Published on 15 Oct 2026

14 mins

Data Science Salaries in India 2026: Complete Breakdown by Role, City & Experience

Data science salary in India 2026 explained by experience, job role, company type, city and industry, plus India vs abroad pay and tips to earn more. Read the guide.

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Data science has become a popular career choice in India, with opportunities emerging across technology, finance, healthcare, e-commerce, consulting, and other industries. As organizations increasingly rely on data, demand for professionals with specialized skills in analytics, machine learning, AI, and data engineering continues to open new career paths.

Salaries in the field, however, may vary widely. Your role, years of experience, location, technical skills, and the organization you work for can all influence your earning potential in data science. This guide reviews data science salaries in India in 2026 across different roles, cities, and experience levels.

Table of Contents

Data Science Salaries in India 2026: Quick Overview (Snapshot Table)

As noted above, data science salaries in India can vary significantly based on the role, experience, skills, and location. While entry-level roles may offer moderate packages, experienced data scientists, machine learning engineers, and data specialists can command relatively higher packages.

The table below offers a quick snapshot of typical salary ranges across common data science roles in 2026. Note that these figures are indicative ranges; actual compensation can differ based on the employer, industry, qualifications, and the professional’s expertise.

Job Role	Experience	Average Annual Salary (Approx)
Data Analyst	0-1 year	INR 3.6 LPA – 5.2 LPA
Data Scientist	1-3 years	INR 11.3 LPA – INR 12.5 LPA
Machine Learning Engineer	1-3 years	INR 9.2 LPA – INR 10.2 LPA
Data Engineer	1-3 years	INR 7.6 LPA – INR 8.4 LPA
Senior Data Scientist	5+ years	INR 30.4 LPA – INR 38.4 LPA

Source: AmbitionBox

Disclaimer: All figures shared are indicative and may vary by role, experience, organization, location, and other factors. The data in the table above may also be updated over time.

Factors that Determine Your Data Science Salary in India

The average Data Science salary in India depends on several factors that go beyond your job title. Your work experience, technical skills, educational qualifications, location, industry, and the type of organization you work for affect your overall earning potential.

Understanding each of these factors can help you set realistic salary expectations as you plan your data science career in India.

1. Experience Level

As professionals gain experience and take on more complex responsibilities, their earning potential increases.

Entry-level (0-2 years): Opportunity to build foundational data science skills and gain practical experience
Mid-level (3-5 years): Take up specialized projects in the field and greater responsibilities
Senior-level (6+ years): Lead projects, teams, or data-driven initiatives and handle more complex roles

2. Specialization

The data science specialization you choose also affects the roles you qualify for and your potential salary range.

Analytics: Focuses on data interpretation, reporting, dashboards, and business insights
Core Data Science: Covers statistics, machine learning, predictive modeling, and data-backed problem-solving
GenAI-focused roles: Focus on generative AI, large language models, prompt engineering, and AI applications

3. Company Type

The type of company you work for also plays a major role in your data science salary, depending on its business model, scale, and hiring needs.

IT services companies: Often offer varied roles across client projects, with salary depending on skills and experience
Product companies: May offer higher compensation for more specialized data and technology skills
MAANG & GCCs: May provide competitive pay packages for experienced professionals with strong technical and analytical skills

4. City & Location: Metro vs Tier-2 Pay Gap

Location is also a key determinant of overall data science salaries in India, with major metro cities generally offering more opportunities and higher pay packages than many Tier-2 cities.

Metro cities: Bengaluru, Mumbai, Delhi-NCR, Hyderabad, and Pune tend to have a strong demand for data professionals with high pay packages on offer.
Tier-2 cities: Cities such as Jaipur, Ahmedabad, Kochi, and Coimbatore may also offer growing opportunities but at relatively lower salary levels.
Cost of living: Consider salary differences alongside the cost of living in each city.

5. Education

Earning a relevant data science qualification can strongly influence your starting salary and the roles you qualify for.

