Data Scientist Salary is one of the most lucrative in the tech industry, companies are more demanding towards data-driven decision making. With businesses increasingly depending on big data, artificial intelligence and machine learning, data-scientists play an important role in analyzing complex datasets and also providing valuable insights.
The salary of a data scientist varies based on various factors such as experience, skills, location and also industry. Entry-level data scientists can expect competitive pay according to the market, while experienced data science professionals with expertise in deep learning, cloud computing and AI earn even higher salaries comparatively. Countries like India and the US offer attractive salaries.
In this blog we will be covering data scientist salary trends, comparison across regions and insights into salaries at leading companies. Whether you’re a beginner or an experienced professional, understanding salary expectations can really help you plan a successful career in data science.
What is Data Science ?
Data Science is a wide field that uses mathematical or scientific methods, algorithms and business knowledge to extract valuable insights from the structured and unstructured data. It combines various domains including statistics, computer science and domain expertise to analyze and manage large and complex datasets. Data Science involves various steps including data collection through various sources, data cleaning, data exploration, statistical analysis and data visualization.
Data Scientists build models using various techniques like machine learning, deep learning and artificial intelligence. These models are used to predict trends, uncover patterns, and solve complex problems in various industries including healthcare, finance, retail , marketing and IT. Data Scientist needs to cover tools and technologies such as SQL, Hadoop and Spark to work with large and complex datasets.
Data Scientist Salary in India
The salary of a data scientist in India is based on various factors like experience, location and industry. The table below provides you an estimated salary range for data scientists according to their experience level :
| Experience Level | Average Annual Salary (INR) |
| Entry-Level (0-2 years) | ₹6 – ₹10 LPA |
| Mid-Level (3-5 years) | ₹10 – ₹20 LPA |
| Senior-Level (6-10 years) | ₹20 – ₹35 LPA |
| Expert (10+ years) | ₹35+ LPA |
Top-Paying Cities for Data Scientists in India
| City | Average Annual Salary (INR) |
| Bangalore | ₹10 – ₹30 LPA |
| Mumbai | ₹8 – ₹25 LPA |
| Delhi NCR | ₹8 – ₹22 LPA |
| Hyderabad | ₹7 – ₹20 LPA |
| Chennai | ₹7 – ₹18 LPA |
| Pune | ₹7 – ₹17 LPA |
Top Industries Hiring Data Scientists in India
| Industry | Average Annual Salary (INR) |
| IT & Software | ₹8 – ₹25 LPA |
| Finance & Banking | ₹10 – ₹30 LPA |
| E-commerce | ₹9 – ₹28 LPA |
| Healthcare | ₹7 – ₹20 LPA |
| Consulting | ₹8 – ₹22 LPA |
Salary can vary based on your technical skill, certifications, and the company’s reputation. Data Scientists with great knowledge in AI, Machine Learning, and Cloud Computing often earn higher salaries.
Data Scientist Salary at Top Companies
The Salary of data scientist in top tech firms and multinational corporations is competitive and they tend to pay higher salaries.
Below is the list given with that you will able to understand compensation of data scientist.
Data Scientist Salary at Top Companies in India
| Company | Average Annual Salary (INR) | Experience Level |
| ₹15 – ₹40 LPA | Mid to Senior | |
| Microsoft | ₹14 – ₹35 LPA | Mid to Senior |
| Amazon | ₹12 – ₹30 LPA | Entry to Senior |
| Facebook (Meta) | ₹18 – ₹45 LPA | Mid to Senior |
| TCS | ₹6 – ₹15 LPA | Entry to Mid |
| Infosys | ₹7 – ₹18 LPA | Entry to Mid |
| Accenture | ₹8 – ₹22 LPA | Entry to Senior |
| IBM | ₹9 – ₹25 LPA | Entry to Senior |
Data Scientist Salary at Top Companies in the US
| Company | Average Annual Salary (USD) | Experience Level |
| $120K – $200K | Mid to Senior | |
| Microsoft | $115K – $190K | Mid to Senior |
| Amazon | $110K – $180K | Entry to Senior |
| Facebook (Meta) | $130K – $220K | Mid to Senior |
| Apple | $125K – $210K | Mid to Senior |
| Netflix | $140K – $250K | Mid to Senior |
| Tesla | $110K – $190K | Entry to Senior |
| IBM | $100K – $170K | Entry to Senior |
Conclusion
A data scientist salary is among the highest in the tech industry, reflecting the data-driven decision making market in the industry. Salaries are based on various factors such as experience, location, industry and company. Entry-level data scientists can expect competitive pay, while mid-level and senior professionals earn relatively more.
In India, salaries range from ₹6 LPA for beginners to ₹35+ LPA for experienced professionals, with Bangalore, Mumbai, and Delhi offering the highest pay. In the US, data scientists at top companies like Google, Amazon, and Meta can earn between $100K and $250K annually.
As industries continue to adapt AI and data analytics, the demand for highly skilled data scientists will grow rapidly, leading to even more attractive and competitive packages around the tech industry. Whether you are starting your career or looking to advance in the field, acquiring relevant technical skills and staying updated with industry trends will ensure long-term success and high earning potential.