Find Your Dream Data Scientist Job in India

Position: Permanent

Role: Data Scientist

Experience: 5-8 Years Location: Bangalore

Shift: General Shift Work Mode: Hybrid

Key Skills: - Machine Learning, Gen AI,LLM,RAG

About the Company

Movate, formerly called CSS CORP, is a new age services company that harnesses the power of digital technologies to reimagine customer engagements. We enable businesses to anticipate and face disruptions effectively through our digital, technology and support services. We are a global customer experience and technology consulting services provider and a digital transformation partner of choice for its clients, which includes the world's top innovators across industries, from mid-market players to large enterprises. We have a diverse team of over 11,500 customer-centric thinkers, collaborators, and co creators across 20 global locations. About the Role We are looking for an experienced Senior Data Scientist specializing in Large Language Models (LLM) and Transformer architecture. In this role, you will be part of a growing team focused on building Generative AI applications for document summarization, classification, and question-answering using both structured and unstructured data. The role involves research, experimentation, and implementation of state-of-the-art AI and LLM techniques to build innovative solutions that enhance customer and associate experiences

Roles & Responsibilities

• Build solutions for document summarization, classification, and question-answering systems.

• Design and implement AI safety mechanisms and guardrails within API layers in collaboration with research teams.

• Work closely with cross-functional teams to understand data requirements and deliver AI-driven solutions.

• Conduct research, experimentation, and implementation of advanced machine learning and Generative AI techniques.

• Implement best practices for AI model development, deployment, and evaluation.

• Stay updated with the latest developments in Data Science, Machine Learning, and Generative AI.

Position: Permanent

Role: Data Scientist

Experience: 5-8 Years Location: Bangalore

Shift: General Shift Work Mode: Hybrid

Key Skills: - Machine Learning, Gen AI,LLM,RAG

About the Company

Movate, formerly called CSS CORP, is a new age services company that harnesses the power of digital technologies to reimagine customer engagements. We enable businesses to anticipate and face disruptions effectively through our digital, technology and support services. We are a global customer experience and technology consulting services provider and a digital transformation partner of choice for its clients, which includes the world's top innovators across industries, from mid-market players to large enterprises. We have a diverse team of over 11,500 customer-centric thinkers, collaborators, and co creators across 20 global locations. About the Role We are looking for an experienced Senior Data Scientist specializing in Large Language Models (LLM) and Transformer architecture. In this role, you will be part of a growing team focused on building Generative AI applications for document summarization, classification, and question-answering using both structured and unstructured data. The role involves research, experimentation, and implementation of state-of-the-art AI and LLM techniques to build innovative solutions that enhance customer and associate experiences

Roles & Responsibilities

• Build solutions for document summarization, classification, and question-answering systems.

• Design and implement AI safety mechanisms and guardrails within API layers in collaboration with research teams.

• Work closely with cross-functional teams to understand data requirements and deliver AI-driven solutions.

• Conduct research, experimentation, and implementation of advanced machine learning and Generative AI techniques.

• Implement best practices for AI model development, deployment, and evaluation.

• Stay updated with the latest developments in Data Science, Machine Learning, and Generative AI.

About the Role

We are looking for a Data Scientist with 2-6 years of experience to work on advanced AI and Computer Vision solutions in Bengaluru. The ideal candidate should have strong hands-on experience in deep learning, model deployment, and scalable ML workflows, with expertise in image/video-based AI applications.

This role is best suited for candidates who enjoy building production-grade AI models, solving real-world business problems using Computer Vision, and working in fast-paced engineering environments.

