Top Companies Hiring Data Scientists in India 2026 — Salaries & What They Look For

India's data science hiring market in 2026

Data science hiring in India in 2026 is both more selective and better-compensating than in previous years. The initial "anyone with a Python course can get a DS job" era is over. Employers in 2026 want demonstrated project work, domain knowledge, and increasingly, a credible institutional credential. The good news: companies are hiring more data scientists than ever, and compensation at the senior level has continued to rise. Here are the top hiring companies and what they actually look for.

Top e-commerce and tech companies hiring DS in India

Amazon India: One of India's largest DS employers. Roles span recommendation systems, demand forecasting, fraud detection, pricing optimisation and supply chain analytics. Amazon India interviews are highly technical — expect coding rounds, ML system design and statistics. Salaries: ₹20–60L+ depending on level. The bar is high — IIT credentials, strong LeetCode preparation and a portfolio of ML projects significantly improve selection odds.

Flipkart: Strong DS culture built around catalogue intelligence, search ranking, recommendation and logistics optimisation. Similar technical bar to Amazon. IIT graduates with GenAI or search/ranking experience are particularly valued. Salaries: ₹18–50L.

Swiggy and Zomato: Food delivery platforms have sophisticated DS teams working on delivery time prediction, demand forecasting, dynamic pricing and restaurant ranking. Swiggy in particular has a strong ML platform team. Salaries: ₹15–40L.

Top BFSI companies hiring DS in India

HDFC Bank: India's largest private bank has one of the most mature DS teams in the country. Focus areas: credit scoring, fraud detection, customer analytics, NLP for customer service. Strongly prefers candidates with banking domain knowledge alongside DS skills. Salaries: ₹15–35L.

Razorpay: Leading fintech with sophisticated fraud detection, risk scoring and transaction analytics. Startup culture with higher equity component. Salaries: ₹20–50L. Values ownership and scrappiness alongside technical skills.

ICICI Bank, Axis Bank, Bajaj Finance: All have growing DS teams focused on credit risk, customer analytics and product personalisation. Salaries: ₹12–30L. Less competitive hiring bar than Razorpay or HDFC's core DS teams.

IT services companies hiring DS

TCS, Infosys, Wipro and HCL all have large data science practices serving global clients. The work is typically consulting-style — building DS solutions for enterprise clients across industries. Salaries are lower than product companies (₹8–20L) but the breadth of exposure across industries is valuable for early career professionals. These companies actively recruit for DS roles and provide structured training programs.

What top companies look for — common requirements

• Technical skills: Python (pandas, scikit-learn, PyTorch/TensorFlow), SQL, ML fundamentals, at least one specialisation (NLP, computer vision, GenAI, time series)
• Projects: 2–3 real ML projects on GitHub with documentation. Kaggle competition experience is a bonus.
• Credentials: IIT/IIM certificates are not mandatory but help significantly with resume shortlisting at top companies
• Domain knowledge: BFSI companies want finance knowledge; e-commerce companies want product sense; healthcare companies want some clinical context
• Communication: Ability to explain model results to non-technical stakeholders — often tested in case-based interviews

For the strongest credentialing path in India's DS job market, explore our full list of IIT and IIM data science programs and our program comparison tool.