Data Science Jobs in India
There are 1,006 open Data Science jobs in India on freehire right now. 205 of them were posted recently. The skills employers ask for most often are python, machine-learning and data-science.
Most requested skills
- python 83%
- machine-learning 83%
- data-science 79%
- ai 74%
- analytics 67%
- sql 58%
- statistics 54%
- cloud 49%
How the work is done
- Hybrid 180 · 18%
- Remote 75 · 7%
- Onsite 48 · 5%
Visa sponsorship offered in 28% of the 82 postings that state a position on it.
Seniority
- Senior 326
- Lead 76
- Principal 35
- Staff 24
- C-level 21
- Intern 10
Who is hiring
- 1000+ employees 311
- 501-1000 employees 68
- 51-200 employees 8
- 11-50 employees 2
Sr. Analyst, Data Science- Support
Build and improve demand-forecasting models using Python and SQL, collaborating with engineers and business teams to deploy multivariate algorithms and enhance supply-chain decisions.
Data Scientist
Build and refine AI/ML models for IoT, robotics, and optimization, using Python and frameworks like PyTorch/TensorFlow to drive predictive analytics and automation for digital products.
SC Data Science Leader
Leads data-science efforts to build and maintain demand-planning models, clean and analyze supply-chain data, and deliver weekly forecasts and dashboards for an automotive OEM.
SC Data Science Leader
Leads data science initiatives to build predictive models for demand planning, ensuring accurate forecasting and operational efficiency in supply chain logistics for an automotive-focused company.
Lead Data Scientist
Lead the development of AI-powered search models (LLMs, RAG, vector search) for Caterpillar’s eCommerce parts platform, optimizing relevance and personalization to improve customer experience.
Senior Data Scientist
Build and deploy AI/ML models for enterprise search, including ranking, semantic search, and generative AI features, to improve product discovery and user experience.
Data Scientist
Build predictive models and data pipelines to extract insights from large banking datasets, using Python, SQL, and ML techniques to drive decisions in risk, customer, and commercial domains.
Senior Data Scientist
Build advanced statistical and ML models to forecast drug demand and guide Amgen’s supply and commercial planning using Python, Bayesian methods, and time-series tools.
IN-Senior Associate_Data Scientist_D&A_Advisory_Hyderabad
Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on…
Data Scientist, AI Innovation
Build and deploy AI/ML models and agentic systems to automate finance workflows, generate insights, and improve decision-making using predictive analytics and generative AI.
Senior AI Engineer / Data Scientist (Agentic AI)
Builds and deploys autonomous AI agents, multi-agent systems, and generative AI solutions using frameworks like LangChain, AutoGen, and Azure OpenAI to automate enterprise workflows, enhance decision-making, and deliver scalable AI-driven business value.
Data Science & Analytics Associate
Build and maintain cloud-based data pipelines using AWS Glue, PySpark, and Snowflake to support enterprise analytics and reporting for a global climate-tech company.
Vice President, Data Science & Generative AI
Lead generative AI and fraud-detection models at a global bank, building LLM apps, prompt engineering, and RAG pipelines to cut fraud losses and false positives.
Computational Biology Data Scientist
Develops AI-driven predictive models for clinical trial data in computational biology, integrating multi-omic datasets (genomics, transcriptomics, proteomics) to advance precision medicine and drug development at Amgen.
Data Scientist
Senior Data Scientist at Citigroup in Bangalore builds predictive models and analyzes large datasets to improve business outcomes in areas like marketing, risk, or AML using SQL, statistical methods, and ML.
Data Scientist
Build and deploy AI/ML models to extract insights from complex datasets, then translate findings into business solutions using Python, Flask/Django, and cloud platforms like Azure/AWS.