Data Scientist Salary in Bangalore (2026): By Experience & Company
Bangalore is India's data science capital in 2026 — Google's AI research team, Microsoft Research India, Amazon's ML org, and the AI functions of every major Indian unicorn are based here. The median data scientist in Bangalore earns ₹38L, approximately 19% above the national median of ₹32L. But the real Bangalore advantage for data scientists is access to production ML at scale: roles here involve real recommendation systems, real fraud models, real LLM deployments — not pilot projects. This depth of work is what compounds into senior DS salaries of ₹80–155L that are simply not available elsewhere in India at the same density.
Key insight: Production ML skills (model deployment, feature stores, LLM fine-tuning) earn 30–40% more in Bangalore than equivalent research-oriented DS roles elsewhere. Bangalore's FAANG and unicorn ecosystem means the best production ML problems — and the best salaries — are concentrated here.
Data Scientist salary in Bangalore — key figures
- Junior DS (0–2 yr)
- ₹10L – ₹22L (₹15L)
- Mid-level DS (2–5 yr)
- ₹24L – ₹58L (₹38L)
- Senior DS (5–8 yr)
- ₹50L – ₹100L (₹72L)
- Principal DS (8+ yr)
- ₹80L – ₹135L (₹110L)
Source: Pathvio salary benchmarks · May 2026 · Annual CTC in INR · Bangalore
Data Scientist Salary by Experience in Bangalore
All figures are annual CTC in Indian Rupees. P25 = 25th percentile, Median = 50th, P75 = 75th, P90 = top 10%.
IIT/NIT/IISc grads get ₹18–28L at product companies. Service company DS starts at ₹8–12L.
Production ML experience unlocks top of range. FAANG DS at ₹55–80L; unicorns at ₹35–60L.
Staff-adjacent. LLM and MLOps ownership. FAANG senior DS at ₹80–125L.
AI/ML leadership. Cross-org model governance. Research publications a differentiator for FAANG.
| Experience Band | P25 | Median ↑ | P75 | P90 |
|---|---|---|---|---|
| Junior DS (0–2 yr) | ₹10L | ₹15L | ₹22L | ₹32L |
| Mid-level DS (2–5 yr) | ₹24L | ₹38L | ₹58L | ₹80L |
| Senior DS (5–8 yr) | ₹50L | ₹72L | ₹100L | ₹125L |
| Principal DS (8+ yr) | ₹80L | ₹110L | ₹135L | ₹155L |
Top Companies Hiring Data Scientists in Bangalore
Companies actively recruiting for this role in Bangalore, with indicative salary ranges by level.
Largest ML team in India. Research + applied ML. PhD fast-tracks to L6+.
Bangalore campus. Research-oriented. Publishes at NeurIPS, ICML. Rare PhD track.
Multiple ML teams. Recommendation, NLP, forecasting. RSU-heavy comp.
Demand forecasting, recommendation, ETA prediction. Production ML at 10M+ order scale.
Ranking, personalisation, fraud. High growth trajectory. ESOP upside.
Fraud detection, credit scoring, transaction anomaly. High-stakes ML in production.
India-specific LLMs. Early-stage with significant equity. Rare research + product mix.
Cost of Living in Bangalore for Tech Professionals
What your Data Scientist salary in Bangalore actually buys — rent, commute, and effective take-home.
Rental Market
Best Neighbourhoods
Effective Take-Home
At ₹38L CTC (median DS salary), in-hand is approximately ₹2.35L/month. After ₹28,000 for a 1BHK, ₹2.07L remains — comfortable by any Indian standard. At senior DS levels (₹70L+), in-hand exceeds ₹4.2L/month, making rent a small fraction of take-home.
Commute
Most data science teams are in central Bangalore (Koramangala, Indiranagar, Whitefield). Work-from-office requirements at Google/Microsoft are 3 days/week; unicorns vary between 2–5 days.
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