Data Scientist Salary in India 2026: Complete Overview
Updated: 26 June 2026, 4:37 pm IST
In India, the average salary of a data scientist in India typically ranges from ₹7L to ₹19.6L/yr, with a starting average of around ₹5 lakhs per year. Do you know that jobs like data scientists, data analysts, and machine learning engineers are among the highest-paying job roles that are based on data science?
With competitive salaries that reflect the high value placed on data expertise, pursuing a data science course is not just a financially rewarding choice but also a pathway to a dynamic and impactful profession.
Choosing a career in data science is more than just a smart financial decision; it's an opportunity to be at the forefront of technological innovation and problem-solving
If you are curious to know about the data scientist salary in India and the top recruiters who hire data scientists, then your search ends here to get all the apt information for the same.
Average Salary of a Data Scientist in India
What drives most people to this profession of data scientist is the lucrative salary package behind it. Experience is one of the key factors that determine the data scientist's salary in India, and such professionals may get job offers with salaries ranging between ₹7L to ₹19.6L/yr.
The data scientist salary for freshers is on the lower end, and the middle range in this salary bracket is for mid-level data scientists with experience of 2 to 5 years, whereas the higher end is for the experienced ones with experience of 5 to 10 years.
Data Scientist Salary Per Month in India
The data scientist salary per month working in India would fall somewhere between ₹80,000 and ₹125,000 based on certain aspects such as expertise, geography, and skills, among others. The annual remuneration of a data scientist ranges from ₹7L to ₹19.6L/yr.
Data Scientist Salary For a Fresher
The salary of a Data Scientist for a fresher ranges from ₹5L to ₹ 13.0L per year. Data scientists with knowledge of technologies such as Python, SQL, machine learning, and data visualization can expect to earn a good salary.
Salaries for Entry-Level Data Scientists (0-2 Years Experience)
As entry-level data scientists learn to become proficient data scientists, their pay increases steadily over the first few years after graduation.
| Years of Experience | Salary Range |
|---|---|
| 0-1 Year | ₹5L to ₹11.0L/y |
| 1-2 Years | ₹6-15 LPA |
Salary of a Data Scientist Depending on Experience (1-10+ Years)
Experience plays a crucial role when it comes to determining the salary of a data scientist. With increasing seniority and moving into management positions, data scientists can significantly increase their salaries.
| Level of Experience | Average Income |
|---|---|
| 1-3 Years | ₹6-15 LPA |
| 4-6 Years | ₹9 -20 LPA |
| 7-10 Years | ₹20-35 LPA |
| Above 10 Years | ₹35 LPA-₹1 Crore+ |
Experienced data scientists with knowledge of artificial intelligence, machine learning, and management can expect high salaries.
Salary Offered to a Data Scientist (City-Wise Breakdown)
There are many aspects that can influence the salary offered to the data scientist, such as location, number of professionals available, standard of living, and technological companies in the city.
| City Average | Annual Salary |
|---|---|
| Bangalore | ₹7L - ₹19.6L/yr |
| Hyderabad | ₹7-17 LPA |
| Delhi NCR | ₹6-16 LPA |
| Mumbai | ₹7-16 LPA |
| Pune | ₹6-15 LPA |
| Chennai | ₹6-16LPA |
| Kolkata | ₹5-15 LPA |
Bangalore is known as the city that offers high salaries to data scientists due to the presence of large technological companies and artificial intelligence-based firms in this city. However, the demand for data scientists is rising in other major cities as well, including Hyderabad, Mumbai, Delhi NCR, and Pune.
Data Scientists' Salaries Depending on Industry
The industry in which the data scientist works is an important criterion in determining his/her salary.
| Industry | Salaries |
|---|---|
| IT & Software | ₹8-20 LPA |
| E-commerce | ₹10-22 LPA |
| BFSI/Banking | ₹9-25 LPA |
| Consulting | ₹10-24 LPA |
| Healthcare/Pharma | ₹8-18 LPA |
| Telecoms | ₹7-16 LPA |
Data scientists with knowledge in finance, consulting, and e-commerce will receive better salaries because of the high demand.
Data Scientist Salary Based on Company Types
The salary you may get as a data scientist will depend a lot on the company you’re working for. If you are working with a startup, the range will be on the lower side, but if you are associated with mid-sized companies or product-based firms, you can expect good salaries.
| Company Type | Companies | Typical Salary Range |
|---|---|---|
| Startups | Zepto, CRED, Meesho, Groww | ₹6-15 LPA |
| Mid-Sized Companies | Fractal Analytics, Mu Sigma, Tiger Analytics | ₹8-20 LPA |
| Multinational Companies (MNCs) | IBM, Accenture, Capgemini, Deloitte, Cognizant | ₹12-30 LPA |
| Product-Based Companies | Google, Microsoft, Amazon, Adobe, Walmart Global Tech | ₹15-40+ LPA |
| Consulting Companies | McKinsey, BCG, Bain & Company, EY, PwC | ₹10-25 LPA |
Note: Salary ranges vary based on experience, skills, location, educational background, and the company's hiring standards.
