– Strong and growing demand across banking, e‑commerce/retail, healthcare, and manufacturing.
– World Economic Forum projects ~54% growth in data/analyst roles between 2025–2030.
– Salaries vary widely by experience, skills, industry, company and city — from ~₹5 LPA for freshers to ₹35–80+ LPA for senior/principal roles.

– High demand: Significant hiring expected for data scientists, analysts and related roles.
– Key industries: Banking, retail & e‑commerce, healthcare, automotive & manufacturing.
– In‑demand roles: Machine Learning Engineer, AI Engineer, Data Engineer, Business Intelligence Analyst, aside from general Data Scientist positions.

– Entry level (0–1 year): ~₹5–7 LPA.
– Mid‑career (5–9 years): ~₹16 LPA (typical benchmark).
– Senior (10+ years): ₹25 LPA and up.
– Top earners: Senior data scientists at leading companies: ₹35–50 LPA; principal/lead roles: ₹50–80+ LPA (NareshIT).

– Experience: Clear correlation between years of experience and pay.
– Skills: Specializations in machine learning, AI, big‑data engineering and production ML pipelines command premiums.
– Industry: Finance and large tech firms typically pay more than smaller firms or non‑tech sectors.
– Location: Metro hubs such as Gurgaon, Bengaluru and Mumbai tend to offer higher average compensation (Indeed, Glassdoor).
– Company: Large tech companies and major financial institutions offer more competitive packages and growth opportunities.

– Cities: Gurgaon, Bengaluru, Mumbai (highest average pay); other tech hubs also recruit actively.
– Employers: Leading tech firms, large banks/financial institutions, major e‑commerce players, healthcare analytics companies, and manufacturing firms with data/IIoT initiatives.