Find Your Dream Data Science Job

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Full stack data science developer

Responsibilities

  • Develop, implement, and maintain data-intensive applications using Python and related libraries.
  • Design, build and deploy enterprise-grade applications.
  • Design and build RESTful APIs for data ingestion, transformation, and model serving.
  • Create and deploy machine learning models (e.g., regression, classification, clustering) into production environments.
  • Develop and maintain data pipelines for data extraction, transformation, and loading (ETL).
  • Collaborate with data scientists and engineers to translate research prototypes into production-ready systems.
  • Write clean, maintainable, and well-documented code.
  • Participate in code reviews and contribute to the overall code quality of the project.
  • Troubleshoot and debug complex technical issues.
  • Stay up to date with the latest advancements in data science, machine learning, and related technologies.

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Allianz Services

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12 days ago

Staff Software Engineer, Data Science

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn's Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetisation efforts. With over 800 million members around the world, a focus on great user experience, and a mix of B2B and B2C programs, LinkedIn offers countless ways for an ambitious data engineer to have an impact and transform your career. We are now looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as product, marketing, sales, engineering, and operations to develop infrastructure and deliver tools or data structures that enable data-driven decision-making. Successful candidates will exhibit technical acumen and business savviness with a passion for making an impact by enabling both producers and consumers of data insight to work smarter. Responsibilities: - Work with a team of high-performing data science professionals, and cross-functional teams to identify business opportunities and build scalable data solutions. - Build data expertise, act like an owner for the company and manage complex data systems for a product or a group of products. - Perform all of the necessary data transformations to serve products that empower data-driven decision making. - Establish efficient design and programming patterns for engineers as well as for non-technical partners. - Design, implement, integrate and document performant systems or components for data flows or applications that power analysis at a massive scale. - Ensure best practices and standards in our data ecosystem are shared across teams. - Understand the analytical objectives to make logical recommendations and drive informed actions. - Engage with internal data platform teams to prototype and validate tools developed in-house to derive insight from very large datasets or automate complex algorithms. - Contribute to engineering innovations that fuel LinkedIn's vision and mission. Basic Qualifications: - Bachelor's Degree in a quantitative discipline: Computer Science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc - 8+ years of relevant industry or relevant academia experience working with large amounts of data - Experience with SQL/Relational databases - Background in at least one programming languages (e.g., R, Python, Java, Scala, PHP, JavaScript) Preferred Qualifications: - BS and 10+ years of relevant work experience, MS and 9+ years of relevant work experience, or Ph.D. - Experience in developing data pipelines using Spark and Hive. - Experience with data modeling, ETL (Extraction, Transformation & Load) concepts, and patterns for efficient data governance. - Experience in either the front-end or back-end development of data-powered applications. - Deep understanding of technical and functional designs for relational and MPP Databases, - Reporting and Data Mining systems. - Experience working in the product, sales, or marketing analytics domains. - Experience in data visualisation and dashboard design including tools such as Tableau, R visualisation packages, D3, and other JavaScript libraries, etc. - Published work in academic conferences or industry circles Suggested Skills : Data Pipeline Data Engineering Data Manipulation India Disability Policy LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants:
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LinkedIn

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12 days ago

People Analytics - Data Science

Your potential, unleashed.

India's impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realise your potential amongst cutting edge leaders, and organisations shaping the future of the region, and indeed, the world beyond.

At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters.

The team

Today's business challenges present a new wave of HR, talent and organization priorities. Deloitte's Human Capital services leverage research, analytics, and industry insights to help design and execute critical programs from business driven HR to innovative talent, leadership, and change programs. Learn more about Human Capital Practice

Your work profile

As a Senior Consultant in our People Analytics Team you'll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations: -

  • Act as a People Analytics ambassador for our clients, making them aware of its possibilities, explaining the benefits, and articulating how we can help them create a culture of insights-driven people processes and programs
  • Drive the People Analytics strategy for Deloitte, design new products and offerings around the HR function and translating these into a concrete strategy and road-map for the future
  • Partner with the Client HR and leadership team and master translating business needs into data-driven solutions
  • Collect and compile people data, define appropriate metrics, utilise storytelling to create report design and delivery, and make recommendations based on trends or patterns
  • Identify opportunities to drive greater organizational impact through analytics
  • Build strong relationships with clients and foster business growth, Co-create solutions and assist clients in developing action plans, Manage end to end projects
  • Refine complex analytical results into presentable, digestible, and actionable recommendations and insights for the clients
  • Drive development of assets and methodologies, development of point-of-view, research or white papers, support development of marketing collateral, public speaking and publication in industry periodicals.
  • Collaborate with multiple stakeholders across various teams within Deloitte to help create viable products as well as client stakeholders to help drive product usage

Desired qualifications and Skills

  • MBA OR Masters in I/O Psychology/ Behavior Science /Analytics field
  • 4+ years of experience in core data analysis and visualization role (internal / external consulting experience or functional knowledge of HR domain preferred)
  • Demonstrate strong business acumen with the ability to design data-driven solutions, apply structured problem-solving approaches, and translate complex business challenges into actionable insights
  • Fluency in end-to-end data handling and pipeline building for dashboards
  • Working knowledge of analysis techniques and data engineering
  • Expertise in data handling, transformation, pipelines and visual data analysis
  • Expertise in design and development of intuitive dashboards using data visualization platforms like Power BI, Tableau is required
  • Data interpretation with working knowledge of analytic models and digital tools
  • Knowledge of people management-related areas (workforce transformation, workforce and talent strategy, organization culture, change strategy, stakeholder assessment, change impact analysis, organization design, and business readiness)
  • Working experience in Python programming, especially for data analysis & manipulation (including Pandas) is a plus
  • Superb analytical skills; hands-on experience manipulating and deriving insight from large datasets
  • Expert PPT and Excel skills
  • Excellent verbal, written, interpersonal communication abilities (English language) including skills in explaining technical topics to novices and collaborating with Subject Matter Experts and other stakeholders
  • Ability to develop strategic recommendations

Location and way of working

  • Base location: Mumbai, Gurgaon, Bangalore
  • This profile involves occasional travelling to client locations
  • Hybrid is our default way of working. Each domain has customised the hybrid approach to their unique needs.

Your role as a Senior Consultant

We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society.

In addition to living our purpose, Senior Executive across our organization must strive to be:

  • Inspiring - Leading with integrity to build inclusion and motivation
  • Committed to creating purpose - Creating a sense of vision and purpose
  • Agile - Achieving high-quality results through collaboration and Team unity
  • Skilled at building diverse capability - Developing diverse capabilities for the future
  • Persuasive / Influencing - Persuading and influencing stakeholders
  • Collaborating - Partnering to build new solutions
  • Delivering value - Showing commercial acumen
  • Committed to expanding business - Leveraging new business opportunities
  • Analytical Acumen - Leveraging data to recommend impactful approach and solutions through the power of analysis and visualization
  • Effective communication - Must be well abled to have well-structured and well-articulated conversations to achieve win-win possibilities
  • Engagement Management / Delivery Excellence - Effectively managing engagement(s) to ensure timely and proactive execution as well as course correction for the success of engagement(s)
  • Managing change - Responding to changing environment with resilience
  • Managing Quality & Risk - Delivering high quality results and mitigating risks with utmost integrity and precision
  • Strategic Thinking & Problem Solving - Applying strategic mindset to solve business issues and complex problems
  • Tech Savvy - Leveraging ethical technology practices to deliver high impact for clients and for Deloitte
  • Empathetic leadership and inclusivity - creating a safe and thriving environment where everyone's valued for who they are, use empathy to understand others to adapt our behaviours and attitudes to become more inclusive.

How you'll grow

Connect for impact

Our exceptional team of professionals across the globe are solving some of the world's most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report.

Empower to lead

You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership.

Inclusion for all

At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters.

Drive your career

At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte.

Everyone's welcome entrust your happiness to us

Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here's a glimpse of things that are in store for you.

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Deloitte

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12 days ago

Data Science Intern - Apply by Solving a Real-World Data Challenge

Data Science Internship at Lunor

No CV. No cover letter. Just pure skill.

At Lunor, we don't hire based on resumes - we hire based on results.

Our next Data Science Intern in India will be selected through a real AI challenge - not a form.

This is your chance to prove your talent, win cash prizes, and join a global AI platform backed by $300K+ in rewards and 40+ cutting-edge challenges.

Apply by Solving a Real-World AI Challenge

We're not just offering an internship - we're offering a launchpad.

To apply, simply participate in our latest Lunor Quest 'PairWise Alpha - Round 2' and rank in the Top 3 to get selected.

Rewards (Yes, you keep them!)

