Data Scientist Salary in India 2026 (Fresher to 10+ Yrs)

Latest updates: May 2026 · Based on data from Instahyre’s internal hiring data across 8,000+ tech roles in 2025–26. We revise salary ranges periodically, typically after yearly appraisals.

Quick answer: The average data scientist salary in India in 2026 is ₹14–16 LPA. Freshers earn ₹6–10 LPA at most companies and ₹15–25 LPA at top product firms. Mid-level data scientists (3–6 years) earn ₹18–35 LPA. Senior data scientists earn ₹35–65 LPA. GenAI and LLM specialists earn 25–40% more than generalist data scientists, with senior LLM engineers at FAANG India crossing ₹1.5 crore salaries.

Every hiring cycle, our teams at Instahyre get flooded by such questions. If you’ve Googled “data scientist salary in India” in the last six months, you’ve probably seen numbers ranging from ₹4 LPA to ₹2 crore on the same page. But neither tells you anything useful on its own.

The real answer in 2026 depends on which side of a sharp dividing line you’re on — traditional data scientist roles are growing 8–12% YoY in pay, but AI, ML, and GenAI specialist roles are growing 25–40% YoY. A fresher with strong LLM project experience now earns more than a 3-year traditional data scientist with the same employer.

This is the most important salary trend in Indian tech today, and most articles miss it entirely.

In Instahyre’s salary guide series of articles about what tech talent earns in India, we break down what data scientists actually earn in India in 2026 by experience, city, company, and specialization. Plus, we explain the “GenAI premium” that’s reshaping the entire field.

TL;DR — The numbers, in one table

Experience	Traditional Data Scientist	AI / ML Engineer	GenAI / LLM Engineer
Fresher (0–1 yr)	₹6 – 10 LPA	₹8 – 14 LPA	₹10 – 18 LPA
Early career (2–4 yr)	₹12 – 22 LPA	₹16 – 30 LPA	₹22 – 40 LPA
Mid-level (5–7 yr)	₹22 – 38 LPA	₹30 – 55 LPA	₹40 – 70 LPA
Senior (8–12 yr)	₹38 – 60 LPA	₹55 – 90 LPA	₹70 LPA – 1.3 Cr
Staff / Principal (12+ yr)	₹60 LPA – 1 Cr	₹90 LPA – 1.5 Cr	₹1.2 – 2.5 Cr+

All figures are total compensation including base, variable, and equity. Numbers reflect Indian metro-city averages; tier-2 cities run 20–25% lower. FAANG India offers tend to sit at the top of each band.

The 2026 bifurcation: why this article splits salaries into three tracks

For most of the last decade, “data scientist” was a single job title that meant roughly the same thing everywhere — someone who builds predictive models, runs SQL queries, and presents insights to stakeholders. In 2026, that role has split into at least three distinct career tracks, and they pay very differently:

1. Traditional Data Scientist — Builds regression and classification models, owns business analytics, partners with product teams. Tools: Python, SQL, scikit-learn, Tableau. Pay growing 8–12% YoY.
2. ML Engineer — Builds production ML pipelines, owns model deployment and monitoring, works closer to the codebase than to dashboards. Tools: Python, PyTorch/TensorFlow, MLflow, Kubernetes. Pay growing 15–20% YoY.
3. GenAI / LLM Engineer — Builds applications on top of foundation models, fine-tunes LLMs, designs RAG and agentic systems. Tools: LangChain, LlamaIndex, vector DBs, OpenAI/Anthropic APIs. Pay growing 25–40% YoY.

A data scientist with 5 years of experience can sit in any of these three buckets — and a switch from bucket 1 to bucket 3 alone can drive a 60–80% salary jump without changing employers.

This is the single most actionable insight in this article: what you call yourself matters less than what you actually build, and the market is paying steep premiums for AI and LLM right now.

How is data scientist salary structured in India?

