Among the most valuable roles in the corporate world today, data science enjoys a pole position with just a handful of alternatives that can even match its scale. Record-breaking salaries are being paid to data scientists across the globe for their highly unique skill set, as well as the massive impact they bring to the overall business. After all, turning raw data into revenue, automation, and a competitive advantage is a feat only data scientists can achieve. And make no mistake, they are being paid their worth for this exclusive tier of talent. Don’t believe me? Well, this article listing the top-paying companies in India for data science roles is sure to change your mind.
In this article, we reveal which companies are paying data scientists the highest, why they do it, and what it takes to get hired into these elite teams. So without any delay, here are top paying companies in India for data science jobs.
Also read: 10 Data Science Jobs For All Experience Levels
Note: Before we begin with the list, a couple of things to note here.
- The figures mentioned here have been sourced from levels.fyi, a popular online platform that provides crowdsourced, detailed salary data and compensation comparisons for various industries.
- We have based this list on the median compensation, and not the “average” or “top” compensation, for the simple fact that top talents tend to earn monumentally more than the rest of the workforce (which also skews the average).
Table of contents
1. ABB
Job title
Senior Lead Data Scientist
Median compensation
₹1,39,73,646
Breakup
₹1.2 Cr Base | N/A Stock | ₹20 L Bonus
ABB is a global engineering and industrial technology leader that builds the systems powering factories, energy grids, and smart infrastructure worldwide. People in this role sit at the intersection of AI and heavy industry, using data science to optimise operations, predict failures, and drive efficiency at scale.
As you can imagine, this is not dashboard analytics. It is real-world machine learning, running inside mission-critical systems. ABB pays a premium because the models you build directly influence billion-dollar assets, safety, and performance across industries that cannot afford mistakes.
2. Graviton Research Capital
Job title
L3
Median compensation
₹89,56,287
Breakup
₹54.1L Base | N/A Stock | ₹35.4L Bonus
Graviton Research Capital sits in the high-stakes world of quantitative finance, where research decisions turn into real market outcomes. Roles at this level typically revolve around building models that spot patterns fast, stay robust under pressure, and hold up in production. The astronomical pays reflect that intensity. Also, performance-linked upside matters here, and the bonus component shows it. This is the kind of place where data science is the engine of the whole business and nothing less.
Also read: Data Science Learning Path for 2026
3. Atlassian
Job title
P50
Median compensation
₹88,12,430
Breakup
₹44.1L Base | ₹44.1L Stock | N/A Bonus
Atlassian is one of the world’s most influential enterprise software companies. It powers how teams collaborate through products like Jira, Confluence, and Trello. Hence, data science here lives deep inside product and platform decisions. It ranges from how millions of users behave to how workflows are optimised across global enterprises.
This is not back-office analytics. These roles form a critical part of the core feedback loop of a SaaS giant, where models directly influence engagement, retention, and product velocity. See that unusually large stock component? It reflects how closely data science performance is tied to the company’s long-term growth and platform scale.
4. Compass
Job title
IC2
Median compensation
₹84,89,695
Breakup
₹84.9L Base | N/A Stock | N/A Bonus
Compass is a tech-first real estate platform that uses data, software, and automation to run one of the world’s largest property marketplaces. Data scientists here operate inside pricing engines, market forecasting, and buyer-seller matching systems that move billions of rupees in property every year.
What makes this role so highly paid is not complexity for its own sake, but scale. Every model affects transactions, commissions, and market liquidity across thousands of agents and millions of listings. When data science sits this close to revenue, companies pay accordingly.
5. InMobi
Job title
Data Scientist III
Median compensation
₹82,51,501
Breakup
₹82.5L Base | N/A Stock | N/A Bonus
InMobi is a behemoth in the global advertising and mobile commerce ecosystem, where data is the product. This is a company that lives and dies by how well it can understand users, predict behavior, and optimize billions of ad impressions in real time.