1st Place - $2,200 ( 1,88,107)

2nd Place - $1,600 ( 1,36,805)

3rd Place - $1,200 ( 1,02,603)

Yes, you keep 100% of the prize. No catch.

Internship Perks

Guaranteed Internship Offer if you finish in the Top 3

Build a public project portfolio with real-world impact

Work on actual AI systems - not just toy problems

Collaborate with a global network of 10,000+ AI builders

Earn a verified certificate and leaderboard recognition

Receive a competitive stipend during your internship

High potential for full-time roles after the internship

Even if You Don't Win

You'll still have:

- Tackled a real data science problem

- Improved your portfolio

- Gained exposure & recognition

- Become part of the Lunor network

Which sounds a lot like winning

How to Apply

  • Join the Lunor Discord:
  • Enter the Challenge
  • Submit Your Solution
  • Place in the Top 3 to Get the Internship Offer

Our team will reach out directly if you're selected

About Lunor

Lunor is decentralizing the future of AI.

We crowdsource real AI systems by uniting talent worldwide - from students and freelancers to pros and researchers.

AI should be built by the people. For the people.

If you're in India, passionate about AI or data science, and ready to prove your skills on a global stage - this is for you.

Apply now by joining the challenge:

Know someone in India who should apply? Tag them!

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Lunor AI

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12 days ago

Technical Lead Data Science FINJO I756

Job Titles: Technical Lead Data Science

Location: Airoli, Navi Mumbai

Skillset Requirements: Technical Lead

510 years of relevant experience in data science

Minimum 5 years of experience in Python programming

At least 3 years of experience in machine learning and NLP

Minimum 2 years of experience with LLMs and GenAI

At least 2 years of experience with any database

1+ years of experience deploying ML models/Python applications on Azure or AWS

Familiarity with LLMOps is a plus

Role and Responsibilities:

Lead development, deployment, and optimization of ML, NLP models, and LLM/GenAI solutions

Develop and maintain Python-based ML pipelines and manage associated databases

Deploy AI models on Azure/AWS, ensuring performance and scalability

Mentor team members and stay updated on advancements in ML, NLP, and GenAI

Implement LLMOps best practices for efficient model lifecycle management

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FinJo

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12 days ago

Data Science Manager

MathCo is a leading global AI and analytics firm that partners with Fortune 500 and equivalent organizations. We offer a distinct consulting approach that overcomes the limitations of traditional analytics services by providing speed, reusability, and customization. At MathCo, we aim to enhance our clients' analytics capabilities and empower them to become self-sufficient through our proprietary AI/ML master engine, Co.dx, along with the utilization of IP-led assets, skilled talent, and efficient processes, ultimately leading to accelerated and human-centric solutions.

Over the last six and a half years, we have worked with over 60+ Fortune 10/100/500 or equivalent companies across 10+ industries, such as Healthcare, Retail, CPG, and Manufacturing, while establishing our global presence across 15+ cities with our headquarters in Bangalore, Chicago, Toronto, and Amsterdam. In this journey, we have been consistently strengthening in size year after year, with Data Scientists & Engineers, Consultants, and Visualization experts joining our cohort.

Rightfully, we have been Great Place to Work Certified in India two years in a row and Accredited for Inclusive Practices by GPTW, India. We have also been recognized among the Top 10 companies in the 50 Best Firms for Data Scientists to Work by AIM 2023, emerged as a Leader in AIM's Penetration and Maturity (PeMa) Quadrant 2023 for Data Science Service Providers, included in Forrester's Customer Analytics Service Provider Landscape, Q1 2023, recognized among the Best Firms for Women in Tech by Analytics India Magazine, 2023, ranked on the Inc. 5000 List of fastest-growing private companies in America 2022, and included in the Gartner Magic Quadrant for Data and Analytics Service Providers Report 2022, among others.

WHAT'S IN IT FOR YOU

  • Growth and Learning: Unlock your potential in an atmosphere of growth, diverse job streams, and comprehensive analytics training to excel in solving client challenges.
  • Flexible and Inclusive Culture: Enjoy work-life balance with a flexible & hybrid work culture, while being part of an inclusive and diverse environment that values your well-being.
  • Recognition and Impact: Join an award-winning team that celebrates excellence and contributes to meaningful solutions that shape industries and make a difference.

Responsibilities

As Manager Data Scientist you will be responsible for a wide range of engagements listed below:

  • Develop a comprehensive project plan that aligns with the scope and objectives of the project.
  • Develop appropriate solution design that will help client achieve their goals.
  • Assign delivery team members to different activities suited to their individual skills.
  • Lead the execution of project activities according to the project plan. Monitor the project, track milestones, and adhere to agreed-upon timelines and scope.
  • Accountable for the delivery quality of the project in question.
  • Comply with all the critical dimensions of the delivery scorecard, report as-is facts on those dimensions, and develop and execute action plans to improve delivery scores.
  • Lead internal scrum meetings and stand-ups with the clients and Weekly Business Reviews with the clients.
  • Collaborate with the Engagement Manager, Account Delivery Manager, and client stakeholders to gather business requirements for the project.
  • Ensure compliance with best practices and established processes for quality assurance-for example, using quality assurance checklists, coding best practices, peer reviews, and documentation.
  • Provide both business and technical guidance to the delivery team.
  • Coach individuals in the team and build a high-performance workplace.
  • Establish an environment of mutual trust and respect and encourage the team to experiment with new delivery ideas.
  • Review the team's deliverables before sharing them with clients, including codes, presentations, worksheets, emails, etc.

Required Skills (Must have)

Tech :

  • Advanced knowledge of probability and statistics
  • Advanced knowledge of Practical Machine Learning and awareness of the key pitfalls in machine learning and approaches to addressing them
  • Intermediate knowledge levels in SQL and Python
  • Intermediate knowledge of project management methodologies and tools
  • Intermediate knowledge of MS Office applications: MS Excel, MS PowerPoint, and MS Word

Non-tech:

  • Strong business acumen with an ability to assess the financial impact of decisions, both in running the delivery team and delivering solutions to clients.
  • Ability to storyboard presentations effectively and hold conversations with mid-management-level clients.
  • Ability to recognize pragmatic alternatives vis-à-vis a perfect solution and get the delivery teams on board to pursue them, balancing time priorities with potential business impact.
  • Strong people skills, including conflict resolution, empathy, communication, listening, and negotiation.
  • Provide leadership and mentorship to the delivery team.
  • Self-driven with a strong sense of ownership.

Educational Qualifications

  • An undergraduate degree in engineering, statistics, mathematics, computer science, or another technical field.
  • For those with an undergraduate degree in non-technical fields, relevant prior work experience and technical aptitude will be important.

Years of experience

  • 6-10 years of relevant work experience
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MathCo

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12 days ago

Senior Manager - Data Science

Role: Senior Manager - Data Scientist

Position overview

Work in an innovative and fast paced AI application development team to conceptualize and execute projects to leverage the power of AI/ML and analytics. The work will be related to producing business outcomes for Cloud and Cybersecurity products and services of Novamesh, a wholly owned subsidiary of Tata Communications Ltd.

Success in this role requires a mix of data science skills, appreciation of the business, and ability to work across teams. A special focus area of this role would be to identify and execute ideas for creating monetizable product differentiators by working with Domain Experts from individual product teams and acquire domain skills in the process.

Detailed job description

  • Develop, Test, and Deploy ML/AI models for various products
  • 10 to 12 Years of industry experience with demonstratable outcomes in field of Data Science
  • Perform data preprocessing, feature engineering and ML/DL model evaluation
  • Optimize and fine-tune models for performance and scalability
  • Good understanding of Statistical, ML, AI models
  • Good understanding of NLP concepts and projects involving entity recognition, text classification, and language modelling like GPT
  • Build and refine RAG models to improve information retrieval and answer generation.
  • Integrate RAG methods into existing applications to enhance data accessibility and user experience.
  • Work closely with cross-functional teams including software engineers, product managers, and domain experts.
  • Document processes, methodologies, and model development for internal and external stakeholders.
  • Go-getter attitude and will to "Make it happen"

Qualification and Skills

  • Bachelor or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field from reputed institutions.
  • Strong knowledge of probability and statistics.
  • Expertise in machine learning and deep learning skills
  • Hand on experience with GenAI, LLMs and SLMs
  • Strong programming skills
  1. Python, PyTorch, Sci-kit, NumPy, Gen AI tools like langchain/llamaIndex , OpenAI
  2. SQL, flat file DB, Datalakes, data stores, data frames (Pandas, Cudf etc.)
  • Working knowledge of MLOPs principles and implementing projects with Big Data in batch and streaming mode.
  • Good knowledge of Data Engineering and working knowledge of the same
  • Excellent problem-solving skills and a proactive attitude.
  • Excellent communication skills and teamwork abilities.
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Tata Communications

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12 days ago

Data Science Manager

As Manager - Data Science you will be leading one or more client projects to deliver various Advance Analytic solutions. (S)he would be working directly with the clients and guide the team in building a robust solution solving client's business problem as per agreed timelines through application of business knowledge, project management and technical expertise.

