{"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":"2026-10-14T16:19:28","modified_gmt":"2026-10-14T10:49:28","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":"<p>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. <a href=\"https:\/\/www.ambitionbox.com\/profile\/data-scientist-salary\">AmbitionBox<\/a> reports a median CTC of \u20b916,08,105 across 60,746 reported salaries. Indeed India reports an average of \u20b912,12,770. <a href=\"https:\/\/www.payscale.com\/research\/IN\/Job=Data_Scientist\/Salary\">PayScale<\/a> reports \u20b910,17,652.<\/p>\n<p>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<h2>Why the sources disagree<\/h2>\n<table>\n<thead>\n<tr>\n<th>Source<\/th>\n<th>What it measures<\/th>\n<th>India data scientist figure<\/th>\n<th>Sample<\/th>\n<th>Last updated<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>AmbitionBox<\/td>\n<td>Self-reported total CTC from employees<\/td>\n<td>\u20b916,08,105 median<\/td>\n<td>60,746 salaries<\/td>\n<td>14 August 2026<\/td>\n<\/tr>\n<tr>\n<td>Indeed India<\/td>\n<td>Salaries advertised in job postings<\/td>\n<td>\u20b912,12,770 average<\/td>\n<td>461 postings over 36 months<\/td>\n<td>7 August 2026<\/td>\n<\/tr>\n<tr>\n<td>PayScale<\/td>\n<td>Base salary, survey-based<\/td>\n<td>\u20b910,17,652 average<\/td>\n<td>Several hundred per band<\/td>\n<td>9 July 2026<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>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<p>The gap is this wide because &#8220;data scientist&#8221; 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<p>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<p>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<h2>Data scientist salary by experience<\/h2>\n<table>\n<thead>\n<tr>\n<th>Experience<\/th>\n<th>Average annual CTC<\/th>\n<th>Salaries reported<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Entry level, under 1 year<\/td>\n<td>About \u20b95,95,255 total pay, per PayScale<\/td>\n<td>307<\/td>\n<\/tr>\n<tr>\n<td>1 to 3 years<\/td>\n<td>\u20b911,91,977<\/td>\n<td>23,810<\/td>\n<\/tr>\n<tr>\n<td>3 to 6 years<\/td>\n<td>\u20b915,74,582<\/td>\n<td>34,728<\/td>\n<\/tr>\n<tr>\n<td>6 to 9 years<\/td>\n<td>\u20b921,52,087<\/td>\n<td>2,824<\/td>\n<\/tr>\n<tr>\n<td>Senior data scientist, 3 to 6 years<\/td>\n<td>\u20b925,23,065<\/td>\n<td>8,033<\/td>\n<\/tr>\n<tr>\n<td>Senior data scientist, 6 to 9 years<\/td>\n<td>\u20b931,87,821<\/td>\n<td>6,864<\/td>\n<\/tr>\n<tr>\n<td>Senior data scientist, 9 to 12 years<\/td>\n<td>\u20b936,46,486<\/td>\n<td>1,999<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>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<p>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&#8217;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<h2>Data scientist salary for freshers<\/h2>\n<p>A fresher data scientist in India is offered about \u20b96 lakh a year on the most reliable figure available: Payscale&#8217;s entry-level average of \u20b95,95,255 for people with under a year of experience, from 307 salaries, the largest fresher-specific sample any source publishes for this title. By one to four years Payscale&#8217;s average reaches \u20b910,05,147, from 754 salaries. Those two numbers are the honest fresher band, and every source checked in September 2026 is set out below.<\/p>\n<table>\n<thead>\n<tr>\n<th>Source<\/th>\n<th>Fresher or youngest figure<\/th>\n<th>What it measures<\/th>\n<th>Sample<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Payscale, under 1 year<\/td>\n<td>\u20b95,95,255 average<\/td>\n<td>Total pay reported by people in their first year<\/td>\n<td>307 salaries<\/td>\n<\/tr>\n<tr>\n<td>Payscale, 1 to 4 years<\/td>\n<td>\u20b910,05,147 average<\/td>\n<td>Total pay in early career<\/td>\n<td>754 salaries<\/td>\n<\/tr>\n<tr>\n<td>AmbitionBox, 1 to 3 years<\/td>\n<td>\u20b911.3 lakh to \u20b912.5 lakh<\/td>\n<td>Self-reported CTC; no band under 1 year is published<\/td>\n<td>23.9k salaries<\/td>\n<\/tr>\n<tr>\n<td>6figr, &#8220;fresher&#8221; list<\/td>\n<td>\u20b918 lakh for data scientist, \u20b913 lakh for associate data scientist<\/td>\n<td>Verified profiles, weighted towards large tech and product companies<\/td>\n<td>Not stated for the fresher list<\/td>\n<\/tr>\n<tr>\n<td>Indeed India and levels.fyi<\/td>\n<td>Not published<\/td>\n<td>Neither breaks out a fresher figure for this title<\/td>\n<td>Not applicable<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>The 6figr figure is three times Payscale&#8217;s, and the gap is about who is counted rather than about either source being wrong. 