The typical data scientist offer in India includes:

1. Base salary — fixed monthly pay; everything else is calculated from this.
2. Variable pay / performance bonus — usually 10–20% of base; partially paid out based on individual + company performance.
3. Joining bonus — common in product companies and GCCs; almost always has a 12–24 month clawback.
4. Retention bonus — annual or milestone-based; clawback applies.
5. ESOPs / RSUs — especially heavy at FAANG India (RSUs) and Indian unicorns (ESOPs). At senior levels at FAANG, equity is 50–70% of total comp.

Recruiters usually quote your CTC (Cost to Company), but your monthly in-hand is roughly 60–70% of base salary depending on tax regime.

Quick reference for in-hand salary at common DS levels:

• ₹15 LPA CTC → ~₹95,000–1,05,000/month in-hand (new tax regime)
• ₹30 LPA CTC → ~₹1.85L/month in-hand
• ₹60 LPA CTC → ~₹3.4L/month in-hand
• ₹1 Cr CTC → ~₹5.5L/month in-hand (excluding RSU vesting)

Coming soon: Instahyre’s CTC to In-Hand Salary Calculator to compute the exact in-hand salary for your offer. You can also use it to calculate what to ask for in your interviews to make sure you get the in-hand amount you need from your new CTC!

Data scientist salary in India by experience

Fresher data scientist salary in India (0–1 year)

The fresher data science market in India is hyper-segmented, based on the skills i.e. tools you are adept at using. The bottom 25% of fresher offers and the top 25% are roughly 6–8x apart.

Profile	Typical fresher CTC
Service company / IT consulting (TCS, Infosys, Wipro DS roles)	₹4.5 – 7 LPA
Mid-tier analytics firms (Mu Sigma, Latentview, Fractal Junior)	₹7 – 12 LPA
Indian product companies / mid-tier unicorns	₹10 – 18 LPA
Top GCCs (Walmart, Target, Wells Fargo, JPMC)	₹15 – 25 LPA
FAANG India / top product (campus offers)	₹22 – 35 LPA
FAANG India + GenAI/ML internship + premier college	₹30 – 45 LPA

Why the gap is so large: Service companies hire data scientists in volume to staff client projects and bill them out at fixed rates. Product companies and FAANG hire selectively to own end-to-end ML systems that drive revenue, so they can afford 4–5x higher offers — but also reject 99% of applicants from the pool of software engineers in India.

If you’re a fresher reading this: Your single highest-leverage decision is your first job. Two freshers with identical degrees joining ₹5 LPA Infosys vs ₹25 LPA Microsoft will not be 5x apart for one year — they’ll be 5x apart for the next 5 years, because every subsequent offer is benchmarked against your current CTC.

Data scientist salary in India with 2–3 years of experience

This is the inflection point where most data scientists see their first major hike, typically by switching from a service/analytics firm to a product company or the new hot takes: GCCs.

Track	2 years	3 years
Stayed at IT services / analytics consultancy	₹7 – 11 LPA	₹10 – 15 LPA
Switched services → product company	₹16 – 28 LPA	₹22 – 35 LPA
Stayed at product company	₹16 – 26 LPA	₹22 – 35 LPA
At GCC (Walmart, Target, Goldman Sachs)	₹20 – 32 LPA	₹26 – 42 LPA
At FAANG India	₹28 – 42 LPA	₹35 – 55 LPA

A switch from a services firm to a product company at year 2–3 commonly results in a 70–120% salary jump. This is the biggest career-changing move in Indian data science.

Data scientist salary with 5 years of experience in India

At 5 years, you’re either a Senior Data Scientist or about to become one. The market expects you to own ML systems end-to-end, mentor juniors, and drive measurable business outcomes.

• Services / analytics consultancy: ₹14 – 22 LPA
• Indian product company / unicorn: ₹25 – 42 LPA
• GCC (mid-tier): ₹30 – 50 LPA
• GCC (Goldman Sachs, JPMC, Morgan Stanley): ₹40 – 65 LPA
• FAANG India L4: ₹50 – 80 LPA
• GenAI specialist at any of the above: add 30–40% to the band

If you have 5 years of experience and are still earning under ₹18 LPA in 2026, you’re meaningfully below market. The fastest fix is interviewing — even one offer from a product company will reset your benchmark.