What You will do:

  1. We expect you to manage a team and work on complex, cross-functional analytical and research-oriented projects using advanced computational, machine learning and deep learning algorithms.
  2. You will be responsible for developing proprietary algorithms for solving complex business problems while handling large amount of structured and unstructured data.
  3. You will be expected to use relevant knowledge of computer science fundamentals, distributed computing, and machine learning to help build scalable analytical solutions.
  4. You will ensure that the data science team works closely with our technical team and core business teams for design and development of the analytical solutions.
  5. You would need to combine business knowledge with statistical and computational techniques to provide actionable business solutions for our clients.

Ideally, you have:

  1. 4+ years of experience in applying concepts in Data Science, Machine Learning, Algorithm development, Advanced Computing or Statistical Modeling to solve real-world problems.
  2. Practical experience in at least one of the following programming languages: R or Python.
  3. Strong modelling skills and ability to build practical models using advanced algorithms such as Random Forests, SVM, Neural Networks.
  4. Familiarity with algorithms in recommendation systems, NLP or big data frameworks such as Hadoop/Spark is a bonus.
  5. Strong independent and creative research skills necessary to keep up with the latest trends in advanced analytics.
  6. Undergraduate degree from premier institutions such as IIT, BITS, NIT etc.
  7. Interested in working in a high-growth environment where your analysis drives important decisions.
  8. Strong communication skills enabling you to clearly communicate your thoughts/work to the client or internal teams.
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Accordion India

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12 days ago

AI ML Solutions Architect - Data science - 10-15 years- Location Pune/Mumbai / Bangalore

AI Solutions Architect with total of around 10-15 years of experience and atleast 5-8 years of relevant data science, analytics and AI/ML.

• Develop strategies/solutions to solve problems in logical yet creative ways, leveraging state-of-the-art machine learning, deep learning and GEN AI techniques.

• Technically lead a team of data scientists to produce project deliverables on time and with high quality.

• Identify and address client needs in different domains, by analyzing large and complex data sets, processing, cleansing, and verifying the integrity of data, and performing exploratory data analysis (EDA) using state-of-the-art methods.

• Select features, build and optimize classifiers/regressors, etc. using machine learning and deep learning techniques.

• Enhance data collection procedures to include information that is relevant for building analytical systems, and ensure data quality and accuracy.

• Perform ad-hoc analysis and present results in a clear manner to both technical and non-technical stakeholders.

• Create custom reports and presentations with strong data visualization and storytelling skills to effectively communicate analytical conclusions to senior officials in a company and other stakeholders.

• Expertise in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques.

• Strong programming skills in Python.

• Excellent communication and interpersonal skills, with the ability to present complex analytical concepts to both technical and non-technical stakeholders.

Primary Skills :

- Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision and GEN AI. Good applied statistics skills, such as distributions, statistical inference & testing, etc.

- Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc).

- Proficient in coding in common data science language & tools such as R, Python.

- Experience with common data science toolkits, such as NumPy, Pandas, Matplotlib, StatsModel, Scikitlearn, SciPy, NLTK, Spacy, OpenCV etc.

- Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost,etc.

- Exposure or knowledge in cloud (Azure/AWS).

- Experience on deployment of model in production.

Standard Skills:

In-depth understanding of manufacturing workflows, production planning, and quality control.

Familiarity with ISA-95 and ISA-88 standards for manufacturing systems.

Experience working with shop floor automation and IoT devices.

Good To have skills:

MES Certifications, AI/ML, regulatory experience, and emerging technologies like IoT or edge computing.

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Capgemini Engineering

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12 days ago

Data Science Leader

Role:

Data Science Leader

Experience:

10-12 years of overall experience, with at least 5+ years in Data science roles along with 2-4 years in a Leadership or Managerial capacity.

Technical Skills:

Data Science & Machine Learning

  • Deep understanding of statistical modeling, predictive analytics, clustering, NLP, and time series forecasting.
  • Strong grasp of model evaluation, fairness, explainability, and business alignment.

Programming

  • Proficient in Python (or R) with experience in data science libraries like pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
  • Ability to read and review code, debug, and advise on best practices.

Cloud Computing

  • Working knowledge of at least one major cloud platform (AWS, GCP, Azure).
  • Experience with cloud-native tools for data storage (S3, BigQuery), compute (EC2, GKE, Lambda), and ML services (SageMaker, Vertex AI, Azure ML).

Data Engineering Fundamentals

  • Understanding of data pipelines, ETL/ELT processes.
  • Familiarity with tools like Airflow, dbt, Spark, SQL.

Data Visualization

  • Experience with dashboards and reporting tools (Tableau, Power BI, Looker, or custom visualizations using Plotly/Altair).
  • Skilled in transforming complex outputs into clear, compelling narratives for non-technical stakeholders.

MLOps / Deployment

  • Familiarity with modern ML development and deployment practices.
  • Basic understanding of deploying models to production, CI/CD pipelines, and monitoring.

Generative AI

  • Familiarity with GenAI concepts, including large language models (LLMs), embeddings, prompt engineering, and RAG pipelines.
  • Familiarity with tools and APIs like OpenAI, Hugging Face, LangChain.

Leadership & People Management

Team Management

  • Experience leading and mentoring teams of 5-10 individuals across varying levels.
  • Proven track record of building and scaling Data science teams, delivering impactful projects
  • Conduct performance reviews, manage career growth, and foster a healthy team culture.

Cross-Functional Collaboration

  • Proven ability to work closely with product, engineering, marketing, and business teams.

Hiring & Talent Development

  • Skilled in identifying top talent, conducting interviews, onboarding, and team capability building.

Project & Stakeholder Management

Project Management

  • Experienced in managing multiple projects simultaneously.
  • Comfortable with Agile methodologies, sprint planning, and delivery tracking.

Stakeholder Communication

  • Translating technical insights into business terms.
  • Communicates technical insights clearly to senior executives.

Problem Solving & Scope Management

  • Ability to break down ambiguous business problems into solvable components.
  • Define scope and ensure projects align with business impact.

Strategic Thinking

  • Aligns team objectives with company vision and business goals.
  • Drives roadmap planning, and long-term capability building.

Business Acumen

Domain Knowledge

  • Deep understanding of any one business vertical among the following e.g., telecom, BFSI, fintech, e-commerce, healthcare etc.

Impact Orientation

  • Focus on delivering measurable business value from data science efforts.
  • Strong grasp of metrics, KPIs, and ROI-driven thinking.

Strategic Thinking

  • Ability to align data science efforts with long-term business goals.

Soft Skills

  • Exceptional communication, both verbal and written.
  • Decision-Making: Balanced between data, intuition, team input and strategic vision.
  • Empathy & Emotional Intelligence: Especially for managing team dynamics and motivation.
  • Adaptability: In the face of changing priorities or business goals and organizational change.

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Concentrix

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12 days ago

Data Science Specialist

Lead - Data Scientist

Join our high-performing team, honored with the prestigious "Outstanding Data Engineering Team" Award at DES 2025 for setting new benchmarks in data excellence.

About the Role:

We are seeking a highly skilled and GCP-certified AI/ML Engineer with expertise in Generative AI models, Natural Language Processing (NLP), and cloud-native development with 8+Yrs of Expertise. This role involves designing and deploying scalable ML solutions, building robust APIs, and integrating AI capabilities into enterprise applications. The ideal candidate will also have a solid background in software engineering and DevOps practices.

Key Responsibilities:

  • Design, develop, and implement GenAI and NLP models using Python and relevant libraries (Transformers, LangChain, etc.)
  • Deploy ML models and pipelines on GCP (Vertex AI, BigQuery, Cloud Functions) and Azure ML/Azure Services
  • Develop and manage RESTful APIs for model integration
  • Apply ML Ops and CI/CD best practices using tools like GitHub Actions, Azure DevOps, or Jenkins
  • Ensure solutions follow software engineering principles, including modularity, reusability, and scalability
  • Work in Agile teams, contributing to sprint planning, demos, and retrospectives
  • Collaborate with cross-functional teams to define use cases and deliver PoCs and production-ready solutions
  • Optimize performance and cost efficiency of deployed models and cloud services
  • Maintain strong documentation and follow secure coding and data privacy standards.

