Data analyst salaries in India (2026)
The data analyst ladder is the most common entry point into a data career, and its pay is steady rather than explosive. Freshers land ₹3–6 LPA depending on skills and employer, mid-level analysts (3–6 years) earn ₹6–10 LPA, and senior analysts (7+ years) reach ₹15–25+ LPA.
The lever that moves this band is skill mix. Analysts who pair SQL and Python with real dashboards and a machine-learning basics layer consistently start at the top of the fresher range instead of the bottom.
Salary span by role — fresher to senior (₹ LPA, India 2026)
Bars show the full fresher-to-senior range. AI/ML specialisation pushes the top end far higher.
Scale: 0–90 ₹ LPA
Data scientist salaries in India (2026)
Data science pays a clear premium over analytics. Freshers range from ₹6–14 LPA — a wide band, because a candidate with real ML projects is worth far more than one with only coursework. Experienced data scientists with AI/ML specialisation earn ₹15–30 LPA.
A new top tier has appeared as data science and generative AI converge: 'AI data scientists' who can ship models into production now command ₹20–50 LPA.
ML and AI engineer salaries — where the money is
Machine-learning engineering is the highest-paying track for early-career talent. Freshers who arrive with PyTorch and real deep-learning projects start at ₹8–18 LPA at AI startups and product companies. Mid-level ML engineers (3–5 years) command ₹20–35 LPA, and FAANG-owned GCCs pay ₹25–80 LPA.
The single biggest salary multiplier in 2026 is LLM skill. LLM fine-tuning and RAG (retrieval-augmented generation) are the highest-paying ML skills in the country — engineers with hands-on LangChain, LlamaIndex, PEFT, and production LLM deployment earn ₹25–60 LPA at mid-level, and senior specialists with foundation-model depth reach ₹1–2 Cr in total compensation at top GCCs.
Mid-level pay by specialisation (₹ LPA, upper band)
LLM fine-tuning and RAG are the highest-paying ML specialisations in India in 2026.
What actually moves your number
Two factors explain most of the spread. First, location: Bengaluru and Gurgaon pay 15–20% above the national average, and Global Capability Centres (GCCs) generally pay above domestic IT services. Second, proof: a portfolio of shipped projects moves you up a full band far faster than years of experience alone.
If you're benchmarking your own offer, start from the role band above, add the city premium, then adjust for whether you can demonstrate production-grade work. That's the honest way to know if an offer is fair.