Work from Office - Minimum 4 Days/Week

Immediate Joiners or Candidates with Notice Period up to 15 Days Preferred

Key Responsibilities

• Build and deploy deep learning and computer vision models in production
• Work on image classification, object detection, segmentation, and video analytics use cases
• Develop scalable ML workflows using Databricks, MLflow, and Delta Lake
• Handle large-scale image/video datasets including preprocessing and augmentation
• Work closely with engineering and product teams for end-to-end AI solution deployment
• Contribute to MLOps workflows including CI/CD, model versioning, and monitoring
• Optimize model performance, scalability, and inference pipelines

Required Skills

• Strong Python programming skills
• Hands-on experience with TensorFlow, PyTorch, or Keras
• Strong understanding of Computer Vision and Deep Learning concepts
• Experience deploying ML/DL models into production environments
• Experience with Databricks, MLflow, or Delta Lake
• Knowledge of CNNs, Transfer Learning, and Vision Transformer (ViT) models
• Familiarity with Azure cloud ecosystem
• Experience working in Linux/Unix environments
• Good communication and problem-solving skills

Good to Have

• Exposure to NLP techniques
• Experience with MLOps and CI/CD pipelines
• Experience mentoring junior team members

About the Role

We are looking for a Data Scientist with 2-6 years of experience to work on advanced AI and Computer Vision solutions in Bengaluru. The ideal candidate should have strong hands-on experience in deep learning, model deployment, and scalable ML workflows, with expertise in image/video-based AI applications.

This role is best suited for candidates who enjoy building production-grade AI models, solving real-world business problems using Computer Vision, and working in fast-paced engineering environments.

Work from Office - Minimum 4 Days/Week

Immediate Joiners or Candidates with Notice Period up to 15 Days Preferred

Key Responsibilities

• Build and deploy deep learning and computer vision models in production
• Work on image classification, object detection, segmentation, and video analytics use cases
• Develop scalable ML workflows using Databricks, MLflow, and Delta Lake
• Handle large-scale image/video datasets including preprocessing and augmentation
• Work closely with engineering and product teams for end-to-end AI solution deployment
• Contribute to MLOps workflows including CI/CD, model versioning, and monitoring
• Optimize model performance, scalability, and inference pipelines

Required Skills

• Strong Python programming skills
• Hands-on experience with TensorFlow, PyTorch, or Keras
• Strong understanding of Computer Vision and Deep Learning concepts
• Experience deploying ML/DL models into production environments
• Experience with Databricks, MLflow, or Delta Lake
• Knowledge of CNNs, Transfer Learning, and Vision Transformer (ViT) models
• Familiarity with Azure cloud ecosystem
• Experience working in Linux/Unix environments
• Good communication and problem-solving skills

Good to Have

• Exposure to NLP techniques
• Experience with MLOps and CI/CD pipelines
• Experience mentoring junior team members

Job Summary

The Senior Marketing Data Scientist will develop and deploy marketing-focused analytical and machine learning solutions across People Inc. entertainment brands. This role sits at the intersection of customer analytics, experimentation, and growth strategy, partnering closely with Marketing, Product, and Editorial teams.

The ideal candidate has deep experience applying statistical modeling and machine learning to marketing problems, including customer segmentation, acquisition, engagement, retention, and customer LifeTime Value. You will own models and analyses that inform personalization, automated marketing, attribution, experimentation, and lifecycle optimization, translating complex customer behavior into actionable insights that drive measurable business outcomes.

Unlike traditional data science roles focused purely on modeling, this position requires a strong ability to:

• Support translating product questions into data-driven insights
• Help define and track user engagement, retention, and churn metrics
• Collaborate with product, engineering, and marketing stakeholders

Primary responsibilities:

• Product Analytics, Experimentation & Insights
• Analyze user behavior to identify engagement patterns, retention trends, and churn signals
• Support the design and evaluation of A/B tests to measure product and campaign impact
• Assist in translating product questions into structured analyses and actionable insight.
• Data Modeling, Segmentation & Personalization
• Build and maintain user-level datasets (engagement, activity, segmentation features)
• Support development of user segmentation frameworks (e.g., cohorts, archetypes)
• Build and maintain LTV, churn, and propensity models to support acquisition, retention, and re-engagement strategies
• Contribute to analytical approaches such as survival modeling, and forecasting
• Cross-Functional Collaboration & Communication
• Work closely with data science and cross-functional teams to support data-informed decisions
• Communicate findings clearly through analyses, dashboards, and presentations
• Proactively explore data to surface insights and opportunities

Required Mandatory Skills:

• Master's or advanced degree in Data Science, Economics, Business Analytics, Mathematics, Statistics, or similar quantitative field, or equivalent experience
• 3+ years of experience applying data science to consumer-facing and marketing-focused problems.
• Strong proficiency in Python and SQL for data analysis and model development.
• Hands-on experience of building machine learning solutions using Gradient Boosting libraries (e.g., XGBoost, LightGBM, or CatBoost) or deep learning frameworks such as PyTorch and Tensorflow
• Demonstrated experience designing and analyzing online experiments (A/B testing)
• Ability to communicate complex analyses clearly to non-technical marketing and business stakeholders.

