marital status and ensure equal opportunities for all our team members.

If this sounds like a role for you, apply now!

We look forward to meeting you.