Introduction
If you have been exploring various job portals, trying to get an idea of what a salary of a data scientist in India is like, you are not the only one asking this question. This is one of the most commonly searched career queries on the Internet and that is not surprising at all because Data Science remains one of the best-paid and fastest-growing career fields in India today, but the figures available are often quite different. One source says that data scientists make ₹6 LPA, another source states that the figure is ₹40 LPA, and all of the sudden, you feel even more lost.
”This guide will tell you all about data scientists salaries in India.”
Average Data Scientist Salary in India
The average data scientist salary in India in the year 2026 varies from ₹11 LPA to ₹15 LPA, depending upon the platform used for reference. According to AmbitionBox, the figure will be nearer ₹15 LPA; whereas, Glassdoor and Indeed estimate it to be around ₹12 LPA. The point is that “average” is only half of the truth, as the amount of salary varies greatly based on your experience level, location and even the nature of the organization, whether it is service-oriented or product-oriented. To give you a better idea, salaries for freshers start at ₹5 LPA and go up to ₹9 LPA, while the annual salaries for experienced data scientists having 10+ years of experience as leaders ranges anywhere from ₹40-60 LPA and sometimes even crosses ₹1 crore at leading MNCs.
Salary of Data Scientists based on Experience
Freshers (0-1 Years)
- Don’t feel demoralised if you find yourself at the lower end of the salary spectrum. The salary of entry-level data scientists in India ranges from ₹4 LPA to ₹9 LPA with an average somewhere between ₹5.5 – 6 LPA.
- While a high pay for a fresher comes down to having a degree, but what really makes the difference is having an impressive portfolio that includes work done on Python, SQL and Machine Learning, even self-created ones.
Early Career (1-4 Years)
If you have one or two years of hands-on experience behind your back, chances are your salary will range anywhere from ₹8 LPA to ₹14 LPA. This is when a specialisation in something such as NLP, Computer Vision or cloud-based ML platforms pays off.
Mid-Level (4-9 Years)
The mid-level salary of data scientists in India lies within ₹12 LPA to ₹22 LPA. At this point, companies expect you to be able to perform end-to-end tasks from data cleansing, building models and presenting insights to the management.
Experienced Level (10+ Years of Experience)
Senior data scientists and professionals in specialized positions earn ₹25 LPA to ₹45 LPA, with some high-performing employees in product-based firms earning more than this amount. Data scientists specializing in Generative AI, LLMs, and deep learning algorithms are earning the most among the senior-level positions.
Data Scientist Salary by City
Location affects your salary more than you think it does. Here is how it generally works in major cities in India:
Bangalore – Always offers the best salary for Data Science positions, 25-30% higher than the national average, because of the presence of many tech firms and startups.
Mumbai & Delhi NCR (Gurugram, Noida) – Follow Bangalore closely, with good demand in both the financial and tech sectors.
Hyderabad – Catching up quickly because of substantial investments made by international tech firms in HITEC City.
Pune & Chennai – Provide well-paying jobs that keep growing in value, especially because of the establishment of analytics and IT centers in these cities.
Coimbatore & other Tier-2 cities – The salaries may be slightly lower compared to other cities; however, the cost of living is much lower too. Remote working opportunities in metro-level compensation packages have become quite common.
Data Scientist Salaries Across Various Types of Companies
- All employers don’t offer the same salary packages for a similar designation, and that is the point at which most people get a shock.
- Product-oriented technology companies (like Google, Amazon, Microsoft, Flipkart) offer relatively higher salaries than other categories, along with stocks and performance bonuses on top of the base salary.
- Rapidly growing start-ups (like Swiggy, Zomato, CRED, Zepto) offer competitive salaries, particularly for mid-level/senior data scientists, and also promise quicker growth.
- Consulting firms (Deloitte, Accenture, McKinsey) and analytics firms offer well-defined career paths and good learning opportunities despite lower salaries when compared with pure product companies.
- Service-based IT firms (like TCS, Infosys, Wipro, HCL) are stable in nature and guarantee steady growth. But their salaries are comparatively slower in terms of growth when compared with product companies.
- If rapid salary growth is what you want, then it will be better to join either the product company or rapidly growing startups.
What Actually Moves the Needle on Your Salary
A lot of professionals assume experience alone drives pay, but in data science, skills often matter just as much, sometimes more.
1. Technical skill set
Proficiency in Python, SQL, and machine learning is the baseline now, not a differentiator. What sets high earners apart in 2026 is expertise in Generative AI, NLP, cloud ML platforms like AWS SageMaker or Azure ML, and big data tools like Apache Spark. Professionals who’ve picked up GenAI and agentic AI skills are seeing a noticeable pay premium over those with only traditional ML backgrounds.
2. Education and certifications
While a degree in computer science, statistics, or a related field helps, practical, project-based learning often carries more weight with employers than the degree itself. This is where structured, hands-on training programs make a real difference especially for career switchers who don’t come from a traditional STEM background.
3. Industry experience
Data scientists working in finance, healthcare, and e-commerce tend to command higher pay than those in more generic domains, simply because the business impact of their work is easier to quantify.
4. Communication and business acumen
The best-paid data scientists aren’t just good with models — they’re good at explaining what those models mean to non-technical stakeholders. This “translator” skill is increasingly valued as companies push AI adoption across every department.
Data Scientist vs Data Analyst: A Quick Pay Comparison
If you’re deciding between these two closely related career paths, salary is often a deciding factor. A data analyst in India typically earns ₹6–9 LPA at the mid-career stage, while a data scientist with comparable experience earns ₹10–18 LPA.
The gap comes down to depth data scientists are expected to build predictive models and apply statistical and machine learning techniques, while analysts focus more on interpreting existing data and reporting trends. If you’re aiming for the higher end of the pay scale long-term, data science offers a steeper but more rewarding curve.
How to Increase Your Data Scientist Salary in India
If you’re looking to move up the salary ladder faster, here’s what actually works:
- Build a project portfolio that shows real problem-solving, not just tutorial-following. Employers want to see how you’ve applied skills, not just that you’ve learned them.
- Specialise strategically. Picking up in-demand skills like Generative AI, NLP, or cloud ML platforms can significantly boost your offer, even at the same experience level as your peers.
- Get certified through structured, practical training. Courses that combine theory with real datasets and mentorship tend to prepare you far better for interviews than self-study alone.
- Target the right cities and companies. If salary growth is your priority, Bangalore, Mumbai, and product-based companies remain the strongest bets.
- Don’t underestimate soft skills. The ability to present findings clearly and tie your work to business outcomes often separates a ₹12 LPA offer from an ₹18 LPA one.
Conclusion
From the data scientist salary in India, it is quite evident that this is a profession in which not only freshers but also experienced professionals enjoy salaries much higher than the average IT salary. The salary graph keeps rising with proper skills. For instance, freshers can expect salaries starting from ₹5-9 LPA whereas experienced professionals in specialized positions earn way above ₹40 LPA. However, the exact figure depends upon the strategies applied by the candidate rather than luck. This includes the type of projects created, skills acquired, and the city and kind of companies to target. There is one message that needs to be conveyed here. In the coming years of 2026, genAI, NLP, and cloud ML skills will become the difference between good salaries and premium salaries. The field of Data science is growing fast without any sign of slowing down anytime soon.
