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
Senior Data Scientist
Senior Data Scientist builds predictive models and AI solutions for banking clients, focusing on wealth management and retail banking using Python, SQL, and cloud platforms.
Data Scientist
Build and deploy ML/LLM systems for personalization and teacher support in an edtech startup, owning the full lifecycle from modeling to deployment and monitoring.
Director Data Science
Lead a data-science team to design and deliver AI/ML solutions for enterprise clients, blending hands-on modeling with client strategy and team management.
Associate Lead Data Scientist
Lead AI/ML engineering projects, building and deploying LLM applications with RAG pipelines and MLOps tooling.
Data Scientist
Build and deploy predictive models to optimize manufacturing processes using Python, R, and ML techniques; visualize insights for stakeholders with Power BI/Tableau.
Data Scientist
Build ML models (predictive, recommendation, anomaly detection) in Python/PySpark/SQL to solve business problems and mentor junior data scientists.
Staff Data Scientist (TLM)
Lead end-to-end development of optimization models for supply-chain decisions like warehouse routing, transportation, and inventory using LP/MIP/CP and AI-native workflows.
Data Scientist
Build and maintain AI-driven forecasting models for retail clients using Python, SQL, and time-series ML; deliver weekly forecasts, accuracy reports, and root-cause analyses.
Manager-Data Science
Manage data-science projects, build predictive models and ML pipelines, and translate analytics into business decisions for enterprise clients.
Lead Data Scientist (Mgr II)
Lead a team building AI-driven tools for eBay sellers, including price guidance and image-to-text listing automation, using LLMs/VLMs and SQL/Python to optimize catalogs and search.
Lead Data Science Consultant
Lead a team to build and deploy advanced data-science models (Python, SQL, GCP) that turn banking data into actionable insights for strategic decisions.
Sr Advanced Data Scientist
As a Sr Advanced Data Scientist here at Honeywell, you will be responsible for providing technical insight and acting as the subject matter expert in machine learning, statistical modeling, and data analysis projects.…
Data Scientist - QA Automation
Build and automate data pipelines, train ML models, and deliver analytics insights to improve risk controls and operational efficiency for a large bank.
Associate Director, Clinical Data Scientist
Lead clinical data science strategy for drug development, applying AI/ML and advanced analytics to clinical trial data, biomarkers, and real-world evidence to inform regulatory decisions.
Sr Advanced Data Scientist
As a Sr Advanced Data Scientist here at Honeywell, you will be responsible for providing technical insight and acting as the subject matter expert in machine learning, statistical modeling, and data analysis projects.…
Sr Advanced Data Scientist
As a Sr Advanced Data Scientist here at Honeywell, you will be responsible for providing technical insight and acting as the subject matter expert in machine learning, statistical modeling, and data analysis projects.…
Staff Data Scientist, Supply Chain Operations Research
Lead end-to-end development of optimization models for warehouse routing, transportation, and inventory to cut supply-chain costs at this DTC fashion retailer using LP/MIP, vehicle routing, and AI-native workflows.