Bangalore · Real data · Updated May 2026

Data Scientist Salary in Bangalore (2026): By Experience & Company

Q: What is the average data scientist salary in Bangalore?

The average data scientist salary in Bangalore is ₹38L at mid-level (2–5 YoE) — approximately 19% above the national median of ₹32L. Junior data scientists at Bangalore product companies earn ₹12–22L. Senior data scientists at unicorns and FAANG earn ₹60–120L. The FAANG premium is most pronounced at the senior level: Google/Microsoft senior DS earns ₹80–125L vs ₹50–70L at equivalent unicorn roles.

Q: Which companies hire the most data scientists in Bangalore?

Amazon (Alexa, Ads ML), Google India, Microsoft (Microsoft Research India), Swiggy, Meesho, Razorpay, PhonePe, and Flipkart are the largest employers of data scientists in Bangalore. AI-native startups like Sarvam AI and Krutrim are fast-growing. In 2026, fintech (Razorpay, CRED, PhonePe) and consumer internet (Swiggy, Meesho, Flipkart) are the highest-hiring sectors for production ML and data science roles.

Q: Is Bangalore better than Hyderabad for a data science career?

Yes, for most data scientists at mid and senior levels. Bangalore has a 15–20% higher median DS salary than Hyderabad, and significantly more product company DS roles (especially FAANG and Indian unicorns). Hyderabad has Microsoft India's largest campus and some Amazon ML work, but the density of senior DS roles and production ML exposure is much lower. For entry-level, the difference is smaller — Hyderabad-based freshers can get good experience at Microsoft or Amazon before transitioning.

Q: What is the salary range for data scientists at Google India (Bangalore)?

Google India (Bangalore) pays data scientists ₹30–50L at junior levels (L4), ₹50–80L at mid-level (L5), and ₹80–125L+ at senior levels (L6). Principal/Distinguished DS roles (L7+) can exceed ₹155L with RSU. Google also pays a significant RSU component that vests over 4 years, making total compensation 20–40% above base for senior engineers. Competition for Google DS roles is intense — research publications and strong ML implementation skills are typical requirements.

Q: Do I need a PhD to get a senior data scientist job in Bangalore?

Not for most senior DS roles. The majority of senior data scientists at Bangalore unicorns (Swiggy, Meesho, Razorpay) have a B.Tech or M.Tech background with 5–8 years of production ML experience. A PhD is advantageous for FAANG research tracks (Google Research, Microsoft Research India) and roles involving novel model development. For applied ML and production DS roles — which constitute 80%+ of senior DS openings in Bangalore — strong production skills and a track record of deployed models matter more than academic credentials.

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.

₹38L

Bangalore Median

+19%

vs National

₹32L

India Median

₹10L–₹155L

Full Range

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%.

Data Scientist salary in Bangalore by experience band, showing the median and the 25th to 75th percentile range for each band — Data Scientist pay in Bangalore, by experience band. The bar spans the middle 50% of the market, the rule marks the median, and the dashed tick marks the 90th percentile. Same figures as the table below.

Junior DS (0–2 yr)

P25₹10L

Median₹15L

P75₹22L

P90₹32L

IIT/NIT/IISc grads get ₹18–28L at product companies. Service company DS starts at ₹8–12L.

Mid-level DS (2–5 yr)

P25₹24L

Median₹38L

P75₹58L

P90₹80L

Production ML experience unlocks top of range. FAANG DS at ₹55–80L; unicorns at ₹35–60L.

Senior DS (5–8 yr)

P25₹50L

Median₹72L

P75₹100L

P90₹125L

Staff-adjacent. LLM and MLOps ownership. FAANG senior DS at ₹80–125L.

Principal DS (8+ yr)

P25₹80L

Median₹110L

P75₹135L

P90₹155L

AI/ML leadership. Cross-org model governance. Research publications a differentiator for FAANG.

Experience Band	P25	Median ↑	P75	P90	Context
Junior DS (0–2 yr)	₹10L	₹15L	₹22L	₹32L	IIT/NIT/IISc grads get ₹18–28L at product companies. Service company DS starts at ₹8–12L.
Mid-level DS (2–5 yr)	₹24L	₹38L	₹58L	₹80L	Production ML experience unlocks top of range. FAANG DS at ₹55–80L; unicorns at ₹35–60L.
Senior DS (5–8 yr)	₹50L	₹72L	₹100L	₹125L	Staff-adjacent. LLM and MLOps ownership. FAANG senior DS at ₹80–125L.
Principal DS (8+ yr)	₹80L	₹110L	₹135L	₹155L	AI/ML leadership. Cross-org model governance. Research publications a differentiator for FAANG.

Top Companies Hiring Data Scientists in Bangalore

Companies actively recruiting for this role in Bangalore, with indicative salary ranges by level.

Google India (AI/ML)FAANG

Junior to Principal DS₹30L–₹155L+

Largest ML team in India. Research + applied ML. PhD fast-tracks to L6+.

Microsoft Research IndiaFAANG/Research

Research to Principal₹35L–₹130L+

Bangalore campus. Research-oriented. Publishes at NeurIPS, ICML. Rare PhD track.

Amazon (Alexa, Ads ML)FAANG

L4 to L7₹22L–₹110L+

Multiple ML teams. Recommendation, NLP, forecasting. RSU-heavy comp.

Swiggy (Data Science)Unicorn

DS-1 to Principal₹20L–₹85L

Demand forecasting, recommendation, ETA prediction. Production ML at 10M+ order scale.

Meesho (AI/ML)Unicorn

DS-2 to Staff₹25L–₹90L

Ranking, personalisation, fraud. High growth trajectory. ESOP upside.

Razorpay (Risk & ML)Fintech

DS-1 to Senior₹18L–₹70L

Fraud detection, credit scoring, transaction anomaly. High-stakes ML in production.

Sarvam AIAI Startup

Research to Staff MLE₹25L–₹95L

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

1 BHK (near tech hubs)₹22,000–₹35,000/mo

2 BHK (near tech hubs)₹38,000–₹55,000/mo

Best Neighbourhoods

KoramangalaHSR LayoutIndiranagarWhitefieldBellandur

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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