Required Skills:

  • Strong programming skills in Python with experience in ML & NLP frameworks (e.g., TensorFlow, PyTorch, spaCy, Hugging Face)
  • Experience with Generative AI models (OpenAI, PaLM, LLaMA, etc.)
  • Solid understanding of Natural Language Processing (NLP) concepts like embeddings, summarization, NER, etc.
  • Proficiency in GCP services Vertex AI, Cloud Run, Cloud Storage, BigQuery (GCP Certification is mandatory)
  • Familiarity with Azure ML / Azure Functions / Azure API Management
  • Experience in building and managing REST APIs
  • Hands-on with CI/CD tools and containerization (Docker, Kubernetes is a plus)
  • Strong grasp of software engineering concepts and Agile methodology

Preferred Qualifications:

  • Bachelors or Master's in Computer Science, Data Science, or related field
  • Experience working with cross-platform AI integration
  • Exposure to LLM Ops / Prompt Engineering
  • Certification in Azure AI Engineer or Azure Data Scientist is a plus

Location: Chennai, Coimbatore, Pune, Bangalore

Experience : 8 -12 Years

Regards,

TA Team

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KANINI

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12 days ago

Manager - Data Science (Gen AI)

Job Description

About the Role

We are looking for an AI Engineer with experience in Speech-to-text and Text Generation to solve a Conversational AI challenge for our client based in EMEA. The focus of this project is to transcribe conversations and leverage generative AI-powered text analytics to drive better engagement strategies and decision-making.

The ideal candidate will have deep expertise in Speech-to-Text (STT), Natural Language Processing (NLP), Large Language Models (LLMs), and Conversational AI systems. This role involves working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools.

Key Responsibilities

1. Conversational AI & Call Transcription Development

  • Develop and fine-tune automatic speech recognition (ASR) models
  • Implement language model fine-tuning for industry-specific language.
  • Develop speaker diarylation techniques to distinguish speakers in multi-speaker conversations.

2. NLP & Generative AI Applications

  • Build summarization models to extract key insights from conversations.
  • Implement Named Entity Recognition (NER) to identify key topics.
  • Apply LLMs for conversation analytics and context-aware recommendations.
  • Design custom RAG (Retrieval-Augmented Generation) pipelines to enrich call summaries with external knowledge.

3. Sentiment Analysis & Decision Support

  • Develop sentiment and intent classification models.
  • Create predictive models that suggest next-best actions based on call content, engagement levels, and historical data.

4. AI Deployment & Scalability

  • Deploy AI models using tools like AWS, GCP, Azure AI, ensuring scalability and real-time processing.
  • Optimize inference pipelines using ONNX, TensorRT, or Triton for cost-effective model serving.
  • Implement MLOps workflows to continuously improve model performance with new call data.

Qualifications

Technical Skills

  • Strong experience in Speech-to-Text (ASR), NLP, and Conversational AI.
  • Hands-on expertise with tools like Whisper, DeepSpeech, Kaldi, AWS Transcribe, Google Speech-to-Text.
  • Proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers.
  • Experience with LLM fine-tuning, RAG-based architectures, and LangChain.
  • Hands-on experience with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for knowledge retrieval.
  • Experience deploying AI models using Docker, Kubernetes, FastAPI, Flask.

Soft Skills

  • Ability to translate AI insights into business impact.
  • Strong problem-solving skills and ability to work in a fast-paced AI-first environment.
  • Excellent communication skills to collaborate with cross-functional teams, including data scientists, engineers, and client stakeholders.

Preferred Qualifications

  • Experience in healthcare, pharma, or life sciences NLP use cases.
  • Background in knowledge graphs, prompt engineering, and multimodal AI.
  • Experience with Reinforcement Learning (RLHF) for improving conversation models.
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Acunor Infotech Private Limited

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12 days ago

Director Data Science

Sigmoid enables business transformation using data and analytics, leveraging real-time insights to

make accurate and fast business decisions, by building modern data architectures using cloud and

open source. Some of the world's largest data producers engage with Sigmoid to solve complex

business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial

intelligence, and DataOps. Sigmoid has been recognized as one of the fastest growing technology

companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500.

Offices: New York Dallas San Francisco Lima Bengaluru

This role is for our Bengaluru office.

Why Join Sigmoid?

• Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly

combining technical expertise and creativity to tackle intrinsically complex business

problems and convert them into straight-forward data solutions.

• Despite being continuously challenged, you are not alone. You will be part of a fast-paced

diverse environment as a member of a high-performing team that works together to

energize and inspire each other by challenging the status quo

• Vibrant inclusive culture of mutual respect and fun through both work and play

Roles and Responsibilities:

• Convert broad vision and concepts into a structured data science roadmap, and guide a

team to successfully execute on it.

• Handling end-to-end client AI & analytics programs in a fluid environment. Your role will be a

combination of hands-on contribution, technical team management, and client interaction.

• Proven ability to discover solutions hidden in large datasets and to drive business results

with their data-based insights

• Contribute to internal product development initiatives related to data science.

• Drive excellent project management required to deliver complex projects, including

effort/time estimation.

• Be proactive, with full ownership of the engagement. Build scalable client engagement level

processes for faster turnaround & higher accuracy

• Define Technology/ Strategy and Roadmap for client accounts, and guides implementation

of that strategy within projects

• Manage the team-members, to ensure that the project plan is being adhered to over the

course of the project

• Build a trusted advisor relationship with the IT management at clients and internal accounts

leadership.

Mandated Skills:

• A B-Tech/M-Tech/MBA from a top tier Institute preferably in a quantitative subject

• 14+ years of hands-on experience in applied Machine Learning, AI and analytics

• Experience of scientific programming in scripting languages like Python, R, SQL, NoSQL,

Spark with ML tools & Cloud Technology (AWS, Azure, GCP)

• Experience in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scrapy, BERT

etc.

• Strong grasp of depth and breadth of machine learning, deep learning, data mining, and

statistical concepts and experience in developing models and solutions in these areas

• Expertise with client engagement, understanding complex problem statements, and offering

solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc.

Desired Skills:

Deep understanding of ML algorithms for common use cases in both structured and

unstructured data ecosystems.

Comfortable with large scale data processing and distributed computing

Providing required inputs to sales, and pre-sales activities

A self-starter who can work well with minimal guidance

Excellent written and verbal communication skills

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Sigmoid

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12 days ago

Data Science Specialist

Roles and Responsibilities:

  • Develop AI solution based on deep learning/ Neural network/ NLP/ computer vision to extract the content from the video/ image
  • Develop and implement artificial intelligence models, primarily focusing on Generative AI.
  • Prepare custom neural network architecture and train deep learning networks
  • Integrate AI solutions with real-time applications and deploy them both on on-premise and cloud (AWS, Azure)
  • Lead the design and development of AI solutions, ensuring their alignment with the company's objectives. Collaborate with cross-functional teams to understand their needs and translate them into AI solutions.
  • Data Imputation & Cleansing through industry best statistical practices
  • Leverage cloud technologies for the development and deployment of AI solutions.
  • Utilize cloud technologies to enhance the efficiency and scalability of AI solutions.
  • Conduct regular testing of AI models to ensure their accuracy and reliability. Troubleshoot and resolve any issues related to AI models or their implementation.
  • Regularly report on project status, challenges, and achievements to senior management.
  • Ensure adherence to industry best practices and compliance with company policies in all AI-related activities.
  • Candidate should have working experience of building AI agents using available frameworks

Qualifications:

Must Have:

  • Hold a Bachelor's degree in Engineering or Technology, preferably with a specialization in a related field.
  • Possess 1-6 years of experience in developing and implementing AI solutions, with a focus on Generative AI.
  • Demonstrate proficiency in deep learning/ Neural network/ NLP/ computer vision /Machine Learning and Generative AI
  • Exhibit a strong understanding of Statistics, ML methodologies, and training of neural networks.
  • Candidate should have working experience of building AI agents using available frameworks

Good to have:

  • Be proficient in using cloud technologies for the development and deployment of AI solutions.
  • Have hands-on experience in building deep learning/ Neural network/ NLP/ computer vision /Machine Learning and Generative AI solutions using cloud native services.
  • Be familiar with industry best practices and compliance requirements related to AI.
  • Possess certification in AI or related field.
  • Have the ability to work independently as well as part of a team.
  • Demonstrate strong project management skills, with the ability to define project scope, goals, and deliverables.

