{"id":3826,"date":"2026-09-09T19:10:27","date_gmt":"2026-09-09T13:40:27","guid":{"rendered":"https:\/\/www.skillovilla.com\/blogs\/data-scientist-salary-india"},"modified":"2026-09-09T19:19:22","modified_gmt":"2026-09-09T13:49:22","slug":"data-scientist-salary-india","status":"publish","type":"post","link":"https:\/\/www.skillovilla.com\/blogs\/data-scientist-salary-india","title":{"rendered":"Data Scientist Salary in India (2026): Bands, Cities and What Moves It"},"content":{"rendered":"

A working data scientist in India earns somewhere between \u20b910 lakh and \u20b916 lakh a year at the midpoint, and the honest answer is that the three big salary sources do not agree on where inside that band the middle sits. AmbitionBox<\/a> reports a median CTC of \u20b916,08,105 across 60,746 reported salaries. Indeed India reports an average of \u20b912,12,770. PayScale<\/a> reports \u20b910,17,652.<\/p>\n

All three are real numbers measuring different things. The spread between them is nearly 60 percent, which is far wider than for data analysts, and understanding why is the difference between negotiating well and quoting a figure that makes you look uninformed.<\/p>\n

Why the sources disagree<\/h2>\n\n\n\n\n\n\n\n
Source<\/th>\nWhat it measures<\/th>\nIndia data scientist figure<\/th>\nSample<\/th>\nLast updated<\/th>\n<\/tr>\n<\/thead>\n
AmbitionBox<\/td>\nSelf-reported total CTC from employees<\/td>\n\u20b916,08,105 median<\/td>\n60,746 salaries<\/td>\n14 August 2026<\/td>\n<\/tr>\n
Indeed India<\/td>\nSalaries advertised in job postings<\/td>\n\u20b912,12,770 average<\/td>\n461 postings over 36 months<\/td>\n7 August 2026<\/td>\n<\/tr>\n
PayScale<\/td>\nBase salary, survey-based<\/td>\n\u20b910,17,652 average<\/td>\nSeveral hundred per band<\/td>\n9 July 2026<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

AmbitionBox counts total CTC, which in Indian offers includes variable pay, joining bonuses and stock you may or may not ever see. Its contributor base skews towards metro tech and analytics firms, and self-reported data runs optimistic because people who got a good offer are likelier to post it. Indeed measures what employers advertise, which is usually the fixed band and often understates senior roles that are never posted publicly. PayScale measures base salary only, ignoring a variable component worth 10 to 25 percent of a typical Indian package, on the smallest sample of the three.<\/p>\n

The gap is this wide because “data scientist” in India covers everything from a reporting role at a services firm to a research role at a product company. For data analysts the same three sources land within about 18 percent of each other, because the job is more uniform.<\/p>\n

Treat AmbitionBox as the picture of what strong offers look like, Indeed as the floor an employer will advertise, and the truth as somewhere in between. Figures below are from AmbitionBox unless stated otherwise, because its sample is by far the largest.<\/p>\n

One more AmbitionBox figure is worth carrying into a salary conversation: the 25th percentile is \u20b97,65,622 and the 90th is \u20b925,13,276. A quarter of reported Indian data scientists earn under \u20b97.7 lakh. Any single average hides that.<\/p>\n

Data scientist salary by experience<\/h2>\n\n\n\n\n\n\n\n\n\n\n\n
Experience<\/th>\nAverage annual CTC<\/th>\nSalaries reported<\/th>\n<\/tr>\n<\/thead>\n
Entry level, under 1 year<\/td>\nAbout \u20b95,95,255 total pay, per PayScale<\/td>\n307<\/td>\n<\/tr>\n
1 to 3 years<\/td>\n\u20b911,91,977<\/td>\n23,810<\/td>\n<\/tr>\n
3 to 6 years<\/td>\n\u20b915,74,582<\/td>\n34,728<\/td>\n<\/tr>\n
6 to 9 years<\/td>\n\u20b921,52,087<\/td>\n2,824<\/td>\n<\/tr>\n
Senior data scientist, 3 to 6 years<\/td>\n\u20b925,23,065<\/td>\n8,033<\/td>\n<\/tr>\n
Senior data scientist, 6 to 9 years<\/td>\n\u20b931,87,821<\/td>\n6,864<\/td>\n<\/tr>\n
Senior data scientist, 9 to 12 years<\/td>\n\u20b936,46,486<\/td>\n1,999<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Two things stand out. The first is the size of the jump from 3 to 6 years into 6 to 9 years, which is roughly 37 percent and is the single biggest step in the whole ladder. The second is that the title change to senior data scientist is worth more than any two-year increment: AmbitionBox puts the senior title at a median of \u20b929,72,768 across 16,871 salaries, with 14 percent growth in that figure over the last two years.<\/p>\n