Highest Salary of Data Scientists in India
One of the best-paid careers in India is that of a data scientist. While most data scientists have a salary that starts at ₹7L to ₹19.6L/yr, the highest salaries go to data scientists who are in managerial roles or specialise in specific areas like artificial intelligence. As per the latest salary surveys, some of the best-paid data scientists in India earn between ₹1 crore and ₹2 crore+ yearly, based on company and industry.
| Some Best Paid Data Scientist Roles | Role Range |
|---|---|
| Senior Data Scientist | ₹20 – ₹40 LPA |
| Lead Data Scientist | ₹30 – ₹60 LPA |
| Principal Data Scientist | ₹50 LPA – ₹1 Crore + |
| Data Science Manager | ₹25 – ₹75 LPA |
| Director / Head of Data Science | ₹60 LPA – ₹2 Crore + |
Salaries of Data Scientists Based on Skill Sets
The salaries of data scientists depend heavily on their skill sets. Data scientists with experience in disciplines like artificial intelligence, machine learning, and big data earn higher than those with simple data analysis.
| Skills | Salaries |
|---|---|
| Python | ₹8-18 LPA |
| SQL | ₹6-15 LPA |
| Machine Learning | ₹10-25 LPA |
| Artificial Intelligence (AI) | ₹12-30 LPA |
| Deep Learning | ₹12-35 LPA |
| Big Data Technologies | ₹10-25 LPA |
| Data Visualisation (Power BI/Tableau) | ₹7-18 LPA |
Salary for an AI Data Scientist in India
AI data scientists receive good pay due to the increasing demand for skills in AI, machine learning, deep learning, and generative AI technology. There are several highly skilled AI data scientists who receive more than the mentioned average salary.
| Experience Level | Average Salary |
|---|---|
| Fresher (0-2 Years) | ₹9.5-12 LPA |
| Mid-level (3-5 Years) | ₹12-18 LPA |
| Senior (6+ Years) | ₹18.5-35 LPA+ |
Salary of Data Scientists Based on Educational Qualifications
Your academic qualifications will influence the level of starting salaries. Check out the details below:
| Educational Qualification | Starting Salary Rate |
|---|---|
| BSc Data Science salary | ₹4-8 LPA |
| BTech Data Science salary | ₹5-10 LPA |
| MSc Data Science salary | ₹6-12 LPA |
| MBA Data Science/Business Analytics | ₹8-18 LPA |
Those with graduate-level and management qualifications have better chances of getting high-paying jobs in analytics, consultancy, and management roles.
Data Analyst Salary vs Data Engineer vs Data Scientist Salary
Although all three careers work with data, they focus on different parts of the data lifecycle. Hence, their salaries are different as well. Here’s how:
| Job Role | Approximate Salary (INR) |
|---|---|
| Data Scientist | INR 700,000 - INR 18,00,000 |
| Data Analyst | INR 4,00,000 - INR 10,00,000 |
| Machine Learning Engineer | INR 6,00,000 - INR 16,00,000 |
| Data Engineer | INR 5,00,000 - INR 14,00,000 |
Also Read: Data Analyst Salary in India 2026: Industry Experience & City-Wise Pay
Which Factors Affect the Salary of a Data Scientist?
There are quite a few factors that may affect the salary a data scientist takes home. These factors are described below for your quick understanding:
- Certification and Qualification: The prime factor that affects the salary of a data scientist is education, which basically includes certification and qualifications. People with data science certifications from reputed institutes stand a chance to get higher salary packages as data scientists.
- Training and Experience: What plays a major role in deciding the salary of a data scientist is his/her experience and training. One who has several training certificates and wholesome experience in this field will be easily able to grab higher salary packages in any industry.
- Company Location and Size: Up next, you must note that the size and location of the industry where you apply for the post of a data scientist also play a vital role in deciding the salary of a data scientist.
- Industry Type: The type of industry where you are applying for the post of a data scientist also plays a deciding factor in your salary. For instance, data scientists in the healthcare or finance sectors can expect to get higher salary packages as compared to those in the education or retail sectors.
- Skillset: It is equally important to note that data science is a field that involves a lot of technical knowledge and skillsets. One must be skilled enough in data analysis, machine learning, and programming. Proficiency in such skills helps these people demand a higher salary as compared to someone with just basic skills.
Future Salary Trends in Data Science
Future employment opportunities for data scientists are promising as many businesses adopt advanced technologies such as artificial intelligence, machine learning, and data science.
Future trends include the following :
- There is a growing demand for experts in AI and machine learning.
- High salaries due to the rarity of specific skills.
- More job openings for roles in fintech, healthcare, and e-commerce.
- Greater need for executives and AI experts in data science.
- Growing salaries due to investment in AI and data science projects.
Also Read: What is the Scope of Data Science in 2026?
