Data Science Salary in India: The 2025 Guide

Data science has emerged as one of the fastest-growing fields in the world of technology. It has revolutionized how organizations analyze and utilize data to gain insights into their business operations, customer behavior, and market trends. As businesses continue to generate vast amounts of data, the demand for data scientists has surged exponentially in recent years. 

India has always been at the forefront of technological advancements. As a result, data science has emerged as one of the most lucrative and promising career options for Indian professionals. In this blog, we will explore the data science salary in India, factors influencing data science salary in India, and more.

What is Data Science?

Data science is a field that uses statistical and computational methods to extract insights from data. There are different types of data science, including descriptive analytics, predictive analytics, prescriptive analytics, big data analytics, and natural language processing (NLP). 

Companies use data science to gain insights into customer behavior, improve healthcare outcomes, manage risk, detect fraud, optimize maintenance, and enhance user experience.

Average Data Science Salary in India

The average data science salary in India is around INR 13,52,650. According to various sources, the data science salary for entry-level positions is INR 7-15 LPA and for experienced professionals, it is INR 25-40 LPA. However, the salary range may vary depending on various factors, such as experience, skills, location, industry, and company size. 

Here is a list of average data science salaries in Mumbai, Bangalore, Delhi, and other cities of India: 

City	Average Salary Range (INR per annum)
Mumbai	8 – 23 Lakhs
Bangalore	8 – 26 Lakhs
Delhi/NCR	7 – 23 Lakhs
Chennai	5 – 20 Lakhs
Kolkata	5 – 23 Lakhs
Hyderabad	5 – 21 Lakhs
Pune	6 – 20 Lakhs

Also Read: Data Science Tools

Data Science Career Scope

According to the US Bureau of Labor Statistics, the number of jobs with data science skills listed as a top requirement will grow by 27.9% by 2026. Further, it is projected that the employment of data scientists will grow by 35% from 2022 to 2032. It highlights the vast scope in the data science domain where several job opportunities are available. 

The lucrative salary is another reason to pursue a career as a data scientist. As such, data science fresher salaries differ from those with over five years of experience. 

Some of the job roles you can explore in this industry include: 

A. Data Scientist

They are responsible for collecting, analyzing, and interpreting large and complex data sets using advanced statistical and machine-learning techniques. 

B. Data Analyst

They collect, process, and perform statistical analysis of data to help organizations make informed decisions.

C. Machine Learning Engineer

A machine learning engineer is responsible for designing, building, and deploying machine learning models that can learn from data and make predictions. 

D. Business Intelligence Analyst

A business intelligence analyst is responsible for collecting and analyzing business data to help organizations make data-driven decisions.

E. Data Science Engineer

They create and maintain the complex data infrastructure required to process, manage, and analyze large volumes of information.

Become a data scientist by enrolling in our data science course with placement.

Data Science Salary in India Based on Experience

Data science industry in India is continually growing, making it a great place for job opportunities. For instance, the U.S. Bureau of Labor Statistics has forecasted that employment of data scientists will grow by 35% from 2022 to 2032. It emphasizes the increasing value of data science professionals in India.

This table of data science salaries in India covers everything from data science starting salary to the salary of those in senior roles.

Experience Level	Average Salary Range (INR per annum)
Fresher (0-1 Year of Experience)	6 – 10 Lakhs
Mid-Level Professional (2-4 Years of Experience)	10 – 29 Lakhs
Experienced Professional (5+ Years of Experience)	16 – 35 Lakhs

Data Science Salary Based on Job Roles

Here are salaries for different data science roles: 

Job Roles	Average Salary Range (INR per annum)
Data Scientist	8 – 25 Lakhs
Data Analyst	6 – 15 Lakhs
Machine Learning Engineer	7 – 21 Lakhs
Business Intelligence Analyst	6 – 17 Lakhs
Data Science Engineer	7 – 25 Lakhs

Data Scientist Salary Based on Skills

The skill set you possess influences the salary you are offered for a data science job role. Let us explore some skill-based data scientist salaries here: 

Skill	Average Salary Range (INR per annum)
Data Analysis	5 – 13 Lakhs
Python	7 – 15 Lakhs
Machine Learning and Artificial Intelligence	15 – 20 Lakhs
Big Data Science	10 – 18 Lakhs
SQL	6 – 10 Lakhs

Data Scientist Salaries Based on Top Organizations

This table provides information about the average salary of data scientists in five different companies in India. 