Undergraduate degree: Helps build foundational knowledge in data science and can help you enter data and analytics roles.
Postgraduate degree: An MCA or MSc in data science can support more specialized and advanced roles in the field.
Certifications: Relevant certifications can further strengthen your profile by adding specialized technical skills.

Data Science Salary in India: A Detailed Breakdown

A data science salary in India depends on more than one factor. Your level of experience, job role, the type of company you work for and the city you are based in can all make a big difference to your pay. The sections below break down each of these factors so you can see where your skills and experience fit.

1. Data Science Salary in India by Experience Level

Data science salaries in India typically increase with experience, skills, and the role. Freshers generally start with entry-level packages, while professionals with many years of experience can move into higher-paying roles, such as data scientist, data engineer, or machine learning engineer. Actual salary may vary by employer, location, skills, and industry. The table below highlights the pay scale of data science professionals at varying experience levels:

Experience Level	Average Annual Salary (Approx)
Fresher Data Scientist (0-1 Year)	INR 5 LPA – INR 6 LPA
Junior Data Scientist (1-3 Years)	INR 6 LPA – INR 8 LPA
Mid-Level Data Scientist (4-6 Years)	INR 15 LPA – INR 16.6 LPA
Senior Data Scientist (7-10 Years)	INR 30.3 LPA – INR 33.5 LPA
Lead / Principal Data Scientist (10+ Years)	INR 47.9 LPA – INR 53 LPA

Source: AmbitionBox

Disclaimer: All figures shared are indicative and may vary by role, experience, organization, location, and other factors. The data in the table above may also be updated over time.

2. Data Science Salary by Job Role in India

Data science salaries in India may vary based on the job role, experience, technical skills, location, and employer. Roles such as data analyst, data scientist, machine learning engineer, business analyst, and data engineer offer different salary ranges. Professionals with specialized skills in AI, machine learning, analytics, and data engineering may witness stronger career and salary growth over time.

Job Role	Average Annual Salary (Approx)	Experience
Data Architect	INR 33.8 LPA – INR 37.3 LPA	8-18 years
Data Scientist	INR 15.6 LPA – INR 17.3 LPA	1-8 years
Machine Learning Engineer	INR 12.7 LPA – INR 14 LPA	1-6 years
Data Engineer	INR 11.5 LPA – INR 12.7 LPA	1-7 years
Data Analyst	INR 6.5 LPA – INR 7.2 LPA	0-6 years

Source: AmbitionBox

Disclaimer: All figures shared are indicative and may vary by role, experience, organization, location, and other factors. The data in the table above may also be updated over time.

3. Data Science Salary by Company Type in India

Data science salaries in India may also vary depending on the type and size of the company, along with your role, experience, and technical skills. While product companies and large technology firms may offer competitive packages, startups, IT services companies, and smaller organizations may have different salary structures. The actual package largely depends on location, skills, and experience. The table below shares an overview of the salary of data science professionals according to company type:

Company Type	Average Annual Salary (Approx)	Experience
Government	INR 16.9 LPA – INR 19.7 LPA	1-6 years
MNC	INR 16.4 LPA – INR 18.1 LPA	3-4 years
Public Company	INR 15.6 LPA – INR 17.3 LPA	1-8 years
Startup	INR 14.5 LPA – INR 16 LPA	1-6 years
Fortune India 500	INR 13.3 LPA – INR 14.7 LPA	1-6 years

Source: AmbitionBox

Disclaimer: All figures shared are indicative and may vary by role, experience, organization, location, and other factors. The data in the table above may also be updated over time.

4. Data Science Salary by City in India

Data science salaries may vary across different Indian cities based on demand, cost of living, employer, experience, and job role. Major technology hubs, such as Bengaluru, Hyderabad, Pune, Chennai, Mumbai, and Delhi-NCR, offer ample opportunities across data analytics, data science, AI, and machine learning areas. Comparing salary ranges by city helps you better understand the potential earning prospects in each region before choosing a location to work/settle in.