Senior data scientist salary in India (8–12 years)

At this level, your title varies wildly across companies — Senior Data Scientist, Lead DS, Principal DS, Staff ML Engineer, Applied Scientist — and so does your pay.

• Senior DS at services firms: ₹22 – 38 LPA
• Senior DS at Indian product companies: ₹40 – 70 LPA
• Lead/Principal at GCCs: ₹55 LPA – 1 Cr
• Senior at FAANG India L5: ₹70 LPA – 1.3 Cr (RSU-heavy)
• Senior LLM/Foundation Model engineer: ₹90 LPA – 1.8 Cr
• DS founding team at funded AI startup: ₹35 – 60 LPA + 0.1–1% equity

Staff / Principal data scientist salary in India (12+ years)

The Staff+ DS / Applied Scientist track has exploded in compensation since 2023, partly because the LLM gold rush forced GCCs and unicorns to compete with each other for a tiny pool of senior ML talent.

• Staff DS at Indian unicorn: ₹65 LPA – 1.2 Cr
• Principal DS at Indian unicorn: ₹90 LPA – 1.6 Cr
• L6 / Staff Applied Scientist at Google India: ₹1.5 – 2.5 Cr
• L7 / Senior Staff at Google India: ₹2.5 – 4 Cr
• VP Data Science at funded startup: ₹1 – 2 Cr cash + meaningful equity

Data scientist salary in India by company

FAANG and top product company DS salaries in India

Company	Entry / DS-1 (L3)	Mid / DS-2 (L4)	Senior DS (L5)
Google	₹32 – 52 LPA	₹60 – 90 LPA	₹1 – 1.6 Cr
Microsoft	₹30 – 48 LPA	₹55 – 80 LPA	₹85 LPA – 1.4 Cr
Amazon (Applied Scientist)	₹28 – 45 LPA	₹52 – 78 LPA	₹85 LPA – 1.3 Cr
Meta	₹38 – 55 LPA	₹65 – 95 LPA	₹1.1 – 1.7 Cr
Apple	₹35 – 55 LPA	₹60 – 88 LPA	₹1 – 1.5 Cr
Netflix India	(rare)	₹80 LPA – 1.1 Cr	₹1.3 – 1.9 Cr
Uber Data Science	₹32 – 50 LPA	₹58 – 85 LPA	₹95 LPA – 1.4 Cr
Adobe	₹26 – 42 LPA	₹48 – 72 LPA	₹85 LPA – 1.3 Cr
Salesforce / ServiceNow	₹32 – 50 LPA	₹55 – 80 LPA	₹90 LPA – 1.4 Cr

Numbers are total compensation including base, target bonus, and 4-year-averaged RSU vest. Equity is 40–65% of total at L4 and above.

Indian product / unicorn data science salaries

Company	Fresher	Mid (3–5 yrs)	Senior (7–10 yrs)
Flipkart	₹16 – 24 LPA	₹28 – 48 LPA	₹55 LPA – 1.1 Cr
Razorpay	₹18 – 26 LPA	₹32 – 52 LPA	₹60 LPA – 1.1 Cr
PhonePe	₹18 – 26 LPA	₹32 – 55 LPA	₹60 LPA – 1.2 Cr
Swiggy	₹16 – 24 LPA	₹28 – 48 LPA	₹50 – 95 LPA
Zomato	₹16 – 24 LPA	₹28 – 48 LPA	₹50 – 95 LPA
CRED	₹22 – 30 LPA	₹35 – 60 LPA	₹65 LPA – 1.2 Cr
Zepto	₹20 – 28 LPA	₹32 – 55 LPA	₹60 LPA – 1.1 Cr
Meesho	₹16 – 22 LPA	₹28 – 45 LPA	₹50 – 90 LPA
Paytm	₹14 – 20 LPA	₹24 – 42 LPA	₹45 – 80 LPA