Good to Have:

• Experience working with event-level data e.g. clickstream, mobile/web analytics
• Familiarity with product and funnel analytics on web and mobile platforms
• Solid foundation in causal inference, survival analysis, time series analysis, and Bayesian methods, especially as applied to marketing and customer behavior.
• Experience working with large-scale analytics platforms (e.g., BigQuery)
• Experience with forecasting models and advanced lifecycle or retention modeling
• Track record of leading end-to-end data science projects from problem framing through deployment and impact measurement

Designation: Senior Data Scientist, 1

Working Hours: 1:00 PM to 10:00 PM IST

Work Location: EcoWorld, Bengaluru

Job Summary

The Senior Marketing Data Scientist will develop and deploy marketing-focused analytical and machine learning solutions across People Inc. entertainment brands. This role sits at the intersection of customer analytics, experimentation, and growth strategy, partnering closely with Marketing, Product, and Editorial teams.

The ideal candidate has deep experience applying statistical modeling and machine learning to marketing problems, including customer segmentation, acquisition, engagement, retention, and customer LifeTime Value. You will own models and analyses that inform personalization, automated marketing, attribution, experimentation, and lifecycle optimization, translating complex customer behavior into actionable insights that drive measurable business outcomes.

Unlike traditional data science roles focused purely on modeling, this position requires a strong ability to:

• Support translating product questions into data-driven insights
• Help define and track user engagement, retention, and churn metrics
• Collaborate with product, engineering, and marketing stakeholders

Primary responsibilities:

• Product Analytics, Experimentation & Insights
• Analyze user behavior to identify engagement patterns, retention trends, and churn signals
• Support the design and evaluation of A/B tests to measure product and campaign impact
• Assist in translating product questions into structured analyses and actionable insight.
• Data Modeling, Segmentation & Personalization
• Build and maintain user-level datasets (engagement, activity, segmentation features)
• Support development of user segmentation frameworks (e.g., cohorts, archetypes)
• Build and maintain LTV, churn, and propensity models to support acquisition, retention, and re-engagement strategies
• Contribute to analytical approaches such as survival modeling, and forecasting
• Cross-Functional Collaboration & Communication
• Work closely with data science and cross-functional teams to support data-informed decisions
• Communicate findings clearly through analyses, dashboards, and presentations
• Proactively explore data to surface insights and opportunities

Required Mandatory Skills:

• Master's or advanced degree in Data Science, Economics, Business Analytics, Mathematics, Statistics, or similar quantitative field, or equivalent experience
• 3+ years of experience applying data science to consumer-facing and marketing-focused problems.
• Strong proficiency in Python and SQL for data analysis and model development.
• Hands-on experience of building machine learning solutions using Gradient Boosting libraries (e.g., XGBoost, LightGBM, or CatBoost) or deep learning frameworks such as PyTorch and Tensorflow
• Demonstrated experience designing and analyzing online experiments (A/B testing)
• Ability to communicate complex analyses clearly to non-technical marketing and business stakeholders.

Good to Have:

• Experience working with event-level data e.g. clickstream, mobile/web analytics
• Familiarity with product and funnel analytics on web and mobile platforms
• Solid foundation in causal inference, survival analysis, time series analysis, and Bayesian methods, especially as applied to marketing and customer behavior.
• Experience working with large-scale analytics platforms (e.g., BigQuery)
• Experience with forecasting models and advanced lifecycle or retention modeling
• Track record of leading end-to-end data science projects from problem framing through deployment and impact measurement

Designation: Senior Data Scientist, 1

Working Hours: 1:00 PM to 10:00 PM IST

Work Location: EcoWorld, Bengaluru

We have 3 urgent roles for AI Data Scientist

Experience- 6-8 years

Must have- Strong coding experience in Python, data Science, LLM, NLP

Job Overview

We are seeking a skilled Data Scientist to design, develop, and implement generative AI models and solutions. The role

involves working with large datasets, building scalable AI systems, and collaborating with cross-functional teams.