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EXL

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12 days ago

Data Science Specialist

About Holcim: As the world's global leader in innovative and sustainable building materials, Holcim is reinventing the way the world builds. Supported by a 60,000-strong global team spread across 60 countries and four industry segments (Cement, Aggregates, Ready-Mix Concret and Solutions & Products), we are committed to shaping a greener, smarter and healthier world. It's our ambition to lead the industry in reducing carbon emissions and accelerating the transition towards low-carbon constructions globally. To enable and support our business, Holcim have setup the Group's Center of Excellence for Advanced Analytics and AI - which encompasses Data Science, Data Engineering, Cloud Platforms Engineering and Business Intelligence. The Group CoE supports Holcim's Businesses, Functions and OpCos Globally

Job Title: Data Science Specialist

Job Location: Remote/Work from home

Education: Education / Qualification

  • BE / B. Tech in Computer Science, Engineering or relevant STEM fields
  • Graduate degree in Data Science or other quantitative field is preferred
  • Strong mathematics skills (e.g. statistics, algebra)
  • Certification in Cloud Analytics Platforms - AWS must

The Manager- Data Science will be part of the Group's Global Advanced Analytics CoE and will play a key role in enabling our Businesses for Insights Driven Operations and Decision making - leveraging cutting edge Analytics tools and techniques Data Scientist (Individual Contributor initially, with potential to move into a People Management role with strong performance)

Responsibilities:

  • Work with Business / Domain SMEs, understand pain and opportunity areas and create analytical models to identify patterns and predict outcomes of key business processes
  • Identify the appropriate modeling technique(s) and use Machine Learning and Deep Learning Algorithms to develop self-correcting models and algorithms, validate results from the business perspective and identify levers to improve outcomes
  • Collaborate with Product Development teams to industrialize AI / ML models and conduct rapid and iterative prototyping of minimum viable solutions
  • Test hypothesis on raw datasets and build meaningful and conclusive insights to identify new opportunity areas.
  • Work on all aspects of data including data acquisition, data exploration, feature engineering, building and optimizing models etc.
  • Develop and deploy Gen AI Solutions
  • Design full stack ML solutions in a distributed computing environment -AWS (preferred) and GCP. If needed develop ML solutions to be deployed on the edge (like actuators in plants) or mobiles

Your Experience:

  • Total experience of 12-15 years (relevant Analytics experience atleast 8 years) Industry Experience and knowledge especially in Manufacturing/ Operations Functions in a Building Material Industry, Manufacturing, Process or Pharma preferred
  • Handson experience in statistical and data sceience techniques
  • Knowledge and experience in developing and deploying Gen AI Solutions

Required Skills:

  • 8+ years of handson experience in advanced Machine Learning & Deep Learning techniques and algorithms such as Decision Trees, Random Forests, SVMs, Regression, Clustering, Neural Networks, CNNs, RNNs, LSTMs, Transformers, etc.
  • 6+ years of experience in experience in statistical computer languages (Python, PySpark etc.) to manipulate data and draw insights from large data sets
  • 5+ years of experience in Cloud platforms like AWS with specific experience of leveraging AWS services and deploying AI / ML models on these platforms.
  • Experience in DL frameworks such as TensorFlow, Keras or PyTorch
  • Familiarity with business intelligence tools (e.g. Qlikview) and data frameworks will be an added advantage

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Holcim Global Digital Hub

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12 days ago

Data Science Specialist

Data Science with Python

Job Location: Bangalore only

Work Experience: 3+ years of professional experience in software development

About the Role: Seeking a highly skilled and innovative Software Engineer to join our dynamic team. The ideal candidate will be passionate about solving complex problems related to data, labeling, and accuracy, and will play a crucial role in enhancing the performance of our platform. This role requires a deep understanding of data science principles, strong analytical skills, and the ability to develop and implement cutting-edge solutions, with a particular focus on Python.

Key Responsibilities:

Innovate in Data Science:

  • Develop and implement innovative solutions to address complex data-related challenges using Python.
  • Explore and apply advanced data science techniques to improve data labeling and accuracy.

Problem Solving:

  • Identify and solve big problems related to data processing, management, and analysis.
  • Collaborate with cross-functional teams to understand and address data-related issues.

Performance Improvement:

  • Analyze and optimize the performance of our data platform.
  • Implement strategies to enhance the efficiency and scalability of data processing workflows using Python.

Collaboration and Communication:

  • Work closely with data scientists, engineers, and other stakeholders to ensure seamless integration of data solutions.
  • Communicate complex technical concepts to non-technical stakeholders effectively.

Continuous Learning:

  • Stay updated with the latest trends and advancements in data science and related technologies.
  • Participate in knowledge-sharing sessions and contribute to the continuous improvement of the team.

About the company:

Company website ( )

Edgeverve Systems Limited, an Infosys Company, is a global leader in AI and Automation, assisting clients thrive in their digital transformation journey. Our mission is to create a world where our technology augments human intelligence and creates possibilities for enterprises to thrive. Our comprehensive product portfolio across AI (Infosys Nia), Automation (AssistEdge) and AI enabled Business Applications (TradeEdge, FinXEdge, ProcureEdge) helps businesses develop deeper connections with stakeholders, power continuous innovation and accelerate growth in the digital world.

Disclaimer: EdgeVerve Systems does not engage with external manpower agencies or charge any fees from candidates for recruitment.

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EdgeVerve

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12 days ago

Senior Consultant Data Science

Qualification & Experience:

  • Minimum of 8 years of experience as a Data Scientist/Engineer with demonstrated expertise in data engineering and cloud computing technologies.
  • Technical Responsibilities -
  • Excellent proficiency in Python, with a strong focus on developing advanced skills.
  • Extensive exposure to NLP and image processing concepts.
  • Proficient in version control systems like Git.
  • In-depth understanding of Azure deployments.
  • Expertise in OCR, ML model training, and transfer learning.
  • Experience working with unstructured data formats such as PDFs, DOCX, and images. O
  • Strong familiarity with data science best practices and the ML lifecycle.
  • Strong experience with data pipeline development, ETL processes, and data engineering tools such as Apache Airflow, PySpark, or Databricks.
  • Familiarity with cloud computing platforms like Azure, AWS, or GCP, including services like Azure Data Factory, S3, Lambda, and BigQuery.
  • Tool Exposure: Advanced understanding and hands-on experience with Git, Azure, Python, R programming and data engineering tools such as Snowflake, Databricks, or PySpark.
  • Data mining, cleaning and engineering: Leading the identification and merging of relevant data sources, ensuring data quality, and resolving data inconsistencies.
  • Cloud Solutions Architecture: Designing and deploying scalable data engineering workflows on cloud platforms such as Azure, AWS, or GCP.
  • Data Analysis: Executing complex analyses against business requirements using appropriate tools and technologies.
  • Software Development: Leading the development of reusable, version-controlled code under minimal supervision.
  • Big Data Processing: Developing solutions to handle large-scale data processing using tools like Hadoop, Spark, or Databricks.

Principal Duties & Key Responsibilities:

  • Leading data extraction from multiple sources, including PDFs, images, databases, and APIs.
  • Driving optical character recognition (OCR) processes to digitize data from images.
  • Applying advanced natural language processing (NLP) techniques to understand complex data.
  • Developing and implementing highly accurate statistical models and data engineering pipelines to support critical business decisions and continuously monitor their performance.
  • Designing and managing scalable cloud-based data architectures using Azure, AWS, or GCP services.
  • Collaborating closely with business domain experts to identify and drive key business value drivers.
  • Documenting model design choices, algorithm selection processes, and dependencies.
  • Effectively collaborating in cross-functional teams within the CoE and across the organization.
  • Proactively seeking opportunities to contribute beyond assigned tasks.

Required Competencies:

  • Exceptional communication and interpersonal skills.
  • Proficiency in Microsoft Office 365 applications.
  • Ability to work independently, demonstrate initiative, and provide strategic guidance.
  • Strong networking, communication, and people skills.
  • Outstanding organizational skills with the ability to work independently and as part of a team.
  • Excellent technical writing skills.
  • Effective problem-solving abilities.
  • Flexibility and adaptability to work flexible hours as required.

Key competencies / Values:

  • Client Focus: Tailoring skills and understanding client needs to deliver exceptional results.
  • Excellence: Striving for excellence defined by clients, delivering high-quality work.
  • Trust: Building and retaining trust with clients, colleagues, and partners.
  • Teamwork: Collaborating effectively to achieve collective success.
  • Responsibility: Taking ownership of performance and safety, ensuring accountability.
  • People: Creating an inclusive environment that fosters individual growth and development.

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Arcadis

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12 days ago

Data Science Manager (Agri)

SatSure is seeking a Data Science Manager interested in building, scaling, and operating geospatial software platforms for agriculture use cases to support state-of-the-art products. these products need to scale to millions of daily transactions with 99.99% uptime while allowing continuous and rapid deployments across new business lines.