The fresher number deserves a caveat. AmbitionBox does not publish an under-1-year band for data scientists at all, which tells you something: genuine fresher data scientist roles are rare in India. PayScale’s \u20b95,95,255 comes from 307 responses. Treat \u20b95 lakh to \u20b99 lakh as the realistic fresher window, and be sceptical of anyone quoting you a fresher average above \u20b912 lakh.<\/p>\n

Data scientist salary by city<\/h2>\n\n\n\n\n\n\n\n\n\n\n\n
City<\/th>\nAverage annual CTC<\/th>\nSalaries reported<\/th>\n<\/tr>\n<\/thead>\n
Gurugram<\/td>\n\u20b917,79,085<\/td>\n3,768<\/td>\n<\/tr>\n
Bengaluru<\/td>\n\u20b916,76,464<\/td>\n18,531<\/td>\n<\/tr>\n
Mumbai<\/td>\n\u20b916,39,814<\/td>\n4,384<\/td>\n<\/tr>\n
New Delhi<\/td>\n\u20b916,32,123<\/td>\n2,981<\/td>\n<\/tr>\n
Hyderabad<\/td>\n\u20b916,05,388<\/td>\n7,092<\/td>\n<\/tr>\n
Pune<\/td>\n\u20b915,44,873<\/td>\n7,961<\/td>\n<\/tr>\n
Ahmedabad<\/td>\n\u20b99,58,073<\/td>\n569<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Among the metros the gap is only about 15 percent from Gurugram to Pune, which is smaller than most career blogs claim. What Bengaluru gives you is not a pay premium but volume: 18,531 reported salaries, more than the next three cities combined. More employers means more competing offers, and competing offers move your number far more than a city average does.<\/p>\n

Ahmedabad is the row worth staring at. At \u20b99,58,073 it sits 46 percent below Gurugram, which is the real tier-1 versus tier-2 gap and dwarfs anything between the metros. If you are weighing a relocation, the decision is metro or not, rather than which metro.<\/p>\n

Gurugram leads because of who is there rather than where it is: the NCR belt holds a dense cluster of BFSI captives, consulting arms and analytics services firms. Pune sits lowest of the metros because its hiring is weighted towards IT services delivery centres.<\/p>\n

Data scientist salary by industry<\/h2>\n

Industry moves your salary more than city does, and most people underweight it when choosing a first job.<\/p>\n\n\n\n\n\n\n\n\n\n
Industry<\/th>\nTypical annual range<\/th>\nSalaries reported<\/th>\n<\/tr>\n<\/thead>\n
Internet<\/td>\n\u20b921 lakh to \u20b923.3 lakh<\/td>\n2,700<\/td>\n<\/tr>\n
Software product<\/td>\n\u20b918.6 lakh to \u20b920.5 lakh<\/td>\n3,500<\/td>\n<\/tr>\n
Management consulting<\/td>\n\u20b916.1 lakh to \u20b917.7 lakh<\/td>\n4,900<\/td>\n<\/tr>\n
Analytics and KPO<\/td>\n\u20b914 lakh to \u20b915.5 lakh<\/td>\n3,300<\/td>\n<\/tr>\n
IT services and consulting<\/td>\n\u20b913 lakh to \u20b914.4 lakh<\/td>\n21,000<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

The spread is 60 percent from bottom to top. Note where the jobs are, though: IT services and consulting holds 21,000 of the reported salaries, more than the other four combined, and pays the least. That is the real trade-off for most Indian data scientists. The services sector is the easiest place to get hired and the hardest place to get paid.<\/p>\n