6figr and levels.fyi draw on people at large tech, product and multinational employers who choose to share their pay, and that group earns more at every level and for every role we checked. Most fresher data scientists in India are not hired by those employers, which is why this page leads with Payscale and why the realistic window above is \u20b95 lakh to \u20b99 lakh.<\/p>\n<h3>What a first data science offer is made of<\/h3>\n<p>The CTC on a first offer letter is a bundle, and two offers with the same headline can pay very differently each month. These are the parts to find on the letter and ask about.<\/p>\n<ul>\n<li><strong>Fixed pay.<\/strong> Basic salary, house rent allowance and other allowances. This is what you are paid every month, and it is the number to compare between offers.<\/li>\n<li><strong>Employer contributions.<\/strong> The employer&#8217;s provident fund share, gratuity and insurance premiums count inside CTC but never arrive as salary.<\/li>\n<li><strong>Variable or performance pay.<\/strong> Paid quarterly or yearly, and only against targets. Ask what share of last year&#8217;s variable was actually paid out.<\/li>\n<li><strong>Joining bonus.<\/strong> A one-time payment, often with a clause to repay it if you leave within a year. It inflates the first-year CTC and disappears from the second.<\/li>\n<li><strong>Stock.<\/strong> ESOPs at startups and stock units at listed product companies vest over several years. Value them at what they would be worth today if they vested, not at the headline, and remember most first-year stock has not vested at all.<\/li>\n<\/ul>\n<p>Stock and joining bonuses turn up far more often in offers from product companies and startups than from IT services firms, so an offer from each can carry the same CTC and very different fixed pay. Compare offers on fixed pay first.<\/p>\n<h3>How a first data science offer compares with a first analyst offer<\/h3>\n<table>\n<thead>\n<tr>\n<th>First offer<\/th>\n<th>Data analyst<\/th>\n<th>Data scientist<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Payscale, under 1 year<\/td>\n<td>\u20b94,13,462 average<\/td>\n<td>\u20b95,95,255 average<\/td>\n<\/tr>\n<tr>\n<td>AmbitionBox, youngest band published<\/td>\n<td>\u20b94,38,733 at 0 to 1 year, from only 32 salaries<\/td>\n<td>\u20b911.3 lakh to \u20b912.5 lakh at 1 to 3 years; no band under 1 year<\/td>\n<\/tr>\n<tr>\n<td>What the interview tests<\/td>\n<td>SQL, Excel, a BI tool and business reasoning<\/td>\n<td>Statistics, Python, machine learning and model evaluation, on top of SQL<\/td>\n<\/tr>\n<tr>\n<td>How many openings<\/td>\n<td>Far more; AmbitionBox holds 1,44,866 data analyst salaries<\/td>\n<td>Fewer; 60,746 data scientist salaries, very few of them at entry level<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>On Payscale, the one source that measures both titles the same way in the first year, a fresher data scientist earns about 44% more than a fresher data analyst, roughly \u20b91.8 lakh a year. The catch is the number of seats. Entry-level data scientist roles are scarce in India, and many people who train for data science take an analyst offer first and move across after a year or two, often landing in the 1 to 3 year data scientist band above. That route costs a year at the lower number and usually ends in a better data science job than holding out for a fresher title. Our guide to the <a href=\"https:\/\/www.skillovilla.com\/blogs\/data-analyst-fresher-salary\">data analyst salary for freshers<\/a> breaks down the analyst side of that comparison, and <a href=\"https:\/\/www.skillovilla.com\/blogs\/data-analyst-salary-india\">data analyst salary in India<\/a> covers the full analyst ladder.