Data Scientist Salary in India (2026 Guide)

Nowadays, Data Scientist has become the most in-demand professionals in India.  

There is a rapid growth of this field, which leads to a great demand for data scientists between 2023 & 2033. This field can also lead to job growth of about 36%. 

There are a number of factors that play an important role in determining the salary of a Data Scientist, such as skill, experience, and location. Even in highest paying companies in the private sector, like Microsoft, IBM or TCS, data scientist salaries range from INR 7.27 LPA to 18 LPA. 

Data Scientist Salary in India – Freshers, Experienced & Company-Wise Breakdown (2026) 

According to Salary Calculator India, a data scientist fresher with an experience of 0-1 years earns INR 4 LPA – 10 LPA. Let’s say their average CTC is INR 6 LPA, then at the end of the month, they will get Rs. 42,598 as Monthly in hand  

Not only do Data Scientists’ salaries also depends for which companies they are working for. Top Companies like TCS, IBM, Wipro, Google, Amazon and Microsoft differ in the Average Annual Salary of a Data Scientist.  

In any type of job Experience of a candidate matters in various ways. A Fresh Graduate in Data Science can expect a salary of about INR 4LPA – 6 LPA. While a person with much experience of about 15 years or above can have a salary of INR 25 LPA. 

Understanding Data Scientist Salary in India 

Data Science remains one of the highest-paying and fastest-growing career paths in India, with demand continuing to outstrip supply in 2026.  

Salary is a very important factor for any student or job seeker, as it directly affects their financial stability, lifestyle and future planning. No matter how much one loves their profession, but it’s reward (i.e. salary) is the one which keeps them going.  

With the expansion of AI and machine learning adoption, various fields like Data Scientists with expertise in GenAI, LLMs and advances analytics are commanding premium salaries. In the upcoming years, this field has been growing significantly, and demand continues to outpace supply, keeping salaries competitive. 

Quick Overview of Data Scientist Salary in India (2026) 

According to some data we have got a quick overview of Data Scientists Salary in India: 

Table: 1.1 

*Monthly in-hand calculated using New Tax Regime (FY 2026-27) with standard assumptions. 

What Does a Data Scientist Do? 

So, what does a typical day look like for a data scientist? 

For a normal Data Scientists morning often starts with data exploration and research. They make query production database and create visualizations to validate hypotheses. 

A data scientist has strong statistical, analytical and programming skills that enable them to evaluate and interpret massive data. Besides all these things, it is one of the challenging professions; a candidate must make an informed choice when choosing data analytics as a career. 

Data Scientist Salary by Experience in India 

According to Table 1.1, The average salary of a Data Scientist is INR 10 LPA. A fresher with an experience of 0-1 years can expect average CTC of ₹6 LPA. Many junior roles like ML Engineer earn around ₹71,129 Monthly-in-Hand. Generally, a Lead ML Engineer and Senior Data Scientists come under mid-Level experienced data scientists with salary range under Rs25 LPA. There are many professionals with +10 years of experience, since experience level of a person in any professional directly proportionate with the salary level. In the same way A Data Scientist i.e. Director/VP with +12 experience can earn average CTC of INR 90 LPA. 

Data Scientist Salary by Company (Google, MNCs & Startups) 

Table 1.2 

India has several top IT companies and MNCs that hire Data Scientists such as Google, IBM, Microsoft, Amazon and Tata Consultancy Services. These companies hire not only experienced professionals across various job profiles and designation of Data Science but also fresh graduates in this field. 

These data in tabulated form shows how profession of Data Scientists is important and will grow in future. Data Scientists have a huge scope in both the private as well as public sectors. Companies such as Tata Consultancy Services, Accenture, IBM, Amazon, and Microsoft are among the highest-paying companies in the private sector with salaries ranging from INR 7.27 LPA – 18 LPA.  

Data Scientist Salary by Location in India 

Table 1.3 

The location also plays a vital role in determining the salary of a Data Scientist. Since Bangalore is considered to be a hub for IT companies it is also one of the highest-paying cities for Data Scientists followed by Gurugram, Mumbai, and New Delhi. 

Why Data Scientist Salary is High in India? 

Data Scientist provides a big chance for different industries to grow. They play a very big role in the tope level of industries. You might be wondering where data scientists actually work. There are different industrial sectors using data science: 

 
1. Healthcare & Pharmaceuticals– One reason for tech’s role in healthcare is how machine learning can predict disease from scans and reports. Data Scientists have really helped boost the accuracy of these predictions. 

2. Finance– Data science has totally changed the finance world, whether it’s spotting economic trends, keeping an eye on stock markets, or detecting credit card fraud. This industry was one of the first to embrace data science, thanks to its existing data systems. 

3. Digital Marketing– Marketing is an essential for any business. Data Scientists’ work becomes crucial, to understand online behaviour and what draws people to a product. Data is a key for building customized marketing strategies. 

Factors Affecting Data Scientist Salary 

1. Skills 
Skill plays a very important role in deciding salary. If a Data Scientist knows tools like Python, Machine Learning, SQL, and Data Visualization, they can get higher pay. More advanced skills usually lead to better salary packages. 

2. Experience 
Experience directly affects how much a Data Scientist earns. Freshers usually start with lower salaries, but with more years of experience, the salary increases significantly. Senior professionals earn much higher salaries due to their expertise. 

3. Education 
Education also impacts salary to some extent. Candidates with degrees from good colleges or higher education, like Masters or a PhD, may get better opportunities and higher starting salaries.. 

4. Company Type 
Salary depends on the type of company you work for. Product-based companies and big tech companies usually offer higher salaries, while service-based companies may offer slightly lower pay. 

5. Location 
Location is another important factor in salary. Cities like Bangalore, Hyderabad, and Mumbai offer higher salaries because they are major tech hubs with more job opportunities. 

Skills That Increase Data Scientist Salary 

Data science is an amalgamation of statistics, programming, and AI. Data science is one broad multidisciplinary field and offers various roles aligning with various functions to fulfill the data science life cycle. For Data Scientists, skills play a very important role in determining the salary.  

1. Programming (Python / R) 

2. Statistics & Mathematics 

3. Data Cleaning & Preprocessing 

4. Data Visualization 

5. Machine Learning 

6. Deep Learning (Advanced) 

7. Big Data Technologies 

Data Scientist Salary in India vs Other Countries 

With the growth in the demand for Data Science and its associated subjects, there has been a surge in demand for Data Scientists globally.  

Table 1.4 

Career Growth in Data Science 

Data Science has different career path. Demand for data science is high in all business organisations like IT, health, finance and E-commerce. Not only this but also entry level salary of a data scientists is very high. As AI and automation continue to increase, data science will be among the most applicable professions. Data Scientists provides a diverse career opportunity. You can work in: 

•  AI  • Business analytics  

• Data engineering 

• Machine learning  

Final Thoughts on Data Scientist Salary in India 

Data science is a fast-changing field with lots of cool job opportunities. As a data scientist, you’ll help make sense of data, tackle tricky business issues, and support smart decision-making. If you pick up the necessary skills, get hands-on experience, and keep up with what’s new, you can set yourself up for a great career in data science.