Data Scientist Salary in Delhi NCR (2026)

Most Data Scientist job listings in India do not display a salary range. You find out the number only after spending time applying, clearing rounds, and waiting for an offer. The figures here come from knok jobradar, which tracked 46 active Data Scientist openings in Delhi NCR as of 8 July 2026.

Across those roles, pay ranges from 8 LPA at entry level to 70+ LPA for Lead and Principal positions. That spread is wide because the title 'Data Scientist' gets used loosely: it covers a fresher writing basic Python scripts and a senior professional building production ML systems at scale. Your experience, the tools you know, and the type of company (startup, IT services firm, or large MNC) all shift where you land in that range.

The sections below break the numbers down by experience level and by city so you can find the band that is realistic for your profile right now.

Here is how pay stacks up against experience, based on knok jobradar data for Delhi NCR.

Entry (8-16 LPA): At this stage, employers want to see that you can work with data end to end. Strong Python, a solid grasp of ML fundamentals, and at least one real project, whether an internship, a Kaggle competition, or a personal build, matter more than your college tier.

Mid (18-30 LPA): The jump from entry to mid is the most significant in the table. Once you can own a data problem independently from cleaning and feature engineering to model deployment and monitoring, your market value rises fast. Domain expertise in fintech, healthcare, or e-commerce pushes you toward the upper half of this band.

Senior (30-48 LPA): Senior Data Scientists are expected to make architectural decisions, mentor junior team members, and work closely with product and business stakeholders. Expertise in MLOps, model governance, or a niche like NLP or computer vision commands the top of this range.

Lead and Principal (45-70+ LPA): These roles shift from hands-on modelling to strategy, hiring, and cross-functional influence. The 70+ LPA figure applies to Principal Scientists at large product companies or senior positions at high-growth startups with strong ESOP packages.

Delhi NCR had 46 openings in the knok jobradar snapshot from 8 July 2026. Here is how that compares to other major cities.

Bangalore leads by a large margin, with more open roles than all the other listed cities combined. Its ecosystem of product companies, MNCs, and funded startups creates consistent demand for Data Scientists at all experience levels.

Delhi NCR holds second place. The demand here comes from government-adjacent tech firms, large IT services companies, a growing startup scene in Gurugram and Noida, and the Indian offices of global consulting firms.

If you are weighing a move, the numbers are clear: Bangalore offers significantly more options at any given time. On pay, publicly reported data on Glassdoor and levels.fyi suggest Bangalore and Hyderabad senior roles can skew higher than Delhi NCR for the same experience level, largely because product companies, which pay at the top of the market, are more concentrated there.

Know your band before any call. Walk into every salary conversation knowing the range for your experience level. For a mid-level Data Scientist in Delhi NCR, that is 18-30 LPA. Anchor your ask toward the upper half if your portfolio is strong or you bring domain expertise the team clearly needs.

Separate fixed pay from total CTC. Many companies structure CTC to include variable pay, retiral contributions, and allowances. Ask specifically: 'What is the fixed monthly salary, and what portion is variable or performance-linked?' Variable pay is never guaranteed and should not be treated the same as base.

Use a competing offer as leverage. A real, written competing offer is the strongest negotiating tool you have. If you have one, mention it professionally and early. Most companies will at least match it to close you.

Negotiate beyond the salary number. If a company is stuck on its salary budget, ask about a joining bonus to offset notice period loss, extra leaves, a faster first appraisal cycle, or remote work flexibility. These have real monetary and lifestyle value.

Time it right. Do not negotiate during the first HR screening call. Wait until after you receive the written offer letter. That is when your leverage is highest: they have chosen you, and switching to another candidate has a cost.

Get everything in writing. Verbal commitments about bonuses, appraisals, or role title upgrades are not enforceable. Confirm that anything promised is included in the offer letter before you sign.

A Data Scientist's CTC in India is rarely just one number. It is a bundle of components, and understanding each one is essential to comparing two offers accurately.

Fixed base salary is the predictable part: credited to your account every month before tax and PF deductions. This is the figure to anchor any negotiation on, and the one that determines your PF contribution.

Variable pay is a performance-linked component paid quarterly or annually, based on individual and company targets. The size varies widely by employer and the payout is never guaranteed. Always ask what portion of your CTC is variable before you accept an offer.

Stock options (ESOPs) appear mainly at startups and product-first companies. They vest over multiple years with a cliff period, meaning you lose them if you leave too early. ESOPs can add significant paper value but are illiquid until a buyback event, secondary sale, or IPO.

Retiral benefits include your Provident Fund contributions, which both you and your employer make each month from your basic salary. This is real money but locked until you meet the withdrawal criteria or complete the required service period.

Allowances cover HRA, Leave Travel Allowance, medical reimbursement, and internet or phone allowance in many companies. When structured correctly, these reduce your taxable income meaningfully. Always ask HR for an in-hand take-home estimate based on your tax slab, not just the CTC headline.

knok checks 150+ job sites nightly, applies to jobs that match your resume, and messages HR for you, so you spend your energy on interviews and offer negotiations rather than on manual applications.