knok jobradar · liveUpdated 2026-07-09

Data Scientist Jobs in Pune

Data Scientist Jobs in Pune - live data, real salary bands, top employers, and practical tips for job seekers in India. Updated regularly by knok.

See which of these jobs match your resume

Data Scientist market · Pune

knok jobradar · 2026-07-06
Open roles tracked
0
Data Scientist listings, Pune
Typical band est
₹14–32LPA
Commonly-cited range — listings rarely disclose
Top employer now
Zensar
2 open roles right now
Deepest market
0
Bangalore — #1 by openings

Openings by city observed · reliable

Bangalore
0
Delhi NCR
0
Hyderabad
0
Mumbai
0
Pune
0
Chennai
0

Top employers hiring live · deduplicated

CompanyOpen roles
Zensar2
Pubmatic1
UsefulBI1
Roche1
Kaleidofin1
EXL Service1
Deepintent1
Salary by experience commonly-cited India bands · Data Scientist
₹8–16 LPA
Entry (0–2y)
₹18–30 LPA
Mid (3–5y)
₹30–48 LPA
Senior (6–9y)
₹45–70+ LPA
Lead/Principal
Openings are observed facts from knok's nightly scan. Salary bands are commonly-cited market context, not employer-disclosed — shift at the offer stage.
01 Market Snapshot

Market Snapshot

knok currently indexes 14 open Data Scientist roles in Pune (from 81,095 total India/global postings in our scan). Hiring is active across startups, GCCs, and large tech — updated 2026-07-09. Candidates who apply within 48 hours of a fresh posting see materially higher response rates.

02 Open Roles Right Now

Open Roles Right Now

10 live roles · updated nightly · links to original postings

  • KSenior Data ScientistKaleidofin · PuneInstahyreApply →
  • UAI / ML Engineer - GenAIUsefulBI · Bangalore,Lucknow,PuneInstahyreApply →
  • ZSenior Data Scientist – AI/ML & Generative AIZensar · Pune, Maharashtra, IndiaOracleApply →
  • DData ScientistDeepintent · PuneInstahyreApply →
  • ZSr. AI / ML Engineer – OpenAI ExpertZensar · Pune, Maharashtra, IndiaOracleApply →
  • CSenior Data ScientistCornerstone · Pune, INCornerstoneApply →
  • EData ScientistEXL Service · Pune, Maharashtra, IndiaOracleApply →
  • RAI Data Scientist - Applied AIRoche · Pune, Mahārāshtra, IndiaPhenomApply →
  • BSenior ML Engineer, Production ML & Data EngineeringBMW TechWorks India · India>Maharashtra>Pune>PunePeoplestrongApply →
  • PSenior Machine Learning EngineerPubmatic · Pune, INGreenhouseApply →
03 Top Employers

Top Employers

14 matching Data Scientist roles are live in Pune right now. The companies posting the most openings:

  • Zensar — 2 open Data Scientist roles
  • UsefulBI — 1 open Data Scientist role
  • Roche — 1 open Data Scientist role
  • Pubmatic — 1 open Data Scientist role
  • Kaleidofin — 1 open Data Scientist role
  • EXL Service — 1 open Data Scientist role
  • Deepintent — 1 open Data Scientist role
  • Cornerstone — 1 open Data Scientist role
  • BMW TechWorks India — 1 open Data Scientist role

Coverage spans product startups, GCCs, and enterprise tech — so you can weigh equity upside against base stability. Browse the live listings below, or filter on Instahyre, Cutshort, and LinkedIn for 'Data Scientist' in Pune.

04 Salary Range

Salary Range

Indicative Data Scientist compensation in Pune (2026, fixed + variable):

  • Entry (0–2 yrs): 7–13 LPA
  • Mid (3–5 yrs): 16–26 LPA
  • Senior (6–9 yrs): 28–42 LPA
  • Lead/Staff (10+ yrs): 38–55+ LPA

Fewer than three postings in this filter disclose salary, so these bands are indicative — actual pay is set at the offer stage based on your level, interview performance, and competing offers.