IT services / analytics consultancy DS salaries

Company	Fresher	3 yrs	5 yrs	8 yrs
TCS Data Science	₹4 – 6 LPA	₹6 – 10 LPA	₹10 – 16 LPA	₹18 – 28 LPA
Infosys / Wipro DS	₹4 – 6 LPA	₹6 – 10 LPA	₹10 – 16 LPA	₹18 – 28 LPA
Accenture DS	₹5 – 8 LPA	₹8 – 14 LPA	₹14 – 24 LPA	₹24 – 40 LPA
Deloitte / PwC AI	₹6 – 10 LPA	₹10 – 18 LPA	₹18 – 32 LPA	₹32 – 55 LPA
Mu Sigma	₹6 – 9 LPA	₹9 – 15 LPA	₹14 – 24 LPA	₹22 – 38 LPA
Fractal Analytics	₹7 – 11 LPA	₹12 – 20 LPA	₹18 – 32 LPA	₹30 – 52 LPA
Latentview	₹6 – 10 LPA	₹10 – 17 LPA	₹16 – 28 LPA	₹26 – 45 LPA

GCC (Global Capability Center) DS salaries — the under-discussed sweet spot

GCCs sit between Indian product companies and FAANG on compensation, with arguably the best work-life balance among the three. They’ve been the fastest-growing employer category for senior data scientists in 2025–26.

GCC	Mid (3–5 yrs)	Senior (7+ yrs)
Walmart Global Tech	₹28 – 50 LPA	₹60 LPA – 1.1 Cr
Target India	₹26 – 45 LPA	₹55 LPA – 1 Cr
JPMC India	₹30 – 52 LPA	₹62 LPA – 1.2 Cr
Goldman Sachs Bangalore	₹38 – 62 LPA	₹85 LPA – 1.6 Cr
Morgan Stanley	₹35 – 58 LPA	₹75 LPA – 1.4 Cr
Wells Fargo	₹26 – 45 LPA	₹52 – 95 LPA
American Express	₹30 – 50 LPA	₹60 LPA – 1.1 Cr
Standard Chartered GBS	₹26 – 44 LPA	₹50 – 90 LPA

Data scientist salary in India by city

City	Average DS salary	Notes
Bangalore	₹16 – 20 LPA	The benchmark. Largest concentration of GCCs, AI startups, and product companies.
Hyderabad	₹13 – 17 LPA	Microsoft, Amazon, Apple, Salesforce all have major DS teams. Best cost-to-salary ratio.
Pune	₹12 – 16 LPA	Strong in fintech and automotive ML; growing AI ecosystem.
Gurgaon / Noida (Delhi NCR)	₹13 – 17 LPA	Strong in fintech AI, e-commerce DS, IBM Research India.
Mumbai	₹12 – 16 LPA	Premium pay for fintech and BFSI ML roles.
Chennai	₹10 – 14 LPA	Strong in IT services, Zoho AI, manufacturing analytics.
Kochi / Coimbatore / Indore	₹7 – 11 LPA	Tier-2 markets; remote roles increasingly compete with metro pay.

Bangalore data scientist salaries are structurally higher because the city concentrates the type of work that pays the most: production ML at scale, foundation model research, and AI product engineering. A ₹40 LPA Hyderabad offer often has higher purchasing power than a ₹45 LPA Bangalore offer once cost of living is factored in.

The GenAI premium: what specialization is actually worth in 2026

This is where the data science market has moved most dramatically in the last 18 months. Specialization premiums are now larger than the gap between junior and mid-level roles in many cases.