City	Average Annual Salary (Approx)	Experience
Delhi NCR/Gurugram	INR 16.8 LPA – INR 18.6 LPA	1-6 years
Bengaluru	INR 15.9 LPA – INR 17.6 LPA	1-7 years
Hyderabad	INR 15.4 LPA – INR 17 LPA	1-6 years
Chennai	INR 15.2 LPA – INR 16.9 LPA	1-6 years
Mumbai	INR 15.2 LPA – INR 16.8 LPA	1-8 years
Pune	INR 14.7 LPA – INR 16.2 LPA	1-7 years

Source: AmbitionBox

Disclaimer: All figures shared are indicative and may vary by role, experience, organization, location, and other factors. The data in the table above may also be updated over time.

5. Data Science Salary by Industry in India

Data science salaries in India may vary across multiple industries as well. This may be on the basis of the job role, years of experience, technical skills, and organization employed.

Industry	Average Annual Salary (Approx)	Experience
FinTech	INR 22 LPA – INR 24.3 LPA	1-6 years
Financial Services	INR 19.2 LPA – INR 21.2 LPA	1-8 years
Management Consulting	INR 15.8 LPA – INR 17.5 LPA	1-6 years
Analytics & KPO	INR 14 LPA – INR 15.5 LPA	1-8 years
IT Services & Consulting	INR 13.1 LPA – INR 14.4 LPA	1-8 years

Source: AmbitionBox

Disclaimer: All figures shared are indicative and may vary by role, experience, organization, location, and other factors. The data in the table above may also be updated over time.

Data Science Salary in India vs Abroad (US, UK, Germany, UAE)

Comparing data science salaries across countries can help professionals in the field better understand the earning potential of career opportunities overseas. Salaries in the USA, the UK, Germany, and the UAE can significantly differ from those in India, based on experience, job role, skills, industry, and cost of living.

Country	Average Annual Salary (Approx)	Experience
India	INR 15.2 LPA – INR 16.7 LPA	1-8 years
USA	USD 134,000 – USD 237,000	1-15+ years
UK	GBP 70,000 – GBP 102,000	1-6 years
Germany	EUR 55,267 – EUR 71,385	1-19 years
UAE	AED 157,380 – AED 300,303	1-19 years

Sources: AmbitionBox, Payscale

Disclaimer: All figures shared are indicative and may vary by role, experience, organization, location, and other factors. The data in the table above may also be updated over time.

How to Increase Your Data Science Salary?

Increasing your earning potential in data science typically involves building in-demand skills, gaining practical experience, and taking on roles with greater responsibility. Some of the steps outlined below can help you boost your profile and increase your pay package:

Build specialized skills: Develop expertise in in-demand areas, such as AI, machine learning, cloud computing, or advanced analytics. Employers actively seek qualified professionals with these specialized skills, and pay is competitive.
Earn hands-on experience: Work on real-world projects and build a strong portfolio that showcases your technical and problem-solving skills.
Keep upskilling: Stay updated with new tools and technologies in the market, and earn certifications or advanced qualifications that can support career growth and increase earnings.

Can a Degree or Course Help You Earn More in Data Science?

A relevant degree or course can help strengthen your qualifications and build skills that may support career growth in data science. However, your earning potential also depends on experience, technical expertise, job role, and the value you bring to an organization. Some of the top programs that can help improve your earning potential include:

Data Science Salary Outlook 2026-2030: Will Pay Keep Rising?

As businesses continue to adopt AI, automation, and data-backed decision-making, demand for data science skills is expected to remain strong through 2030. However, salary growth is likely to depend on how well professionals keep up with changing technologies and build specialized expertise in the field.

AI and ML skills may contribute to higher earnings: Professionals with expertise in AI, machine learning, and advanced analytics are likely to have a stronger earning potential.
Specialization may matter more: Skills in in-demand areas like data engineering, cloud computing, and AI can help professionals move to higher-paying roles sooner.
Continuous upskilling will remain important: Keeping up to date with emerging technical skills can help professionals stay competitive as data science roles continue to evolve.