05 How To Stand Out

How To Stand Out

Recruiters screening Data Scientist applicants in India look for:
1. Quantified impact — revenue, retention, latency, conversion, or cost saved.
2. Domain fit — fintech, commerce, or SaaS experience matching the employer.
3. Clear narrative — 3-line profile summary stating level, domain, and biggest win.
4. Referrals — warm intros 3× your response rate on LinkedIn cold outreach.
Tailor your resume keywords to each JD; ATS systems at Indian enterprises still filter heavily.

06 Application Strategy

Application Strategy

Run a disciplined pipeline:
- Week 1–2: Build a target list of 50 companies; shortlist 15 high-fit roles.
- Daily: 3–5 tailored applications with customised resume bullets.
- Track: Source, stage, recruiter name, and follow-up date in a spreadsheet or job-search agent.
- Follow up: Polite nudge 5–7 days after applying if no response.
Tools like knok can automate board scanning and first-draft tailoring so you focus on outreach and interviews.

Methodology

This page lists live openings from knok's job index (14 roles matching this search). Salary bands use disclosed CTC from indexed postings only (n=0). Employer rankings count open roles in our scan — not paid placements. Data refreshed 2026-07-06.

  • knok job index — 14 matching roles (snapshot 2026-07-06)
  • Zensar — 2 indexed openings
  • Pubmatic — 1 indexed openings
  • UsefulBI — 1 indexed openings
  • Roche — 1 indexed openings
  • Kaleidofin — 1 indexed openings

Editorial policy

Q Questions

Frequently asked

What Data Scientist salary should I expect in Pune?

Pay scales with experience: expect 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. Very few listings disclose salary upfront in India, so these bands are indicative rather than guaranteed. The real number is decided at the offer stage, so always confirm fixed base versus variable and ESOP before you accept.

Which companies hire the most Data Scientists in Pune?

Right now the most active hirers for Data Scientists in Pune include Zensar, UsefulBI, Roche, Pubmatic, and Kaleidofin. They split roughly into three buckets: GCCs (global capability centres) that offer a stable, high fixed base; product companies where you'll own outcomes end-to-end; and startups that trade lower base for equity and faster scope. Match the bucket to what you want from your next two years — stability, ownership, or upside.

How do I stand out when hundreds apply to each role?

Speed and specificity win. Apply within the first 48 hours of a posting, because recruiters often screen the earliest applicants before the pile grows. A warm referral roughly doubles your screen rate versus a cold application, so find an employee in your domain on LinkedIn and send a crisp three-line ask. Then mirror the job description's stack and keywords in your resume, tailoring the top bullets to each role rather than sending one generic version everywhere.

Are these job listings real and verified?

Yes. Every listing links out to the employer's original posting, and we never fabricate roles. A nightly liveness check re-crawls each posting and removes any that have expired or been filled, and near-duplicate posts across boards are merged so you don't see the same role five times. If a link is dead when you click it, it was almost certainly pulled after our last refresh.

How often is this list of openings updated?

The index refreshes daily (last updated 2026-07-09), so fresh Data Scientist postings surface within about a day and stale ones drop off. Because new roles appear constantly, it's worth checking back every few days rather than applying to everything in one sitting — the postings you apply to on day one are the ones with the least competition.

Should I apply even if I don't meet every requirement?

Usually yes. Most job descriptions list an idealised wish-list, and teams routinely hire candidates who clear the core requirements and roughly 60–70% of the rest. If you match the must-have stack and can show relevant impact, apply — but tailor your resume to foreground exactly the overlap so a recruiter sees the fit in their six-second scan.

The roles you'd actually get rarely reach the top of your feed.

Upload your resume once. knok searches 150+ job sites every night, applies where you have a real chance, and messages HR for you — so your time goes into interviews, not application forms.

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