About SatSure:

SatSure is a deep tech, decision intelligence company that works primarily at the nexus of agriculture, infrastructure, and climate action, creating an impact for the other millions, focusing on the developing world. We want to make insights from Earth observation data accessible to all.

If you are interested in working in an environment that focuses on the impact on society, is driven by cutting-edge technology, and where you will have the freedom to work on innovative ideas and be creative with no hierarchies, SatSure is the place for you.

Role:

As a Data Science Manager in the Agriculture Domain, your role is pivotal in developing data products, extracting insights, and leveraging decision intelligence to optimize agricultural processes.

This includes tasks such as identifying crop varieties, distinguishing between different agricultural layers, improving crop yields, estimating yields, enhancing sustainability, and driving innovation in the agriculture industry.

You will lead a high-performing team comprising data scientists, ML researchers, and geospatial experts. Collaboration with cross-functional product and business teams will be crucial to develop and implement data-driven solutions that address the unique challenges faced by the agriculture sector, including the financing of farmer's loans.

This role is central to our mission of supporting and empowering low-income farmers by utilizing geospatial data and ML/DL techniques to facilitate access to agricultural financing.

Data Science Product Development:

  • Lead the development of advanced deep learning, machine learning, and statistical models to address intricate agricultural challenges, including crop classification, yield estimation, and crop disease identification, using remote sensing and geospatial data across various resolutions (high-resolution and low-resolution satellite, drone, and aerial images).
  • Lead and coach the team to design experiments, develop algorithms, and validate models.
  • Collaborate with stakeholders to understand business objectives and define data science strategies aligned with the goals of the agriculture domain. Also helping with prioritization.
  • Regularly communicate with stakeholders, project managers, and other developers regarding progress on the long-term technology roadmap.
  • Delivering OKRs by defining goals, and roadmaps and facilitating qtr planning, sprint planning and grooming, retrospective meetings, etc to achieve those goals.
  • Building, scaling, and automating end-to-end DS solutions to support products at scale.
  • Optimize applications for minimum latency and high scalability

Hiring & Building Team:

  • Build, Lead, and Manage a team of ML researchers, Data Scientists, and Geospatial and Remote Sensing experts working in the Agriculture domain, providing guidance and mentorship.
  • Defining career paths for team members and helping them grow with regular coaching and mentoring.
  • Foster a collaborative and innovative team culture, encouraging knowledge sharing and professional development.

Must-Have:

  • 5 - 8 years of working experience in DL/ML/Data science/Computer Vision.
  • 2+ years of experience in leading a team of data scientists/ machine learning engineers.
  • Statistical knowledge along with great proficiency in Python.
  • Strong understanding and implementation experience of predictive modeling algorithms such as regressions, time series, neural networks, clustering, decision trees, and heuristic models, with familiarity dealing with tradeoffs between model performance and business needs
  • Experience combining user research and data science methodologies across multiple products within the business unit.
  • Experience in developing advanced computer vision-based deep learning models to tackle complex challenges.
  • Must have delivered multiple data science product(s) in production.
  • Bachelor's / Master's degree in Computer Science Engineering, Data Science, Deep Learning / Machine Learning preferred.

Good-to-Have:

  • Experience in developing computer vision-based machine learning and deep learning models for agricultural applications, utilizing remote sensing data.
  • Experience in leading a team of geospatial engineers to solve challenging problems preferably in the agriculture domain.

Competencies:

  • Excellent communication skills that enable you to work cross-functionally with business folks, product managers, and technical experts, building solid relationships with a diverse set of stakeholders.
  • Great at strategic planning, balancing stakeholders, and translating product requirements into technical.
  • Vast analytical problem-solving capabilities & experience.
  • Strong leadership and communication skills.
  • Ability to work cross-functionally.
  • Bias for action.

Benefits:

  • Medical Health Cover for you and your family including unlimited online doctor consultations
  • Access to mental health experts for you and your family
  • Dedicated allowances for learning and skill development
  • Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves
  • Twice a year appraisal

Interview Process:

  • Intro call
  • Assessment
  • Presentation
  • Interview rounds (ideally up to 3-4 rounds)
  • Culture Round / HR round

Link to SatSure blogs

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SatSure

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12 days ago

Data Science Engineer

About Position:

We are conducting in-person drive for Data Science skills in Pune and Bangalore location on 31st May 2025.

We are looking for an experienced and talented GenAI Developer to join our growing data competency team. The ideal candidate will have a strong background in working with GEN AI , ML ,LangChain, LangGraph, GenAI Architecture Strategy, Prompt engineering. You will work closely with our data analysts, engineers, and business teams to ensure optimal performance, scalability, and availability of our data pipelines and analytics.

  • Role: Data Science
  • Location: Pune Bangalore
  • Experience: 4 Years-12 Years
  • Job Type: Full Time Employment

What You'll Do:

  • Seeking a Machine Learning Engineer skilled in Langchain, ML modeling, and MLOps to build and deploy production-ready AI systems.
  • Design and deploy ML models and pipelines
  • Build intelligent apps using Langchain & LLMs
  • Implement MLOps workflows for training, deployment, monitoring
  • Ensure model reproducibility and performance at scale

Expertise You'll Bring:

  • Python, Scikit-learn, TensorFlow/PyTorch
  • Langchain, LLM integration
  • MLOps tools (MLflow, Kubeflow, DVC)
  • Docker, Git, CI/CD
  • Cloud (AWS/GCP/Azure)

Benefits:

  • Competitive salary and benefits package
  • Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications
  • Opportunity to work with cutting-edge technologies
  • Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
  • Annual health check-ups
  • Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Inclusive Environment:

Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

  • We offer hybrid work options and flexible working hours to accommodate various needs and preferences.
  • Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities.
  • If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive.

Our company fosters a values-driven and people-centric work environment that enables our employees to:

  • Accelerate growth, both professionally and personally
  • Impact the world in powerful, positive ways, using the latest technologies
  • Enjoy collaborative innovation, with diversity and work-life wellbeing at the core
  • Unlock global opportunities to work and learn with the industry's best

Let's unleash your full potential at Persistent

"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."

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Persistent Systems

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12 days ago

Sr. Data Science Engineer

Excellent opening for Sr. Data Science Engineer, please find below JD for reference.

We are seeking an experienced Data Science Engineer with 5-7 years of experience to design and implement advanced AI/ML solutions. The role focuses on developing AI applications and developing cloud-native solutions.

You will work on:

We are looking for self-driven Data Professional to be a key member of our Data & AI Practice. We help many of our clients make sense of their large investments in data - be it building analytics solutions or machine learning applications or Generative AI based solution. You will work on cutting edge cloud-native technologies to build meaningful insights.

Job Location: Pune

What you will do (Responsibilities):

  • Perform high-level work both independently and collaboratively as a project member or leader on multiple projects.
  • Collaborate with Product Management team, elicit AI/ML use case specific requirements, explore and evaluate approaches
  • Own the end-end process, from recognizing the problem to implementing the solution
  • Develop Computer Vision, NLP, Machine learning, Deep Learning, Gen AI based applications & demos according to the requirements and needs.
  • Select appropriate datasets and data representation methods.
  • Explore new tools, technologies, frameworks in ML, DL, Gen AI technologies and experiments.
  • Keep abreast of developments in the field.
  • Mentor, guide junior team members

What you bring (Skills):

  • 5-7 years of end to end project lifecycle experience (Analysis, Design, Development, Testing, Deployment & Monitoring) in building enterprise grade AI applications
  • Sound knowledge in Linear Algebra, Statistics, Probability
  • Strong Knowledge & Experience in Python and Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK etc.
  • Experience in various ML Algorithms (like KNN, SVM, Regression, Decision Trees, K-Means, Naive Bayes, GBM and Decision Forests etc)
  • Familiarity with deep learning, machine learning and NLP/NLG frameworks (like Keras, TensorFlow or PyTorch etc.), HuggingFace Transformers and libraries (like scikit-learn, spacy, CoreNLP etc.)
  • Proficiency in designing, training, and deploying deep learning models for computer vision tasks.
  • Experience with image processing, filtering, object detection frameworks (e.g., YOLO, Faster R-CNN, Mask R-CNN), image segmentation techniques (semantic, instance, panoptic), and image classification.
  • Experience in Generative AI /LLM's frameworks, tools & technologies
  • Experience in Prompt Engineering & Langchain / LlamaIndex, Vector search, RAG frameworks, Function Calling, Agentic Frameworks, Document Processing
  • Experience in Cloud-based services such as AWS (Primary), Azure or GCP
  • Understanding of how to operationalize these models to run in an automated context
  • Strong development experience using Python and SQL (including DB Design & Complex query optimizations).
  • Experience with async programming and RESTful APIs (FastAPI)
  • Sound understanding of CI-CD, Containerization & Orchestration
  • Excellent analytical, problem solving and communication skills

Great if you know (Skills):

  • Experience with Scrum and/or other Agile development processes
  • Exposure to MlOps, LLMOps - model and experiment versioning, hyper parameter tuning, model deployment and monitoring aspects
  • Sound understanding of data visualization aspects
  • Ability to lead R&D and POC efforts . Experience in pre-sales is desirable.
  • A track record of delivery within a number of large-scale projects, demonstrating ownership of architecture solutions and managing change
  • Experience in manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources

Advantage Cognologix:

  • A higher degree of autonomy, startup culture & small teams
  • Opportunities to become an expert in emerging technologies
  • Remote working options for the right maturity level
  • Competitive salary & family benefits
  • Performance based career advancement

About Cognologix:

Cognologix helps companies disrupt by reimagining their business models and innovate like a Startup. We are at the forefront of digital disruption and take a business-first approach to help meet our client's strategic goals.

