Data Scientist

A professional who builds predictive models that drive business decisions.

What is Data Scientist?

A Data Scientist combines statistics, ML, and engineering to extract insight and predictions from data. The role bridges research (what model to build) and engineering (how to ship it). In 2026 Indian product companies, the role increasingly includes MLOps responsibility — deploying and monitoring models, not just training them.

Day-to-day work varies by company stage. At early startups, a Data Scientist often does the work of three: data engineering, modelling, and dashboarding. At larger companies, the role specialises — a "Data Scientist" might focus purely on causal analysis or experimentation while ML Engineers handle production.

Salary in India 2026: ₹6–18 LPA at entry, ₹22–35 LPA at senior, ₹40–60 LPA at lead, ₹70 LPA – ₹1.5 Cr+ at principal. Top employers include Razorpay, Fractal, Tredence, Goldman Sachs, Bank of America, LatentView.

Why this matters

Data Scientist is one of the top-paying entry-level tech roles in India in 2026. It is also the most-applied-to track in our paid cohorts.

Real-world example (India)

A Senior Data Scientist at Razorpay owns the credit-risk model from problem framing through production monitoring. The model approves ₹500 Crore in small-business loans per quarter — making the Data Scientist directly responsible for revenue.