What the big employers pay<\/h2>\n\n\n\n\n\n\n\n\n\n\n\n
Employer<\/th>\nTypical annual range<\/th>\nSalaries reported<\/th>\n<\/tr>\n<\/thead>\n
Fractal Analytics<\/td>\n\u20b920.6 lakh to \u20b922.7 lakh<\/td>\n737<\/td>\n<\/tr>\n
IBM<\/td>\n\u20b919.3 lakh to \u20b921.4 lakh<\/td>\n583<\/td>\n<\/tr>\n
Tiger Analytics<\/td>\n\u20b918.6 lakh to \u20b920.5 lakh<\/td>\n647<\/td>\n<\/tr>\n
Accenture<\/td>\n\u20b917.9 lakh to \u20b919.8 lakh<\/td>\n831<\/td>\n<\/tr>\n
Deloitte<\/td>\n\u20b917 lakh to \u20b918.8 lakh<\/td>\n651<\/td>\n<\/tr>\n
Cognizant<\/td>\n\u20b911.9 lakh to \u20b913.2 lakh<\/td>\n494<\/td>\n<\/tr>\n
TCS<\/td>\n\u20b910.7 lakh to \u20b911.8 lakh<\/td>\n1,500<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Specialist analytics firms sit at the top, large IT services firms at the bottom, and the difference between Fractal and TCS is almost exactly double. This is the clearest argument in the whole article for being deliberate about your first employer rather than taking whichever offer arrives first.<\/p>\n

The roles that pay more than data scientist<\/h2>\n\n\n\n\n\n\n\n\n
Role<\/th>\nMedian annual CTC<\/th>\nExperience band<\/th>\nSalaries reported<\/th>\n<\/tr>\n<\/thead>\n
Data scientist<\/td>\n\u20b916,08,105<\/td>\n1 to 8 years<\/td>\n60,746<\/td>\n<\/tr>\n
Analytics manager<\/td>\n\u20b926,98,420<\/td>\n4 to 14 years<\/td>\n3,673<\/td>\n<\/tr>\n
Senior data scientist<\/td>\n\u20b929,72,768<\/td>\n3 to 11 years<\/td>\n16,871<\/td>\n<\/tr>\n
Data architect<\/td>\n\u20b935,08,690<\/td>\n8 to 18 years<\/td>\n2,790<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Two ladders lead out of a data scientist role and they pay similarly. One is technical depth, ending at principal scientist or data architect<\/a>. The other is management, through analytics manager and head of data. Pick on temperament, because the numbers barely separate them.<\/p>\n

What actually moves your number<\/h2>\n

Changing employer, more than anything else.<\/strong> Internal increments in Indian firms cluster around 8 to 12 percent. A well-timed switch into a higher-paying industry moves you more than three years of loyalty.<\/p>\n

Deployment skills, not modelling skills.<\/strong> Everyone applying can train a model. Far fewer can put one into production, monitor it and roll it back when it drifts. Cloud platforms, containers and pipeline tools are what separates two candidates with identical portfolios.<\/p>\n

Domain depth.<\/strong> Someone who understands credit risk, insurance claims or supply chain needs less hand-holding from the business than a generalist, which is why financial services and consulting pay above the median. In regulated sectors, being able to justify a model to a compliance team is scarcer still, and it is rewarded.<\/p>\n

A master’s degree, marginally.<\/strong> It helps at the CV screen in large firms and in research-heavy roles, but it adds no fixed premium and is not a prerequisite. The old advice that you need a master’s in statistics before anyone will look at you was already weakening in 2022 and is no longer true. What replaced it is a demand for evidence: working code, a deployed project, and a clear account of a decision your model changed.<\/p>\n

Where the jobs actually are<\/h2>\n

Analytics-first firms such as Fractal, Tiger Analytics and Mu Sigma hire in volume and pay well. The consulting arms of Accenture, Deloitte and PwC run large practices, product companies including Amazon, Flipkart and Swiggy hire smaller teams at higher packages, and the BFSI captives across Mumbai and Gurugram are a quiet third pillar that rarely appears in career blogs. If you want the top of the range, aim at a specialist analytics firm or a product company. If you want your first data science title at all, an IT services firm is the most likely place to get it, and leaving after two years is normal.<\/p>\n

What a realistic path looks like<\/h2>\n

Most Indian data scientists did not start as data scientists. They started as analysts, engineers or MIS executives, learned Python and statistics properly, built two or three projects that survived scrutiny, and moved internally or at the next company. Our breakdown of data science course fees in India<\/a> covers what that route costs at each tier of provider.<\/p>\n

