The India median is US$31,983 per year.
Showing amounts in USD (USD default; source data is INR). FX as of Sun, 01 Nov 2026 00:02:31 +0000. Convert currencies
Data Scientists in India earn a national median of ₹30,40,000 (₹2,53,300 a month, roughly ₹1,462 an hour on a 2,080-hour year).
The closest technology peer is devops engineer at ₹28,50,000, so a data scientist earns 6.7% more at the national median in India.
India is 9th of 9 countries for this role once medians are converted at the same exchange rate (US$32,000). Brazil pays 19% more (₹36,11,094 at today's rate). The gap between the highest and lowest market is 3.8×.
That median is about 11.8× GDP per person (US$2,700, World Bank 2025). That is a rough sign of how far the role pays above the average national income.
| # | Country | Median (USD) | In INR | vs India |
|---|---|---|---|---|
| 8 |  Brazil | US$38,000 | ₹36,11,094 | +19% |
| 9 |  India | US$32,000 | ₹30,40,000 | — |
If a remote employer paid the U.S. median for the same job (US$120,000), that would be about ₹1,14,06,009, 3.75× the local median. Location-adjusted remote offers usually land between the two.
Using our take-home calculator for India, the ₹30,40,000 median loses income tax ₹4,88,280 and EPF ₹21,600, leaving ₹25,30,120 a year or ₹2,10,843 a month. Total deductions: 17% of gross.
Consumer prices in India rose 2.4% in 2025 (World Bank). Matching that on the ₹30,40,000 median takes a raise of about ₹72,960.
Unemployment was 4.2% of the labour force in 2025.
Figures are estimates, updated 2026-11-01. See our methodology for sources and limitations.