Conclusion

Data science salaries in India vary by job role, experience, location, and skill set. The key is to upskill and stay relevant to keep improving your overall earning potential. Online BCA and MCA degree programs available through Online Manipal help learners build relevant skills in data science and related areas. Reputed universities like Manipal University Jaipur (MUJ) and Sikkim Manipal University (SMU) offer these programs, helping learners build expertise in AI, machine learning, and analytics while supporting career growth and earning potential.

FAQs

1. What is the average data science salary in India in 2026?

The average salary of a data scientist with around 1-3 years of experience is estimated at INR 11.3 LPA to INR 12.5 LPA in 2026 (approx.). This may vary significantly based on experience, job role, location, technical skills, and employer. Entry-level professionals may start with moderate packages, and with experience and specialized skills in AI, machine learning, and analytics, they can command higher salaries.

2. What is the data scientist salary per month in India?

A data scientist’s monthly salary in India is between INR 94,000 and INR 1,04,000 (approx.). This is only an estimate; actual earnings depend on experience, skills, location, and organization.

3. What is the data scientist salary for freshers in India?

The average annual salary for a data scientist in a fresher or entry-level role is around INR 5 LPA – INR 8 LPA (approx.). Salaries for freshers in the field may vary depending on their qualifications, technical skills, location, and employer. Fresh graduates with knowledge of Python, SQL, statistics, machine learning, and data analytics can command higher salaries gradually by building hands-on projects and earning relevant certifications to strengthen their career prospects.

4. Which company pays the highest data scientist salary in India?

No single company consistently pays the highest data scientist salary in India. Compensation typically varies by role, experience, skills, and location. However, large technology firms, global organizations, financial services companies, and specialized AI firms generally offer competitive packages. Some of these include (entry-level salaries):

Atlassian – INR 62.6 LPA – INR 76.1 LPA (approx) for professionals with 1-3 years of experience
Facebook – INR 36 LPA – INR 53.6 LPA (approx) for professionals with 0-1 years of experience
Coursera – INR 40.9 LPA – INR 45.2 LPA (approx) for professionals with 1-3 years of experience

5. Which city pays data scientists the most in India?

Gurugram in Delhi NCR is among the leading cities for data science opportunities in India, with strong demand from technology companies and startups. An average of INR 16.8 LPA – INR 18.6 LPA can be earned by data science professionals in the city, based on the employer, role, experience, and specialized skills.

6. Can a data scientist earn ₹1 crore in India?

Yes, a data scientist can potentially earn INR 1 crore or higher in India; however, this is generally associated with senior-level roles, extensive experience, specialized expertise, or leadership roles in the industry. Strong skills in AI, machine learning, GenAI, and data engineering can further improve earning potential.

7. Does Gen AI knowledge increase data scientist salary in India?

GenAI skills can improve a data scientist’s career prospects, as many organizations in India are increasingly exploring generative AI applications. Knowledge of large language models, prompt engineering, AI tools, and model development can complement traditional data science skills. However, salary increases cannot be guaranteed and largely depend on experience, role, employer, and overall technical expertise.

8. Is data science still a good career in India in 2026?

Yes, data science remains a promising career option in India in 2026, particularly as businesses are increasingly adopting data, AI, and automation. Professionals with a strong foundation in statistics, programming, machine learning, and analytics can explore opportunities across multiple industries. Continuous upskilling is particularly important as technologies and job requirements continue to evolve.

References:

https://www.ambitionbox.com/profile/data-analyst-salary

https://www.ambitionbox.com/profile/data-scientist-salary

https://www.ambitionbox.com/profile/machine-learning-engineer-salary

https://www.ambitionbox.com/profile/data-engineer-salary

https://www.ambitionbox.com/profile/senior-data-scientist-salary

https://www.ambitionbox.com/profile/jr-dot-data-scientist-salary

https://www.ambitionbox.com/profile/principal-data-scientist-salary

https://www.ambitionbox.com/profile/data-architect-salary

https://www.ambitionbox.com/profile/data-scientist-salary?tag=public

https://www.ambitionbox.com/profile/data-scientist-salary?tag=fortune500

https://www.ambitionbox.com/profile/data-scientist-salary?tag=startup