Key Skills / Job Specifications.

Must Have Skills

• ML, Deep Learning, NLP and LLMs (BERT, GPT)

• LangChain, OpenAI libraries, Vector DBs (Chroma, FAISS)

• GCP Vertex AI / Azure AI Foundry / AWS SageMaker

• Python / Java / C++ with TensorFlow or PyTorch

• Cloud (Azure/GCP) with BigQuery / Synapse

Good to Have Skills

• Azure Cognitive Search / AWS Kendra

• MLOps / LLMOps

• Strong communication skills

• Ability to work independently

Key Responsibilities

• Support development of generative AI models

• Optimize algorithms for performance and scalability

• Perform data preprocessing and feature engineering

• Evaluate and validate AI models

• Collaborate with cross-functional teams

• Document models and results

• Ensure ethical AI practices

Contract to hire

Communication- Good

Location- Hyderabad- 5 days working

Work timing- 11 am - 8 pm

Interview process

Round 1- Zeko test

Round 2- Face to face interview at client site

Senior Data Scientist Client Analytics

Overview

About Business Unit:

Powerful predictors of the future - our Analytics team seamlessly blends data science and business intelligence to provide unparalleled foresight for our platform offerings. They turn insights into actionable results for our clients by collaborating with senior team members and staying ahead of market trends, powered by our data assets. By using new-age analytic tools and emerging technologies, the team cultivates a dynamic learning environment for curious minds to thrive.

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

Responsibilities

• Develop analytical frameworks to answer questions/solve business problems.
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Hypothesis testing and reporting statistically significant results
• Create and present data-driven insights to client/stakeholders, proficient with storytelling from the generated insights
• Project Management skills with the ability to work independently with minimal support
• Mentor/hand-hold junior team members on technical/problem-solving aspects
• Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions.
• Structure hypothesis, build thoughtful analyses, develop underlying data models, and bring clarity to identified problems.
• Create visually compelling dashboards and reports to effectively communicate data-driven insights
• Effective communication skills to convey complex data insights, ability to collaborate with cross-functional teams, high levels of accountability in maintaining data integrity.

Qualifications

• Bachelor's degree in a quantitative discipline (e.g., Statistics, Economics, Mathematics, Marketing Analytics)
• 5-8 years of experience in the analytics field; marketing analytics experience preferred
• Proficiency in Python, SQL and Power BI required.
• Hands-on experience on Data Science projects, developing Predictive / ML models is highly preferred.
• Experience in Adobe Analytics and Databricks environment would be a plus
• Superior analytical and problem solving skills
• Excellent verbal and written communication skills

Desirable Qualifications:

• Advanced degree (Master's/PhD) in Statistics, Economics or other quantitative discipline
• Working knowledge of cloud enviornments

Senior Data Scientist Client Analytics

Overview

About Business Unit:

Powerful predictors of the future - our Analytics team seamlessly blends data science and business intelligence to provide unparalleled foresight for our platform offerings. They turn insights into actionable results for our clients by collaborating with senior team members and staying ahead of market trends, powered by our data assets. By using new-age analytic tools and emerging technologies, the team cultivates a dynamic learning environment for curious minds to thrive.

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

Responsibilities

• Develop analytical frameworks to answer questions/solve business problems.
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Hypothesis testing and reporting statistically significant results
• Create and present data-driven insights to client/stakeholders, proficient with storytelling from the generated insights
• Project Management skills with the ability to work independently with minimal support
• Mentor/hand-hold junior team members on technical/problem-solving aspects
• Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions.
• Structure hypothesis, build thoughtful analyses, develop underlying data models, and bring clarity to identified problems.
• Create visually compelling dashboards and reports to effectively communicate data-driven insights
• Effective communication skills to convey complex data insights, ability to collaborate with cross-functional teams, high levels of accountability in maintaining data integrity.