Company	Average Salary Range (INR per annum)
Accenture	10 – 25 Lakhs
Amazon	22 – 50 Lakhs
Flipkart	14 – 40 Lakhs
IBM	12 – 31 Lakhs
Microsoft	18 – 65 Lakhs

Data Scientist Salary in Other Countries

Here are the salaries of data scientists in top countries: 

Country	Average Salary Range
USA	$80,600 – $189,792
UK	£42,500 – £80,000
Canada	CA$80,000 – CA$124,000
Germany	€44,000 – €76,000
Australia	AU$104,233 – AU$160,000

Factors That Influence Data Scientist’s Salary in India

The salary structure of any professional is decided according to industry standards, but certain aspects, such as location, skills, experience, and more are taken into consideration when finalizing the amount. Here are some key factors that influence a data science fresher salary than those of experienced professionals in India: 

1. Location

The location of the job is an essential factor that affects the salary of a data scientist. Metro cities like Bangalore, Mumbai, and Delhi offer higher salaries than smaller cities.

2. Company Size

The size of the company also affects the salary of a data scientist. Large companies like Google, Amazon, and Microsoft offer higher salaries as compared to the smaller companies.

3. Experience

Experienced data scientists with a proven track record earn higher salaries than entry-level data scientists.

4. Skillset

The skillset of a data scientist also plays an important role in determining the salary. Data scientists with skills in machine learning, big data science, and artificial intelligence earn higher salaries compared to those with basic skills in data analysis. You can widen your skill sets by pursuing a data science course. 

5. Industry

Data scientists work in financial services, e-commerce, information technology, healthcare, and other industries. Their salary varies according to the industry they work in. 

6. Education Level

Data scientist salary for individuals with a Master’s degree is higher than those with a Bachelor’s degree. Also, the relevance of the subject influences the salary structure. Therefore, consider pursuing a data science, computer science, or statistics degree. 

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How to Get a High Salary as a Data Scientist?

Now that you have learned everything about the salary structure of this domain, here are some of the things you can do to maximize your potential and receive a high data science salary in India: 

1. Build a Strong Portfolio: You can work on top data science projects to build a strong portfolio. It will help you highlight your skills and knowledge and increase your chances of securing a high-paying opportunity. Additionally, check out our resource center for resume writing tips to draft a professional and effective application. 
2. Enhance Your Skills as a Data Scientist: You can upskill yourself to obtain a higher salary as a data scientist. Some popular certification courses you can explore include:
   1. Data Science Course
   2. Machine Learning Course
   3. Deep Learning Course
   4. Statistics for Data Science Course
   5. SQL for Data Analytics Course
3. Stay Updated With the Latest Trends: When you stay updated with the latest data science tools and technology trends, you gain further expertise. It allows you to apply for high-paying data science positions. 
4. Prepare Well for the Interview: Personal interviews are a way to assess the candidate’s knowledge about the domain. Practice the top data science interview questions before appearing for an interview. Better performing candidates with great command over diverse data science concepts can negotiate for a higher salary.

Conclusion

Data science is a rapidly growing field. With the increasing demand for data science professionals, the salaries in major cities in India are expected to increase further. It’s essential to choose a city that offers a good work-life balance and opportunities for growth in the data science field. The average salaries mentioned in this blog are indicative and can vary based on several factors. 

Was this blog helpful in deciding your career path in data science? Share with us which data science job role interested you the most in the comments section below. To know more about job opportunities in this field, check out this data science career guide. 

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