We are a Data focused organization helping our clients to deliver their next generation of products in the most efficient, modern, and cloud-native way.

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Cognologix Technologies

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12 days ago

Financial Domain: Full Stack Developer with Data Engg. / Data Science experience

Job description - Contract To Hire

Company Description

Vertus Solutions dba CMIT Solutions NYNJ offers proactive and dependable technology and data solutions to businesses with 24/7 mission critical operations. Its comprehensive technology and security solutions enable clients to grow their business and protect from security threats, accidental damages and errors.

Role Description

Full stack developer with 5+ years of hands on experience in requirements analysis, technical design, full stack development of high performing financial applications using large scale data solutions using latest technology stacks.

The developer will work on challenging projects and interact with project and client team for a wide range of business applications and product/IP development. This role provides significant growth opportunity for a hands-on developer who can deliver scalable solutions to complex financial problems.

Taking ownership to meet deadlines with high quality deliverables is essential. As a senior member of the team, you will develop solutions with the right architecture and technology, and build creative solutions that are economically feasible and operationally efficient.

High volume transaction processing, front-end to application layer and back-end DB components development with performance optimization - are required skills to succeed in this role.

Finally, a commitment to quality, timeliness, clean design and client satisfaction are essential. Excellent communication skills are required for clients communication and demo/illustrations etc.

Qualifications

  • Data Engineering/Science: Python, SQL, Scala, Java, Apache Spark, Airflow, Kafka, Hadoop, PostgreSQL, MongoDB, BigQuery etc.
  • Cloud: AWS (Glue, S3), Azure, GCP, ETL/ELT Pipelines
  • Front end: C#, ASP.NET, MVC, JavaScript/JQuery, Bootstrap, Angular, React or similar
  • Middle tier: Java, Spring boot, WebApi Azure cloud/Graph APIs etc.
  • Back end: MS SQL Server, Oracle, PL/SQL, NOSQL
  • RESTful API, JSON, XML, Microservices, Web API, MQ/Topic, Kafka and similar technologies
  • Integration/Batch automation: API, micro-services, ETL (Pentaho, Informatica) and batch automation (Tidal, Autosys)
  • SDLC management: Azure, Git, Perforce, Jira, Confluence, Bamboo, etc.
  • Experience in scalability improvement and performance optimization
  • UI/UX design using Wireframing (Figma, Adobe etc.)
  • DevOps, CI, automated build, Cloud native development and deployment
  • User documentation and efficient communication
  • Strong problem-solving, debugging, communication and teamwork abilities
  • Bachelor's degree in Computer Science or related field

Benefits

  • Competitive package based on experience and productivity
  • Flexible remote/ hybrid work
  • New development opportunity (no legacy technology)
  • Full SDLC experience from requirement to architecture, development and delivery
  • Own and independently manage significant deliveries
  • Leading technology, platforms and enterprise products to work with
  • Constant learning and development of new technologies
  • Ability to grow substantially and build a team
  • Work culture where individual idea and creativity are encouraged
  • Onsite opportunities when required by project
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Vertus Enterprises Inc. dba CMIT Solutions, JCMCH

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12 days ago

Gen AI Data science

About the job

Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business outcomes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation.

As part of the multibillion-dollar CK Birla Group, Birlasoft, boasting a team of 12,500+ professionals, is committed to carrying forward the Group's illustrious 162-year legacy. At our core, we prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, ensuring our commitment to building not just businesses but inclusive and sustainable communities.

Join us in shaping a future where technology aligns seamlessly with purpose.

Gen AI LLM Data science

Must have 6+ years of experience working in Data science, Machine learning and especially NLP technologies.

Exposure to various LLM technologies and solid understanding of Transformer Encoder Networks.

Able to apply deep learning and generative modeling techniques to develop LLM solutions in the field of Artificial Intelligence.

Utilize your extensive knowledge and expertise in machine learning (ML) with a focus on generative models, including but not limited to generative adversarial networks (GANs), variational autoencoders (VAEs), and transformer-based architectures.

Solid understanding of Model development, model serving, training/re-training techniques in a data sparse environment.

Very good understanding of Prompt engineering techniques in developing Instruction based LLMs.

Must be able to design, and implement state-of-the-art generative models for natural language processing (NLP) tasks such as text generation, text completion, language translation, and document summarization.

Work with SAs and collaborate with cross-functional teams to identify business requirements and deliver solutions that meet the customer needs.

Passionate to learn and stay updated with the latest advancements in generative AI and LLM.

Nice to have -contributions to the research community through publications, presentations, and participation in relevant conferences or workshops.

Evaluate and preprocess large-scale datasets, ensuring data quality and integrity, and develop data pipelines for training and evaluation of generative models.

Ability to articulate to business stakeholders on the hallucination effects and various model behavioral analysis techniques followed.

Exposure to developing Guardrails for LLMs both with open source and cloud native models.

Collaborate with software engineers to deploy and optimize generative models in production environments, considering factors such as scalability, efficiency, and real-time performance.

Nice to have- provide guidance to junior data scientists, sharing expertise and knowledge in generative AI and LLM, and contribute to the overall growth and success of the data science team.

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Birlasoft

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12 days ago

Data Science Consultant

Infosys Consulting, the management consulting business of Infosys, is looking to hire Data Scientists. You should have between 2 to 10 years of Data Science experience.

Successful candidates will be part of a specialized customer-facing AI Labs team in our rapidly expanding Automation & Artificial Intelligence Consulting Practice. They will work closely with our AI Consultants and SMEs to define and deliver best-in-class solutions.

You will be entrepreneurial, inspired by execution excellence, possess strong design skills creating client deliverables and bid documents, highly analytical, emotionally intelligent, a team player, and only satisfied when your work has a meaningful impact. You will help our clients identify and qualify opportunities to leverage automation to unlock business value and maintain a competitive edge.

Infosys Consulting offers exceptional opportunity for personal growth, and, alongside client engagements, you will be recognized for your personal contribution to leading and developing new opportunities, developing thought leadership and service offerings in the domains of artificial intelligence and automation.

Responsibilities:

  • You will need to be well spoken and have an easy time establishing productive long lasting working relationships with a large variety of stakeholders
  • Take the lead on data pipeline design with strong analytical skills and a keen eye for detail to really understand and tackle the challenges businesses are facing
  • You will be confronted with a large variety of Data Science tools and other new technologies as well with a wide variety of IT, compliance, security related issues.
  • Design and develop world-class technology solutions to solve business problems across multiple client engagements.
  • Collaborate with other teams to understand business requirements, client infrastructure, platforms and overall strategy to ensure seamless transitions.
  • Work closely with AI and A global team and with our Fortune 500 clients to build world-class solutions and to define AI strategy.
  • You will possess strong logical structuring and problem-solving skills with expert level understanding of database and have an inherent desire to turn data into actions.
  • Strong verbal, written and presentation skills
  • As a Data Scientist, you will need to have strong programming skills and strong understanding of data science and Machine Learning tools.
  • You will be working on high impact initiatives with other Data Scientists across the globe

Requirements:

  • Bachelor's or master's degree/PhD in Statistics, computer science, information technology, or a similar field.
  • Solid understanding in Statistics, e.g., hypothesis formulation, hypothesis testing, descriptive analysis and data exploration.
  • Expert level experience in Python or R.
  • Strong experience in machine learning algorithms like

o Linear/Logistic regression,

o Random Forest,

o SVM,

o Neural Networks,

o Deep Learning - CNN, RNN, LSTM

  • Exposure to NLP and Computer vision use cases.
  • In-depth knowledge of neural networks and architectures
  • Familiarity with the latest DL architectures.
  • Toolkits/Frameworks/Libraries - Pytorch, TF/Keras, Scikit-Learn, BERT
  • Experience in Machine Learning Lifecycle - Data Processing, Algorithm Benchmarking, Validation
  • Exposure to build an AI model from scratch
  • Exposure to Graph based databases is a plus.
  • Experience with relational databases.
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Infosys Consulting

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12 days ago

Senior Manager, Data Science - Voice Bot

A Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it.