Qualifications

• Bachelor's degree in a quantitative discipline (e.g., Statistics, Economics, Mathematics, Marketing Analytics)
• 5-8 years of experience in the analytics field; marketing analytics experience preferred
• Proficiency in Python, SQL and Power BI required.
• Hands-on experience on Data Science projects, developing Predictive / ML models is highly preferred.
• Experience in Adobe Analytics and Databricks environment would be a plus
• Superior analytical and problem solving skills
• Excellent verbal and written communication skills

Desirable Qualifications:

• Advanced degree (Master's/PhD) in Statistics, Economics or other quantitative discipline
• Working knowledge of cloud enviornments

Here at Kline our amazing Innovation team has grown rapidly from a small three person set up to a thriving, twelve strong multi-functional team in the space of just three years. We are now looking for top talent to take our capabilities in developing digitized, data-oriented products to the next level. So, if you are an experienced Data Scientist, have a curious mindset and are interested in working in the Personal Care, Energy and Chemicals market research space then please reach out.

What does life in Kline look like? We offer a rewarding and inclusive culture where each colleague can grow, thrive, express ideas and support our mission for innovating Kline and Company's data solutions. You will be the critical member in the successful design and delivery of our next-gen cloud-based market research products.

Kline is aiming to establish a highly effective Data Science Centre of Excellence, based in Hyderabad, who will spearhead the next phase of growth. This team will be responsible for the enhancement of existing solutions and develop new, world-class products. We are looking for an experienced Data Scientist to lead this team, growing the skills of the junior members as well as actively develop new and improved data science technique and processes that effectively deliver value to our clients.

Here is a little more about the role. The role will be varied, solving new problems from:

• Designing new data science and analytical solutions to real-world business challenges
• Wrangling and cleaning big datasets ready for use in data science code
• Coding effective algorithm scripts that analyse and organise unstructured data
• Working on a combination of client and internal stakeholder use cases
• Developing AI solutions which increase efficiency and offer enhanced user capabilities

Now here is the official job description: Kline and Company is currently seeking a Lead Data Scientist to lead its Analytics Centre of Excellence, part of the wider Digital innovation team. The successful candidate will profoundly collaborate across the organization, with technical experts in the Digital Innovation team, our key Technology partners and domain subject matter experts globally.

Please apply if you have a degree in Computing, Mathematics or Science based subject, alternatively experienced professionals with proven success in the realm of Data Science and Analytics should also apply.

Day-to-Day activities and goals:

• Responsibility for Kline's QI Analytics service desk, delivering analytics and data science tasks for real-life business scenarios
• Building predictive models which size and forecast market growth across different segments
• Developing social media, web traffic and consumer search workflows which track ingredient, competitor and consumer trends
• Working across big datasets, effectively implementing fit for purpose data cleaning and wrangling processes
• Designing automated architecture, connecting data pipelines across multiple software and platforms, including web scraping activities
• Leveraging AI, ranging from chat functionality which extracts insight from big datasets or attributing metadata based on product information
• Combining multiple data sources to produce greater detail and segmentation
• Utilising numerous data science techniques, such as NLP, clustering, decision tree algorithms, anomaly analytics and Bayesian recursion to name but a few
• Input into the UX design of the dashboard consumption layer
• Teach, grow and oversee the two junior data scientists in the team
• Incorporate best practice into all Kline's solutions and constantly review and implement cutting edge techniques from the world of data science
• Design, build and review project goals at all stages of the product development lifecycle

Essential Skills:

• 5-10 years in data science, or similar role
• Advanced knowledge of analytical and data science techniques
• Data cleaning, wrangling and mapping
• Extensive coding experience, Python essential
• SQL Server and database management
• Databricks or similar code management platform expertise
• Azure or similar full stack experience
• Excel formula and functionality
• A logical and problem solving mindset
• Excellent English verbal and written communication skills

Additional Skills:

Experience with any of the following is a plus:

• AI and Machine Learning
• Experience with Power BI
• Market research or data management industry experience a bonus
• SSIS, SSAS, Multidimensional Cubes, DAX or MDX

Key Responsibilities:

● Teach Applied AI/ML: Design and deliver practical, project-based courses in AI/ML

(Python for ML, Statistics, ML Algorithms, Deep Learning, NLP, CV, ML Ops, GenAI).

