Data Scientist Salary in India (2026)
Data Scientist salary in India for 2026 - real pay bands by experience level, what companies actually offer, how to negotiate, and live openings. Data-backed
See which of these jobs match your resume →Data Scientist market · Bangalore
Openings by city observed · reliable
Top employers hiring live · deduplicated
| Company | Open roles |
|---|---|
| Satsure | 5 |
| Sarvam AI | 5 |
| Navi | 5 |
| Lendingkart | 5 |
| Nielsen | 5 |
| Bosch Group | 5 |
| Ansrsource | 5 |
Salary Overview
Data Scientist compensation in India varies by city, company stage, and whether the role is product, platform, or growth-focused. Fixed pay is quoted in LPA (lakhs per annum); variable pay and ESOPs are common at startups. Always clarify fixed vs CTC before negotiating.
By Experience Level
| Level | Typical fixed (LPA) |
|---|---|
| Entry | 7-13 LPA |
| Mid | 16-26 LPA |
| Senior | 28-42 LPA |
| Lead+ | 38-55+ LPA |
Live index (India, n=4): P25 31 · median 50 · P75 62.5 LPA
By City
Bangalore / Hyderabad: Highest volume of tech roles; senior Data Scientist bands at top of range.
Mumbai / Delhi NCR: Strong fintech and consumer; premiums for leadership roles.
Pune / Chennai: GCC and enterprise SaaS; competitive base, lower equity upside.
Negotiation Tips
- Anchor with data from 3+ offers or trusted peers at the same level.
- Negotiate fixed first; treat variable and ESOP separately.
- Ask for signing bonus if base is capped.
- Get the offer letter with break-up (basic, HRA, PF) before resigning.
- If competing offers exist, share timelines, not numbers, to accelerate decisions.
Total Comp Breakdown
CTC typically includes: Basic, HRA, special allowance, PF employer contribution, gratuity provision, and projected variable. Ask for in-hand estimate after tax. ESOPs at startups may not appear in CTC, model dilution and vesting cliff separately.
Salary figures combine disclosed CTC from knok's indexed postings with level benchmarks for the India market. We quote fixed LPA unless noted; variable and ESOP are called out separately. Updated 2026-07-06. Not individual financial advice.
- knok job index, 166 matching roles (snapshot 2026-07-06)
- Satsure, 5 indexed openings
- Sarvam AI, 5 indexed openings
- Navi, 5 indexed openings
- Lendingkart, 5 indexed openings
- Nielsen, 5 indexed openings
- Indexed job postings with disclosed CTC
- Level benchmarks (IC vs lead) for India tech
Frequently asked
What is the average Data Scientist salary in India in 2026?
For a Data Scientist in India in 2026, pay scales with experience: entry (0-2 yrs) around 7-13 LPA, mid (3-5 yrs) around 16-26 LPA, senior (6-9 yrs) around 28-42 LPA, and lead/staff (10+ yrs) around 38-55+ LPA. These are fixed figures in LPA (lakhs per annum) and vary by city and company stage, Bangalore and Hyderabad usually top the range for tech IC roles. Startups add ESOPs on top, while GCCs lean towards a higher fixed base with less equity.
Should I negotiate fixed pay or variable first?
Always lock the fixed base first, because that's the number that compounds into future raises and your next offer. Treat variable pay and ESOPs as separate line items with their own vesting and payout conditions, and don't let a large 'total CTC' headline distract you from a modest fixed component. If the base is capped by a band, ask for a signing bonus to bridge the gap.
Is CTC the same as my in-hand salary?
No, and the gap is often larger than people expect. CTC bundles your fixed pay with the employer's PF contribution, gratuity provisions, and a projected (not guaranteed) variable component. Ask explicitly for an in-hand monthly estimate after tax and deductions, and request the offer letter with the full break-up, basic, HRA, PF, and allowances, before you resign anywhere.
How much do ESOPs actually add to my compensation?
At startups, equity can meaningfully boost total compensation, but it's the riskiest part of the package. ESOPs usually vest over four years with a one-year cliff, and their value depends on the company's exit and any future dilution. Model them separately from cash, understand the strike price and vesting schedule, and never accept a below-market base purely on the promise of equity.
When should I share my current or expected salary?
Hold off until you understand the role's scope and level, then share a researched range rather than a precise current number. Anchor the range to peers at your target level in the same city, using two or three data points from trusted contacts or offers. Sharing a range keeps you from anchoring the negotiation too low while signalling you've done your homework.
The best salary data is a competing offer.
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