Specialization	Premium over generalist DS	Why
Foundation Model Training (architecture, distributed training)	+60% to +100%	Single-digit engineers per GCC. Pure scarcity.
Post-Training / RLHF / DPO / SFT	+50% to +80%	Tiny supply, every AI lab building or fine-tuning is hiring.
LLM Application Engineering (RAG, agents, LangChain, LlamaIndex)	+30% to +50%	Most enterprise GenAI work today; demand is broadest here.
MLOps / LLMOps (production deployment of AI systems)	+25% to +45%	Most companies have models that don’t run reliably; this fixes that.
Computer Vision / Multimodal	+20% to +35%	Especially in autonomous, healthcare, and retail.
NLP (non-LLM)	+10% to +20%	Compressed slightly by GenAI-isation, but still in demand.
Time-series / forecasting	0 to +10%	Solid niche but not scarce.
Generalist DS with SQL + classical ML	-5% to baseline	The largest pool, hence baseline pricing.

GenAI / LLM engineer salary in India 2026

This deserves its own breakdown — it’s the highest-growth category in Indian tech this year.

• Fresher GenAI engineer: ₹10 – 18 LPA (mid-tier), ₹18–28 LPA (top product/GCC)
• 2–3 years GenAI: ₹22 – 40 LPA
• 5 years LLM/GenAI: ₹40 – 70 LPA
• Senior LLM engineer at GCC: ₹70 LPA – 1.3 Cr
• Staff LLM/Foundation Model engineer at FAANG India: ₹1.2 – 2.5 Cr

For comparison: a generalist data scientist with the same 5 years of experience would earn ₹22–38 LPA. The premium for moving into GenAI is roughly 80–100% at the same experience level — without changing employers in many cases.

MLOps / ML Platform engineer salary in India 2026

The unsung high-paying specialization. Companies have spent the last three years building ML and AI models that they cannot reliably run in production. MLOps engineers solve that problem.

• Fresher MLOps: ₹8 – 14 LPA
• 3–5 years MLOps: ₹25 – 45 LPA
• Senior MLOps / ML Platform: ₹50 – 90 LPA at GCCs and top product companies
• Staff ML Platform at FAANG India: ₹1 – 1.8 Cr

Data scientist vs ML engineer vs AI engineer vs data analyst — salary comparison

These job titles are used interchangeably in some companies and are wildly different in others. Recruiters hiring from Instahyre have told us about overlapping and interchangeable job titles.

Role	Typical mid-level salary (3–5 yrs)	Typical senior salary (7+ yrs)
Data Analyst	₹8 – 16 LPA	₹18 – 35 LPA
Data Engineer	₹14 – 26 LPA	₹35 – 65 LPA
Traditional Data Scientist	₹18 – 32 LPA	₹38 – 65 LPA
ML Engineer	₹25 – 45 LPA	₹55 – 95 LPA
AI Engineer / GenAI Engineer	₹30 – 55 LPA	₹70 LPA – 1.3 Cr
Applied Scientist (research-y)	₹35 – 60 LPA	₹80 LPA – 1.6 Cr
Foundation Model / Research Scientist	₹50 – 90 LPA	₹1.2 – 2.5 Cr+

Practical implication: if your current job title is “Data Analyst” or “Data Scientist” and your day-to-day work is building production ML systems or shipping LLM features, you’re underpaid by your title. The fix is updating your resume to reflect the work you actually do (with quantified impact) and interviewing for roles that are clearly labeled as “ML Engineer” or “AI Engineer.”

Salary by college / academic background

Your college’s brand matters most for your first offer. After that, it fades fast — but for fresher data scientist offers in India, the spread is significant due to DS being a relatively new field.

Background	Typical first product company DS offer
IIT Bombay / Delhi / Madras (CSE / Math)	₹35 – 55 LPA
Other IITs (CSE / Math / IDDD)	₹25 – 45 LPA
BITS Pilani / IIIT Hyderabad / IIIT Bangalore	₹22 – 40 LPA
Top NITs (CSE / Math)	₹15 – 28 LPA
ISI Kolkata / CMI / IISc	₹25 – 45 LPA
Strong state engineering colleges + Kaggle/research portfolio	₹10 – 22 LPA
MS in Data Science (top US/UK university)	₹25 – 45 LPA
Self-taught / bootcamp + strong GitHub/Kaggle portfolio	₹6 – 18 LPA

By year 3–4, hiring managers stop reading your B.Tech transcript. What’s on your resume — companies, projects, models you’ve shipped to production — drives 90% of your offer value. It helps if you switch jobs and upskill during your notice period in tech jobs in India.