● Develop Industry-Relevant Curriculum: Help design and update the AI/ML curriculum

to reflect current industry tools, techniques, and best practices, incorporating your

professional experience and case studies.

● Mentor Student Projects: Guide students through hands-on AI/ML projects, providing

technical direction, code reviews, and feedback based on industry standards.

● Guide & Mentor Students: Advise students on developing practical skills,

understanding career paths in AI/ML, and preparing for internships and job placements.

● Stay Current: Bring the latest AI/ML research, tools, and industry trends into the

classroom.

● Collaborate: Work closely with other expert faculty and staff to create a unified and

effective learning experience.

● Assess Practical Skills: Design and evaluate assignments, projects, and assessments

focused on real-world applications.

Qualifications and Requirements:

● Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science,

AI/ML, or related field. (PhD is valued but not mandatory.)

● 5+ years of direct, hands-on professional experience in the tech industry as an

AI/ML Eng

About Us

We are building transformer models focused on multilingual translation and custom transformer architectures. Our team works on large-scale NLP and transformer-based models with a strong focus on research, experimentation, model optimization, and production-grade AI systems.

We are looking for a highly technical Data Science Lead who can drive end-to-end model development, mentor engineers, and lead the evolution of our AI stack.

This is a core engineering and research role not a prompt engineering or API integration role.

Role Overview

As a Data Science Lead, you will lead the design, training, fine-tuning, evaluation, and optimization of transformer-based NLP systems and LLMs. You will work closely with engineering and research teams to build scalable AI models from the ground up and establish technical direction for the organization.

You should be comfortable working deeply with model internals, training pipelines, datasets, tokenization strategies, and distributed GPU-based training environments.

Key Responsibilities

• Lead the architecture and development of transformer-based AI systems
• Drive technical direction for NLP, LLM, and multilingual AI initiatives
• Mentor and guide junior ML engineers and researchers
• Train and fine-tune transformer models on large-scale custom datasets
• Work

Role : ITQ Data Scientist II

Skills : Gen AI/ AI Agents, AI/ML, Computer vision, LLM

Experience : 4 to 6 Years

Location : Mumbai (open for relocation)

Work mode :Hybrid

Key Responsibilities

Technical Excellence (70%)

• Lead full ML lifecycle: problem framing → data prep → modeling → deployment
• Build predictive models (regression, classification, clustering, time-series)
• Apply statistical and advanced analytics to structured & unstructured data
• Develop scalable ML pipelines and deploy models to production
• Design and implement AI agents using LLMs, RAG, memory, tools, and orchestration frameworks
• Evaluate and optimize AI systems using custom metrics and feedback loops
• Stay current with emerging ML and GenAI advancements

Business Partnership (15%)

• Translate business needs into analytical solutions
• Communicate insights clearly to technical and non-technical stakeholders
• Deliver projects on time with defined success criteria

Innovation & Continuous Improvement (10%)

• Improve processes and methodologies
• Develop new analytical capabilities
• Continuously upskill in ML and AI best practices

Administration (5%)

• Complete required trainings and organizational responsibilities

Interested candidates can share your CV to samban

YOU MUST APPLY HERE TO BE CONSIDERED: Application link:

Official JD + About us:

‍ YOUR ROLE

We're looking for a Senior Data Scientist who can build and optimize our AI models that power our voice AI platform. You'll be the brain behind our technology, ensuring our AI can handle complex conversations while maintaining high accuracy and natural-sounding interactions.

Your work will involve:

• Own end-to-end model development – from requirement gathering and algorithm design to implementation and deployment, you'll shepherd ML features through their complete lifecycle.
• Build for conversational intelligence – develop models that can handle hundreds of thousands of conversations per day with high accuracy and natural language understanding.
• Innovate through research – stay current with cutting-edge NLP and speech technologies, read research papers, and implement state-of-the-art solutions that give us a competitive edge.
• Design ML pipelines – create robust, scalable machine learning infrastructure that can continuously improve from our growing conversation data.
• Optimize for performance – identify and resolve model bottlenecks to ensure our voice AI delivers natural, real-time conversations without comprehension issues.


Arrowhead



3 days ago