At this level, data scientists are not doing reporting. They are building the algorithms that decide what ad gets shown, to whom, and at what price. Every tiny lift in accuracy compounds into massive revenue. That is why InMobi pays what it does, because the models here directly print money at scale.
Also read: How to Structure Your Data Science Project in 2026?
6. Quadeye
Job title
L1
Median compensation
₹81,45,211
Breakup
₹50.3L Base | N/A Stock | ₹31.2L Bonus
Quadeye operates in the world of quantitative trading, where data science is the business. Firms like this exist to extract signal from noise in financial markets, and every model is measured in profit and loss.
At this level, people typically work on trading strategies, risk models, and execution systems that must perform in real time. The bonus-heavy pay structure reflects that reality. As results matter, performance pays. When models make or lose money by the second, salaries are naturally as high.
7. Grab
Job title
G4
Median compensation
₹76,83,131
Breakup
₹41L Base | ₹29.5L Stock | ₹6.3L Bonus
Grab operates one of Southeast Asia’s largest super-app ecosystems, spanning ride-hailing, food delivery, payments, and financial services. Every trip, order, and payment creates signals that shape pricing, logistics, fraud detection, and customer experience. In short, data science is at the core of it all.
At this level, data scientists are actively steering how millions of users move, spend, and interact across the region. The strong equity component reflects how tightly this role is tied to Grab’s growth as a tech platform, where algorithms and data decide competitive advantage.
8. Alphagrep Securities
Job title
Quantitative Researcher
Median compensation
₹78,92,114
Breakup
₹45.8L Base | N/A Stock | ₹33.1L Bonus
Alphagrep is another heavyweight in quantitative trading, operating where mathematics, data, and market behavior collide. The work here revolves around building models that interpret market movements, test strategies, and execute trades at speed.
At this level, data science is the backbone of the trading engine. A large share of the compensation you see above comes from performance-linked bonuses. This reflects how closely the firm ties pay to how well the models perform in live markets.
Also read: Data Science and Artificial Intelligence – Difference, Applications & Job Trajectory
9. Deliveroo
Job title
L5
Median compensation
₹73,97,664
Breakup
₹65.4L Base | N/A Stock | ₹8.6L Bonus
Deliveroo is one of the world’s largest food delivery platforms. It runs a logistics and marketplace engine that connects millions of customers, riders, and restaurants across countries. Data science at this level sits deep inside pricing, demand prediction, rider dispatch, and customer experience.
What makes roles like this valuable is real-time decision systems. Models here decide how fast food arrives, how much it costs, and how efficiently riders move through cities. As every prediction has a revenue and customer impact, Deliveroo pays for data scientists who can operate inside live marketplaces.
10. Nvidia
Job title
IC1
Median compensation
₹73,96,378
Breakup
₹54L Base | ₹20L Stock | N/A Bonus
Nvidia has seen mind-boggling growth in the past decade. Which isn’t a wonder, considering it sits at the heart of the modern AI and computing boom. It builds the GPUs, platforms, and software stacks that power everything from large language models to autonomous vehicles and scientific research. Data science roles here live extremely close to the hardware and the models that run on it.
At this level, work typically connects model performance, system efficiency, and large-scale AI workloads. What makes Nvidia pay at this tier is that the insights and models built here directly influence how the world’s most powerful AI systems are trained and deployed.
Conclusion
Within this list, we see companies from various industries – finance, mobility, delivery, cloud, and industrial systems – all holding data science in extreme regard. And to think of it, the highest salaries follow one simple rule: where models directly move money, assets, or customers, companies pay whatever it takes to get them right. This list is not about hype or titles. It is a snapshot of how valuable applied data science has become in the real economy. From trading desks to global platforms, these roles show how far the profession has evolved, and how high the ceiling really is for those who operate at the top of the field.
So, in case you are a data scientist or wish to become one, you know that the sky is the limit for your career.