CTC vs in-hand: what you’ll actually take home

Sample monthly in-hand at common DS CTC levels under the new tax regime (no deductions other than standard):

CTC	Approx monthly in-hand	Effective tax rate
₹8 LPA	₹60,000	~10%
₹15 LPA	₹1,00,000	~17%
₹25 LPA	₹1,55,000	~24%
₹40 LPA	₹2,40,000	~28%
₹60 LPA	₹3,40,000	~31%
₹1 Cr	₹5,55,000	~33%
₹1.5 Cr	₹8,30,000	~33%

RSU vesting is taxed as income in the year it vests, not when you sell. This is the most common reason FAANG India offers feel less impressive in the bank account.

How to negotiate your data scientist salary in India

The four rules in order of importance:

1. Get a competing offer. A verbal offer from one product company will get you a 25–40% bump at another. This is the single biggest lever, period.
2. Negotiate base, not joining bonus. Base compounds into every future hike, RSU refresh, and exit calc. Joining bonuses are clawed back if you leave early.
3. Ask the recruiter what the upper bound of the band is. Most companies have salary bands. Recruiters quote the middle by default. You’re allowed to ask for the top.
4. For senior roles, negotiate the RSU refresh schedule. Initial RSU grants vest over 4 years. Refresh grants are negotiable and many candidates leave them on the table.

The most underrated negotiation tactic specific to data science: document your model’s business impact in money, not in metrics. “Improved fraud detection F1 from 0.81 to 0.87” is a weaker negotiating line than “shipped a fraud model that saved ₹4.2 crore in chargebacks in Q3 alone.” Recruiters fight for candidates whose previous work has a clear revenue story attached.

Is data science still a good career in India in 2026?

Short answer: yes, but the path has narrowed.

The volume of generic “data analyst” and “junior data scientist” roles has been compressed by GenAI tooling — a single product manager with ChatGPT and a SQL interface can now do work that used to take a junior data analyst. That market is softer than it was in 2023.

Meanwhile, the volume of senior ML engineer, AI engineer, and applied scientist roles has exploded. NASSCOM projects India will host over 1 million active AI/ML roles by the end of 2026 (up from ~700K in 2024), with 30–40% YoY hiring growth in GenAI DS specifically.

Our honest 2026 advice for candidates signing up on Instahyre for high-paying jobs in India [including data science]:

• If you’re a fresher choosing a DS path: specialize early in ML engineering, MLOps, or GenAI. Generalist DS is increasingly commoditized.
• If you’re 3+ years into a DS career: your growth ceiling depends almost entirely on whether you cross the bridge into ML/AI engineering. The market is paying steep premiums for that crossover. DSA interviews are tough; here’s your roadmap!
• If you’re 7+ years in: the highest-paying tracks are foundation model engineering, post-training research, and ML platform engineering. These are scarce skills with disproportionate pay.

Frequently Asked Questions

What is the average data scientist salary in India in 2026?

The average data scientist salary in India in 2026 is ₹14–16 LPA, blending freshers earning ₹6 LPA at services companies with senior data scientists earning ₹60 LPA+ at product companies. The median is heavily skewed by the large pool of mid-level practitioners at IT services and analytics consultancies.

What is the highest salary of a data scientist in India?

The highest data scientist salaries in India touch ₹2.5–4 crore annually at L7+ Applied Scientist levels at Google, Meta, and Apple India, and ₹1.5–3 crore at VP / Head of AI levels at well-funded unicorns. Senior LLM and foundation model engineers regularly cross ₹1.5 crore in total compensation.