<\/p>\n<h2>Data scientist salary by city<\/h2>\n<table>\n<thead>\n<tr>\n<th>City<\/th>\n<th>Average annual CTC<\/th>\n<th>Salaries reported<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Gurugram<\/td>\n<td>\u20b917,79,085<\/td>\n<td>3,768<\/td>\n<\/tr>\n<tr>\n<td>Bengaluru<\/td>\n<td>\u20b916,76,464<\/td>\n<td>18,531<\/td>\n<\/tr>\n<tr>\n<td>Mumbai<\/td>\n<td>\u20b916,39,814<\/td>\n<td>4,384<\/td>\n<\/tr>\n<tr>\n<td>New Delhi<\/td>\n<td>\u20b916,32,123<\/td>\n<td>2,981<\/td>\n<\/tr>\n<tr>\n<td>Hyderabad<\/td>\n<td>\u20b916,05,388<\/td>\n<td>7,092<\/td>\n<\/tr>\n<tr>\n<td>Pune<\/td>\n<td>\u20b915,44,873<\/td>\n<td>7,961<\/td>\n<\/tr>\n<tr>\n<td>Ahmedabad<\/td>\n<td>\u20b99,58,073<\/td>\n<td>569<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>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<p>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<p>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<h2>Data scientist salary by industry<\/h2>\n<p>Industry moves your salary more than city does, and most people underweight it when choosing a first job.<\/p>\n<table>\n<thead>\n<tr>\n<th>Industry<\/th>\n<th>Typical annual range<\/th>\n<th>Salaries reported<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Internet<\/td>\n<td>\u20b921 lakh to \u20b923.3 lakh<\/td>\n<td>2,700<\/td>\n<\/tr>\n<tr>\n<td>Software product<\/td>\n<td>\u20b918.6 lakh to \u20b920.5 lakh<\/td>\n<td>3,500<\/td>\n<\/tr>\n<tr>\n<td>Management consulting<\/td>\n<td>\u20b916.1 lakh to \u20b917.7 lakh<\/td>\n<td>4,900<\/td>\n<\/tr>\n<tr>\n<td>Analytics and KPO<\/td>\n<td>\u20b914 lakh to \u20b915.5 lakh<\/td>\n<td>3,300<\/td>\n<\/tr>\n<tr>\n<td>IT services and consulting<\/td>\n<td>\u20b913 lakh to \u20b914.4 lakh<\/td>\n<td>21,000<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>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<h2>What the big employers pay<\/h2>\n<table>\n<thead>\n<tr>\n<th>Employer<\/th>\n<th>Typical annual range<\/th>\n<th>Salaries reported<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Fractal Analytics<\/td>\n<td>\u20b920.6 lakh to \u20b922.7 lakh<\/td>\n<td>737<\/td>\n<\/tr>\n<tr>\n<td>IBM<\/td>\n<td>\u20b919.3 lakh to \u20b921.4 lakh<\/td>\n<td>583<\/td>\n<\/tr>\n<tr>\n<td>Tiger Analytics<\/td>\n<td>\u20b918.6 lakh to \u20b920.5 lakh<\/td>\n<td>647<\/td>\n<\/tr>\n<tr>\n<td>Accenture<\/td>\n<td>\u20b917.9 lakh to \u20b919.8 lakh<\/td>\n<td>831<\/td>\n<\/tr>\n<tr>\n<td>Deloitte<\/td>\n<td>\u20b917 lakh to \u20b918.8 lakh<\/td>\n<td>651<\/td>\n<\/tr>\n<tr>\n<td>Cognizant<\/td>\n<td>\u20b911.9 lakh to \u20b913.2 lakh<\/td>\n<td>494<\/td>\n<\/tr>\n<tr>\n<td>TCS<\/td>\n<td>\u20b910.7 lakh to \u20b911.8 lakh<\/td>\n<td>1,500<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>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<h2>The roles that pay more than data scientist<\/h2>\n<table>\n<thead>\n<tr>\n<th>Role<\/th>\n<th>Median annual CTC<\/th>\n<th>Experience band<\/th>\n<th>Salaries reported<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Data scientist<\/td>\n<td>\u20b916,08,105<\/td>\n<td>1 to 8 years<\/td>\n<td>60,746<\/td>\n<\/tr>\n<tr>\n<td>Analytics manager<\/td>\n<td>\u20b926,98,420<\/td>\n<td>4 to 14 years<\/td>\n<td>3,673<\/td>\n<\/tr>\n<tr>\n<td>Senior data scientist<\/td>\n<td>\u20b929,72,768<\/td>\n<td>3 to 11 years<\/td>\n<td>16,871<\/td>\n<\/tr>\n<tr>\n<td>Data architect<\/td>\n<td>\u20b935,08,690<\/td>\n<td>8 to 18 years<\/td>\n<td>2,790<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Two ladders lead out of a data scientist role and they pay similarly. One is technical depth, ending at principal scientist or <a