How to Increase Your Data Science Salary
Data scientists might be able to raise their salary level through improvement in their skill set and experience. This includes :
- Acquire knowledge in AI, machine learning, and deep learning.
- Learn in-demand skills through Python, SQL, Spark, etc.
- Obtain certification from credible institutes.
- Build a strong work portfolio.
- Explore job prospects within high-paying industries like finance and technology.
- Stay informed about the latest trends in AI and data science.
Who are the Top Recruiters for Data Scientists in India?
Eager to know who the top recruiters for data scientists are in India? To begin, you must understand that such professionals are in high demand not only in the IT industry but also in a variety of other sectors and domains. By completing a data science course, freshers and experienced professionals alike can unlock opportunities with some of the leading recruiters in India, such as tech giants, consulting firms, financial institutions, e-commerce platforms, and healthcare organisations.
- TCS
- IBM
- Cognizant
- Accenture
- Wipro
- Capgemini
- Amazon
- Infosys
- Deloitte
- Genpact
Conclusion
The salary of a data scientist in India reflects the high demand and value of this profession. Specialised roles and advanced positions can command even higher salaries, making data science a lucrative career choice. To capitalise on these opportunities and enhance your career prospects, pursuing an online data science course from Amity Online University can be a strategic move.
By enrolling in an online program from Amity Online University, you gain access to a robust educational platform that can significantly boost your employability and earning potential.
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frequently asked questions
What is the average salary of a data scientist in India in 2026?
+Data scientists get an average estimated salary between ₹7L to ₹19.6L/yr, depending on their experience level, location, and the compay they are working with.
What is the monthly salary of a data scientist in India?
+The salary per month of a data scientist in India will depend on their experience level, at around ₹80,000 to ₹1.25 lakhs.
What is the starting salary of a data scientist fresher?
+A data science fresher in India typically earns between ₹5 lakh and ₹11 lakh per year. However, this range depends on factors such as education, technical skills, certifications, location, and the hiring company. Graduates with strong skills in Python, SQL, machine learning, and data visualisation often get higher starting salaries.
Does a BSc in Data Science offer good salary opportunities?
+Yes. A BSc in Data Science can lead to strong salary opportunities. For instance, fresh graduates typically earn between ₹4 LPA and ₹8 LPA, which is good compared to some other domains. With experience, certifications, and specialised skills, salaries can increase significantly over time.
What is the salary after completing an MSc in Data Science?
+You can earn between ₹6 LPA and ₹12 LPA after obtaining a degree in MSc Data Science. Salaries can be higher for candidates with strong technical skills, internships, industry certifications, or experience in AI and machine learning.
Which degree provides the highest salary in data science?
+A higher postgraduate degree, such as an MSc, MTech, or MBA, along with technical skills, may help earn better pay. However, employers also place significant value on technical skills, industry certifications, project experience, and expertise in areas such as AI and machine learning.
Is Data Science a high-paying career in India?
+Yes, Data Science is one of the most rewarding jobs in finance, and there is a high demand from various sectors. Data scientists in India will get an estimated salary between ₹7L to ₹19.6L/yr, depending on their experience level.
Which industries pay the highest salaries to data scientists?
+Sectors offering the highest salary include the technology sector, finance sector, consulting firms, e-commerce organizations, and organizations that have artificial intelligence applications.
What skills can increase a data scientist's salary the fastest?
+Artificial intelligence, machine learning, deep learning, cloud computing, Python programming, and big data form part of the skillset necessary to earn more.
What is the difference between data analyst and data scientist salaries?
+A data analyst in India typically earns ₹4–10 LPA and focuses on collecting, analyzing, and visualizing data. A data scientist generally earns ₹8–20+ LPA and works on machine learning, predictive modeling, and advanced analytics. Data scientists usually earn more because their roles require specialized technical skills and expertise in AI and programming.
Do AI data scientists earn more than regular data scientists?
+In many cases, yes. AI data scientists often earn higher salaries because they work with advanced technologies. This includes machine learning, deep learning, natural language processing, and generative AI. These skills are in high demand across industries. So, depending on the industry, you can get better compensation and faster career growth.
What is the highest package offered to a data scientist in India?
+The highest package that top executives and data scientists earn is between ₹1 crore and ₹2 crores a year, depending on their performance.
How much can a data scientist earn after 5 years of experience?
+A newly graduated data scientist earns a salary of ₹12 LPA to ₹20 LPA per year with five years of work experience.
Which cities offer the highest salaries for data scientists in India?
+In India, data science professionals have better earning potential in Bangalore, Hyderabad, Mumbai, Delhi NCR, and Pune. These cities have more tech companies, startups, and large employers, which creates strong demand for data science professionals.
How can a fresher increase their data scientist salary within the first three years?
+A fresher can increase their salary by mastering high-demand skills such as machine learning, AI, Python, SQL, and cloud technologies. Industry certifications, strong project portfolios, and role upgrades can also lead to higher-paying opportunities within the first few years.

