Data Scientist Salary in Pune (2026)

The honest starting point: most Data Scientist job listings in India do not show a salary figure. Recruiters prefer to 'discuss compensation later,' which puts you at a disadvantage when you walk into a negotiation without knowing the market band.

Knok's jobradar tracked 18 active Data Scientist openings in Pune as of July 2026. The figures below draw from listings that did disclose pay, combined with publicly reported industry surveys and platforms like Glassdoor. Treat them as informed benchmarks rather than guarantees, and always cross-check against the specific company you are interviewing with.

Pune sits in the mid-tier of Indian tech cities for Data Scientist compensation. Bangalore sets the ceiling nationally, but Pune's lower cost of living and typically shorter commutes mean your in-hand salary often stretches further here than the same LPA figure would in Whitefield or Andheri.

Your years of hands-on experience drive your band more than almost anything else in Data Science hiring. Specialisations and business impact matter, but experience is the primary gate.

Entry level (0-2 years) typically lands in the 8-16 LPA band. Freshers from strong programmes or with a solid Kaggle or GitHub portfolio can aim for the upper portion of that range. Mid-level professionals (3-5 years) who own a model end to end, from data cleaning to production deployment, tend to command 18-30 LPA, especially when they can show measurable business outcomes rather than just technical output. Senior Data Scientists (6-9 years) who lead cross-functional projects and mentor junior team members can target 30-48 LPA. Lead and Principal roles blur into titles like Head of Data Science or Staff Scientist and commonly reach 45-70+ LPA, with equity forming a meaningful share of total compensation at that level.

Pune had 18 active Data Scientist listings in knok's July 2026 snapshot. Here is how hiring volume compares across the major Indian tech cities.

Bangalore leads by a wide margin at 166 listings, and publicly reported data on levels.fyi consistently shows it has the highest salary ceiling in the country for this role. Delhi NCR is second at 46 openings, driven largely by analytics teams at large conglomerates and government-adjacent firms. Hyderabad at 27 has grown fast, with several MNCs expanding their data and AI centres of excellence there. Pune and Mumbai are close in volume. Pune's openings lean toward manufacturing analytics, automotive tech, and BFSI firms with R&D presence in the city. Chennai at 8 has fewer openings but salaries can be competitive for the roles that do exist. If you are open to relocation, Bangalore gives you both far more options and stronger leverage when negotiating.

Most candidates accept the first number they hear. That single habit costs mid-level professionals meaningful money every year. A few things that actually shift the outcome:

Research the band before any call. Check Glassdoor and levels.fyi for the specific company and role. Walk into the conversation knowing the range, not guessing it.

Let the recruiter name a number first. When asked for your salary expectation, it is completely reasonable to say 'I would like to understand the band for this role before I share a number.' Many recruiters will share it when you ask this way.

Counter with data, not personal need. 'Based on Glassdoor data for similar roles in Pune and my experience leading production ML projects, I am targeting X' lands better than 'I need more because of my expenses.'

Negotiate beyond base pay. If the base is fixed, push on joining bonus, variable payout percentage, remote work days, stock options, or an earlier performance review date. Asking 'can we revisit salary at the six-month mark if I hit specific targets?' sometimes gets a yes.

Get the written offer before you resign. Verbal confirmations have disappeared before the paperwork arrived. Wait for the formal letter.

Stay polite even if you decline. Pune's Data Science hiring circles are smaller than Bangalore's, and a courteous note keeps the door open for later.

The LPA headline in a job posting is almost never what lands in your account each month. A typical Data Scientist offer in Pune includes several components worth understanding before you compare offers.

Fixed base salary is the guaranteed portion and the number you should compare across offers on an apples-to-apples basis.

Variable pay or performance bonus is commonly cited as 10-20% of base for individual contributors in technology roles, according to industry surveys, but the actual payout depends on both company performance and your individual rating. Always ask: 'What was the average payout percentage for this band last year?'

ESOPs or RSUs are increasingly common at mid-size Pune product companies and startups. The vesting schedule matters as much as the grant value. A four-year vest with a one-year cliff means you receive nothing if you leave before completing twelve months.

Gratuity is a statutory benefit that pays out only after five continuous years of service. It is not immediately liquid but adds up meaningfully if you stay long-term.

Provident Fund (PF) involves contributions from both you and your employer. Many candidates mentally subtract their PF share from in-hand pay, but factor the employer contribution back in when comparing total CTC across offers.

Benefits and perks vary widely. Health insurance with solid family coverage, a meal card, cab allowance, and a learning and development budget add real value beyond the salary line. Compare offers on monthly in-hand plus the annualised expected value of variable pay and equity, not on the headline CTC alone.

Knok checks 150+ job sites nightly, applies to roles matching your resume, and messages HR on your behalf, so you can run parallel processes across multiple companies rather than betting everything on a single offer.