href=\"https:\/\/www.ambitionbox.com\/profile\/data-architect-salary\">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<h2>What actually moves your number<\/h2>\n<p><strong>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<p><strong>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<p><strong>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<p><strong>A master&#8217;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&#8217;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<h2>Where the jobs actually are<\/h2>\n<p>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<h2>What a realistic path looks like<\/h2>\n<p>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 <a href=\"https:\/\/www.skillovilla.com\/blogs\/data-science-course-fees-india\">data science course fees in India<\/a> covers what that route costs at each tier of provider.<\/p>\n<p>SkilloVilla&#8217;s <a href=\"https:\/\/www.skillovilla.com\/tracks\/data-science-and-ai\">Data Science &amp; 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&#8217;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<p>Fees and ratings last checked August 2026; confirm current numbers with the provider before enrolling.<\/p>\n<p>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 <a href=\"https:\/\/www.skillovilla.com\/blogs\/data-science-courses-with-placement-india\">data science courses with placement support<\/a> sets out what these programmes can and cannot promise.<\/p>\n<h2>Frequently asked questions<\/h2>\n<h3>What is the average data scientist salary in India in 2026?<\/h3>\n<p>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<h3>What is the starting salary for a data scientist in India?<\/h3>\n<p>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<h3>What is a fresher data scientist&#8217;s salary per month in India?<\/h3>\n<p>Payscale&#8217;s entry-level average of \u20b95,95,255 a year works out to about \u20b949,605 a month in CTC, and its 1 to 4 year average of \u20b910,05,147 to about \u20b983,762. Take-home pay is lower than either, because provident fund, gratuity, any variable pay and income tax come out first. Compare offers on the fixed monthly figure printed in the letter.<\/p>\n<h3>Do data science freshers earn more than data analyst freshers?<\/h3>\n<p>Yes, by about 44% on Payscale, which reports \u20b95,95,255 for a first-year data scientist against \u20b94,13,462 for a first-year data analyst. The difference is real but comes with far fewer openings, because Indian employers hire relatively few data scientists straight from college. Many people start as analysts and reach the data scientist title within two years.<\/p>\n<h3>Which city pays data scientists the most in India?<\/h3>\n<p>Gurugram leads at an average of \u20b917,79,085, ahead of Bengaluru at \u20b916,76,464, on AmbitionBox&#8217;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<h3>Do data scientists earn more than data analysts in India?<\/h3>\n<p>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<h3>Is a master&#8217;s degree required to earn well as a data scientist?<\/h3>\n<p>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&#8217;s degree and moved across from an analytics role.<\/p>\n<h3>How much can a data scientist earn after 10 years in India?<\/h3>\n<p>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<h2>Build the skills the salary bands are actually paying for<\/h2>\n<p>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<p>The <a href=\"https:\/\/www.skillovilla.com\/tracks\/data-science-and-ai\">Data Science &amp; 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 <a href=\"https:\/\/www.skillovilla.com\/courses\/machine-learning-using-python\">Machine Learning using Python course<\/a> at \u20b938,110 is the most useful single module to attempt first.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>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":"<!-- This site is optimized with the Yoast SEO plugin v23.1 - 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