How much does a fresher data scientist earn in India?

A fresher data scientist in India earns ₹4.5–7 LPA at IT services companies, ₹7–12 LPA at mid-tier analytics firms, ₹10–18 LPA at Indian product companies, and ₹15–35 LPA at FAANG India and top GCCs. Freshers with strong GenAI or LLM project experience can earn ₹18–28 LPA even without an IIT background.

What is the salary of a data scientist per month in India?

The average monthly in-hand salary of a data scientist in India ranges from ₹40,000 for a fresher at a services company to ₹3+ lakh per month for senior data scientists at product companies. Mid-level data scientists (3–6 years experience) typically take home ₹1–1.7 lakh per month after taxes.

Which company pays the highest salary to data scientists in India?

In 2026, the highest-paying companies for data scientists in India are Google, Meta, Microsoft, Apple, and Netflix India. At senior levels (L5/L6), total compensation can reach ₹1.5–2.5 crore with 50–70% of that coming from RSUs. Among Indian companies, Razorpay, Flipkart, PhonePe, CRED, and Atlassian India lead the senior DS market.

What is the difference between data scientist and ML engineer salary in India?

ML engineers in India earn 25–40% more than data scientists at the same experience level in 2026. A mid-level data scientist (3–5 years) earns ₹18–32 LPA, while a mid-level ML engineer earns ₹25–45 LPA. The gap exists because ML engineers own production systems that directly drive revenue, which the market values at a premium over analytics work.

Can a data scientist earn 1 crore in India?

Yes. Data scientists with 7–10 years of experience at FAANG India, top GCCs (Goldman Sachs, JPMC), or Indian unicorns regularly earn ₹1 crore+ in total compensation. The pathway is typically: strong specialization (LLM/MLOps/CV) + senior IC role at a product company + RSU vesting. Foundation model engineers and Applied Scientists at FAANG salaries in India can reach ₹2–4 crore.

Is data science still in demand in India in 2026?

Yes, but the demand has shifted. Generic data analyst and junior DS roles have softened due to GenAI tooling. However, ML engineer, AI engineer, and applied scientist roles are growing 30–40% YoY. As stated earlier in the blog, NASSCOM data projects that India will have over 1 million active and most of the high-paying AI/ML roles by the end of 2026.

What is the salary of a data scientist with 5 years of experience in India?

A data scientist with 5 years of experience in India earns ₹14–22 LPA at services firms, ₹22–38 LPA at Indian product companies, ₹30–55 LPA at GCCs, and ₹50–80 LPA at FAANG India. With GenAI/LLM specialization, add 30–40% to each band.

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What Next [if you are an ambitious Data Scientist]?

If you’ve read this far, you’re probably in one of three buckets:

1. “I’m in a generalist DS role and feel my growth is plateauing.” The fix is moving toward ML engineering or GenAI work — even within your current company. Volunteer for the team’s first LLM project, build something deployable, and use that for your next interview cycle.
2. “I’m fairly paid but want to break into AI engineering.” Pick one specialization (LLM applications, MLOps, or CV) and go deep over the next 6–9 months. Build 2–3 deployed projects you can demo. Then interview at GenAI-first companies — the market is short on supply.
3. “I’m a fresher and want to land in the top fresher bracket.” Optimize for portfolio over coursework. A strong Kaggle profile + 2 deployed ML projects on GitHub + one open-source contribution to a popular ML library will outrank a tier-2 college transcript at hiring time.

Whichever bucket you’re in, the next step is the same: get in front of recruiters who are actively hiring for the bucket above yours.

Browse 1,500+ active Data Science, ML & AI roles on Instahyre →

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Salary data in this guide is sourced from Instahyre’s internal data covering offers across 8,000+ tech roles in 2025–26. Figures are directional ranges, not guaranteed offers — your offer depends on your skills, interview performance, location, and company-specific bands.

Disclaimer: we do not disclose any specifics regarding company salaries, so please don’t ask!