SkilloVilla’s Data Science & AI track<\/a> is priced at \u20b91,01,999, currently \u20b989,999, and runs as live classes with 1:1 mentorship from working practitioners, real projects and placement support. Hiring partners include Accenture, Mu Sigma, Amazon, Flipkart, PwC and Razorpay. Across SkilloVilla’s tracks, alumni report packages between 4 and 15 LPA, with a median of 9.5 LPA and a highest of 32 LPA. Scholarships are available depending on candidate profile.<\/p>\n

Fees and ratings last checked August 2026; confirm current numbers with the provider before enrolling.<\/p>\n

One honest caveat. A single course does not make a fresher a data scientist in India, whatever the advertisement says. The realistic outcome from a structured programme is an analytics or junior data role, with the data scientist title following a couple of years later. Our comparison of data science courses with placement support<\/a> sets out what these programmes can and cannot promise.<\/p>\n

Frequently asked questions<\/h2>\n

What is the average data scientist salary in India in 2026?<\/h3>\n

There is no single answer, and the three main sources disagree by nearly 60 percent. AmbitionBox reports a median CTC of \u20b916,08,105 from 60,746 self-reported salaries in August 2026, Indeed India reports \u20b912,12,770 from job postings, and PayScale reports \u20b910,17,652 in base salary. The spread comes from CTC versus base pay, from employee reports versus advertised postings, and from how wide a range of jobs carry this title in India.<\/p>\n

What is the starting salary for a data scientist in India?<\/h3>\n

Realistically \u20b95 lakh to \u20b99 lakh for a genuine entry-level role, with PayScale reporting an average of \u20b95,95,255 for people with under a year of experience. AmbitionBox does not publish a fresher band for this title at all, which reflects how few true fresher data scientist roles exist in India. Most people reach the title after two or three years in an analytics or engineering role.<\/p>\n

Which city pays data scientists the most in India?<\/h3>\n

Gurugram leads at an average of \u20b917,79,085, ahead of Bengaluru at \u20b916,76,464, on AmbitionBox’s August 2026 data. The gap across the metros is only about 15 percent, so which metro you pick matters far less than industry or employer. The real cliff is metro versus non-metro: Ahmedabad averages \u20b99,58,073, some 46 percent below Gurugram.<\/p>\n

Do data scientists earn more than data analysts in India?<\/h3>\n

Yes, substantially. AmbitionBox puts the data scientist median at \u20b916,08,105 against \u20b96,84,517 for data analysts, so roughly 2.3 times at comparable career stages. The trade-off is that data science takes longer to enter and has far fewer entry-level openings.<\/p>\n

Is a master’s degree required to earn well as a data scientist?<\/h3>\n

No. It helps you clear the initial CV screen at large firms and matters in research-heavy roles, but it carries no fixed salary premium in the Indian market. Employers weigh working code, deployed projects and domain understanding more heavily. Many well-paid Indian data scientists hold a bachelor’s degree and moved across from an analytics role.<\/p>\n

How much can a data scientist earn after 10 years in India?<\/h3>\n

AmbitionBox reports senior data scientists with 9 to 12 years averaging \u20b936,46,486, and data architects with 8 to 18 years at a median of \u20b935,08,690. Analytics managers with 4 to 14 years sit at \u20b926,98,420. Above that, individual packages at product companies and in leadership roles vary too widely for an average to mean much.<\/p>\n

Build the skills the salary bands are actually paying for<\/h2>\n

The numbers on this page reward the same things at every level: SQL you can write fast, statistics you genuinely understand, and a model you have put in front of a business owner and defended.<\/p>\n

The Data Science & AI track<\/a> covers that ground over live classes with mentors who do this work for a living, and carries placement support. To start narrower, the Machine Learning using Python course<\/a> at \u20b938,110 is the most useful single module to attempt first.<\/p>\n","protected":false},"excerpt":{"rendered":"

Data scientist salary in India 2026 by experience, city, industry and employer, with sourced figures and what actually moves your number.<\/p>\n","protected":false},"author":27,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[123],"tags":[],"class_list":["post-3826","post","type-post","status-publish","format-standard","hentry","category-data-science"],"yoast_head":"\nData Scientist Salary in India (2026): Bands, Cities and What Moves It<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.skillovilla.com\/blogs\/data-scientist-salary-india\" \/>\n<meta property=\"og:locale\" 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