In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million.

In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. All of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance.

Yubi Credit Marketplace - With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any and all capital requirements.

Yubi Invest - Fixed income securities platform for wealth managers & financial advisors to channel client investments in fixed income

Financial Services Platform - Designed for financial institutions to manage co-lending partnerships & asset based securitization

Spocto - Debt recovery & risk mitigation platform

Corpository - Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals and Predictions to Lenders, Investors and Business Enterprises

So far, we have on-boarded over 17000+ enterprises, 6200+ investors & lenders and have facilitated debt volumes of over INR 1,40,000 crore.

Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment.

At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today, who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come, join the club to be a part of our epic growth story.

Job Summary:

We are seeking a highly experienced and visionary Senior Manager in Data Science with a specialized focus on voice bot technologies. The successful candidate will manage

end-to-end deliveries, from enhancing user experiences and conducting client interactions to spearheading the development of sophisticated models. As a thought leader in the field, you will leverage your expertise in machine learning, statistics, and large language models (LLMs) to drive innovation and excellence in our voice bot projects.

Key Responsibilities:

Leadership and Strategy:

Lead and mentor a team of data scientists and engineers in the development and deployment of voice bot solutions.

Develop and implement a strategic plan that aligns with organizational goals and advances our capabilities in voice technologies.

Act as a thought leader, staying abreast of industry trends, emerging technologies, and best practices in voice bot development and AI.

Project Management:

Oversee end-to-end project execution, ensuring timely delivery and alignment with client expectations and strategic objectives.

Collaborate with cross-functional teams including UX/UI design, product management, and engineering to enhance voice bot user experiences.

Engage with clients to understand their needs, provide expert advice, and

ensure that deliverables meet their expectations.

Technical Expertise:

Lead the design, development, and optimization of machine learning models and algorithms tailored for voice bot applications.

Utilize advanced statistical methods and LLMs to enhance the performance and capabilities of voice bots.

Ensure high standards of data quality and model accuracy through rigorous testing and validation practices.

Innovation and Thought Leadership:

Drive innovation in voice bot technology, exploring new approaches and solutions to complex challenges.

Publish and present findings and advancements in voice bot and AI technologies to internal and external audiences.

Foster a culture of continuous learning and improvement within the team and the broader organization.

Qualifications:

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A Ph.D. is highly desirable.

8 to 12 years of experience in data science, with a significant focus on machine learning, statistics, and large language models.

Proven experience in developing and managing voice bot solutions from concept through to deployment.

Strong leadership skills with the ability to inspire and develop high-performing teams.

Demonstrated ability to engage and communicate effectively with clients and stakeholders at all levels.

In-depth knowledge of the latest trends and technologies in machine learning and AI, particularly in the context of voice applications.

Excellent problem-solving skills and the ability to think strategically and execute methodically.

Strong project management skills with the ability to manage multiple projects and priorities.

Preferred Experience:

Experience in deploying voice bots across multiple platforms and industries.

Publications or speaking engagements in relevant conferences or journals.

This Job Description is designed to give applicants a comprehensive understanding of

the role and what is expected. The successful candidate will have the opportunity to

make a significant impact on the organization's capabilities in voice bot technology,

driving growth and delivering exceptional value to our clients.

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Yubi

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12 days ago

Data Science - 3

About Navi:

Navi is one of the fastest-growing financial services companies in India providing Personal & Home Loans, UPI, Insurance, Mutual Funds, and Gold. Navi's mission is to deliver digital-first financial products that are simple, accessible, and affordable. Drawing on our in-house AI/ML capabilities, technology, and product expertise, Navi is dedicated to building delightful customer experiences.

Founders: Sachin Bansal & Ankit Agarwal

Know what makes you a "Navi_ite" :

1.Perseverance, Passion and Commitment

• Passionate about Navi's mission and vision

• Demonstrates dedication, perseverance and high ownership

• Goes above and beyond by taking on additional responsibilities

2.Obsession with high quality results

• Consistently creates value for the customers and stakeholders through high quality outcomes

• Ensuring excellence in all aspects of work

• Efficiently manages time, prioritizes tasks, and achieves higher standards

3.Resilience and Adaptability

• Adapts quickly to new roles, responsibilities, and changing circumstances, showing resilience and agility

Responsibilities:

  • Lead and develop data science solutions to solve complex business solutions
  • Formulate business problems to data science problems
  • Work cross functionally with business and engineering teams to drive data science initiatives
  • Define right quality metrics for ML models and optimize them
  • Mentor and provide feedback to team members

Qualifications:

  • Bachelor or above in Computer/Electrical Engineering, Mathematics, Economics or in a quantitative field with research bent of mind and have a minimum of 5+ years of experience
  • Sound understanding of modern Machine learning techniques, mathematical underpinnings, and experienced in using different machine learning frameworks (sci-kit-learn, Keras, TF Spark, MLlib etc)
  • Experience in using distributed computing platforms
  • Strong programming skills (preferably in Python, Scala, etc)
  • Experience in driving large scale machine learning learning problems end to end

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Navi

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12 days ago

Hiring for Lead Data Science

The job responsibilities include the following:

  • Clearly Setting Project Objectives with the Client - Take initiatives to identify opportunities and develop problem statements to be worked upon.
  • Data Extraction, Cleansing and Manipulation - Handle large volume of data, research for variables and work with structured/unstructured data.
  • Predictive Modelling - Development of models using appropriate predictive analytics techniques
  • Model Documentation - Clear and Detailed Documentation of the modelling procedures.
  • Participate in various other analytics projects and work on ad-hoc requests relating to data extractions and visualizations as per the client need

We are also looking for a go getter person who can define:

  • Analytic strategies to meet the demands of business requirements
  • Technical requirements of the analytic solutions
  • Data requirements of the analytic solution processes
  • The person will be part of the Data Science team for a major Insurance client. He/ She will work with different stakeholders as SME for data science
  • Engages in technical problem solving across multiple technologies; often needs to develop new solutions
  • A suitable candidate should have 7-12 years of experience in a similar role and should possess a go -getter attitude. He/ She should be able to deal with ambiguity
  • Experience in insurance preferred but not mandatory.
  • Personal Qualifications

    • Deep understanding of Analytics
    • Strong communicator and team player. Should have experience in client interactions.

    Required Education and Skills

    • Academic Background in Science (Mathematics, Physics, Engineering, Statistics, Economics, Actuarial Science etc.)
    • Strong IT skills - Hands on experience in Machine Learning, Data Analysis and Data Preparation tools like Python, Pyspark, SQL, and good knowledge in advanced analytics / Machine learning / statistical / data mining / Text mining techniques in Regression or classification

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    EXL

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    12 days ago

    Launch Your Global Career: AI, ML & Data Science Internship for Future Innovators

    About the Opportunity

    Are you eager to shape the future of technology? Join our international internship program and immerse yourself in the world of Artificial Intelligence, Machine Learning, and Data Science. This unique experience is designed for ambitious students and researchers ready to develop cutting-edge skills and make a real impact.

    What You'll Experience

    • Skill-Building Phase:
    • Begin your journey by mastering the fundamentals of AI, ML, and Data Science through interactive training and mentorship.
    • Project Phase:
    • Collaborate on real-world engineering projects, applying your knowledge to solve genuine challenges. Top performers may receive monthly stipends of up to INR 36,000.

    International Exposure

    • Outstanding interns may be invited to contribute to global projects with teams based in the USA and Europe.
    • Compensation for these opportunities can range from $1,000 to $3,000 per month, depending on your role and performance.

    Flexible Pathways

    • Apply based on merit or opt for our Learn and Earn track.
    • Detailed program structure and enrollment options will be shared after registration.

    Who Should Apply

    • Students and researchers are currently enrolled in BTech, MTech, MSc, or PhD programs in STEM fields.
    • We invite applications from individuals of all backgrounds and nationalities within India.

    Why Join Us?

    • Gain hands-on experience with the latest technologies.
    • Work alongside international experts and peers.
    • Open doors to global career opportunities and professional growth.

    Ready to Ignite Your Future?

    Take the next step in your journey- apply now and become part of a vibrant community of future tech leaders!

    We are committed to creating an inclusive environment for all applicants. All qualified individuals will be considered for this program.

    Applications are reviewed on a rolling basis. Early applications are encouraged!

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    Disruptive Research Engineering Assisted Design Private Limited

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    12 days ago