Data Scientist Jobs in Bangalore
Find data scientist openings in Bangalore: who's hiring, expected salary bands, and how to stand out in India's competitive market.
See which of these jobs match your resume →Market Snapshot
knok currently indexes 185 open Data Scientist roles in Bangalore (from 112,573 total India/global postings in our scan). Roles with disclosed pay cluster around 41–62.5 LPA (median ~50 LPA, n=5 postings). 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.
Open Roles Right Now
12 live roles · updated nightly · links to original postings
- OSenior Manager AI/ML EngineeringOptum · karnataka - bengaluruNaukriApply →
- USenior Data ScientistUptimeai · Bangalore (India)AshbyApply →
- UData Scientist -Full-Stack EngineeringUptimeai · Bangalore (India)AshbyApply →
- MPrincipal Data ScientistMicrosoft · India, Karnataka, BangaloreEightfoldApply →
- WManager, Machine Learning EngineeringWarner Bros Discovery · Bangalore, Karnātaka, IndiaPhenomApply →
- F
Data ScientistFlipkart · BangaloreInstahyreApply →
- K
Data Scientist - IIKhatabook · Bangalore, Karnataka, IndiaTurbohire40–42 LPAApply →
- ISenior Data ScientistInito · Bengaluru, IndiaKekaApply →
- ZSenior ML EngineerZenskar · BangaloreInstahyreApply →
- ISenior Data Scientist (Gen AI)IDFC First Bank · Bangalore,MumbaiInstahyreApply →
- WAI / ML EngineerWaayuPay · BangaloreInstahyreApply →
- XData ScientistXCaliber Health · BangaloreInstahyreApply →
Top Employers
185 matching Data Scientist roles are live in Bangalore right now. The companies posting the most openings:
- Satsure — 5 open Data Scientist roles
- Sarvam AI — 5 open Data Scientist roles
- Navi — 5 open Data Scientist roles
- Lendingkart — 5 open Data Scientist roles
- Warner Bros Discovery — 4 open Data Scientist roles
- Oolka — 4 open Data Scientist roles
- Nielsen — 4 open Data Scientist roles
- IDFC First Bank — 4 open Data Scientist roles
- Hackerrank — 4 open Data Scientist roles
- Bosch Group — 4 open Data Scientist roles
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 Bangalore.
Salary Range
Live salary data from 5 Data Scientist postings in Bangalore that disclosed CTC (knok index, 2026-07-09):
- P25 (25th percentile): 41 LPA
- Median: 50 LPA
- P75 (75th percentile): 62.5 LPA
- Range (min–max): 41.6–57.8 LPA
Most listings don't disclose pay, so treat these as a reference point, not a guarantee. Equity and joining bonuses can add 10–30% at startups; GCCs often pay a higher fixed base with less equity upside.
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.
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.
This page lists live openings from knok's job index (185 roles matching this search). Salary bands use disclosed CTC from indexed postings only (n=5). Employer rankings count open roles in our scan — not paid placements. Data refreshed 2026-07-09.
- knok job index — 185 matching roles (snapshot 2026-07-09)
- Disclosed salary postings — 5 listings with CTC data in this filter
- satsure — 5 indexed openings
- sarvam — 5 indexed openings
- navi — 5 indexed openings
- lendingkart — 5 indexed openings
- Warner Bros Discovery — 4 indexed openings
Frequently asked
What Data Scientist salary should I expect in Bangalore?
Postings on this page that disclosed CTC cluster around a median of 50 LPA (P25 41, P75 62.5), based on 5 live listings. Broadly, 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. Most listings don't publish pay, so treat these as reference points — the actual number is set at the offer stage based on your level and competing offers.
Which companies hire the most Data Scientists in Bangalore?
Right now the most active hirers for Data Scientists in Bangalore include Satsure, Sarvam AI, Navi, Lendingkart, and Warner Bros Discovery. 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.