Top 10 Highest Salary of a Data Scientist in India [2025] – Salary Insights & Roles
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- jaro Education
- 31, May 2024
- 10:46 am
The Highest salary of a data scientist in India is expected to exceed ₹1.3 Cr per annum for positions such as Chief Data Officer (CDO) in 2025. With rapid growth in the tech industry, data science jobs are now plentiful. With job availability also comes financially lucrative data science job opportunities.
What is Data Scientist?
Data scientists have to gather, examine, and derive meaning out of complicated and big data sets to arrive at some insight to draw data driven-decisions. They use statistical and computational methods of cleaning, processing, and transforming raw data into useful information. Data scientists are able to bring their skills to bear on all kinds of data: structured data (numbers, dates); unstructured data (text, images), and so on. Data scientists will work together with various stakeholders, such as business managers and engineers, as well as other data specialists, in order to hear about the thoughts of the business and bring back to them insights that will assist the organization in meeting its goals. A data scientist works in different fields such as e-commerce, social media, finance, and health care.
Top 10 Highest Salary of a Data Scientist in India [2025]
| Rank | Data Science Job Opportunities | Mid-Level Salary (INR) | Advanced-Level Salary (INR) | Top Locations |
|---|---|---|---|---|
| 1. | Chief Data Officer (CDO) | ₹35 – ₹60 LPA | ₹80 LPA – ₹1.3 Cr | Bengaluru, Mumbai, Hyderabad |
| 2. | AI Research Scientist | ₹18 – ₹30 LPA | ₹35 – ₹42 LPA | Bengaluru, Pune, Chennai |
| 3. | Data Architect | ₹20 – ₹28 LPA | ₹30 – ₹35 LPA | Bengaluru, Hyderabad, Delhi NCR |
| 4. | Machine Learning Engineer | ₹12 – ₹18 LPA | ₹20 – ₹30 LPA | Bengaluru, Gurugram, Pune |
| 5. | Big Data Engineer | ₹10 – ₹16 LPA | ₹18 – ₹22 LPA | Bengaluru, Chennai, Noida |
| 6. | Quantitative Analyst (Quant) | ₹12 – ₹20 LPA | ₹25 – ₹42 LPA | Mumbai, Hyderabad, Delhi NCR |
| 7. | Data Scientist | ₹10 – ₹15 LPA | ₹18 – ₹22 LPA | Bengaluru, Hyderabad, Pune |
| 8. | Data Engineer | ₹8 – ₹12 LPA | ₹15 – ₹20 LPA | Bengaluru, Noida, Pune |
| 9. | Business Intelligence Developer | ₹6 – ₹10 LPA | ₹11 – ₹14 LPA | Mumbai, Bengaluru, Hyderabad |
| 10. | Data Analyst | ₹5 – ₹8 LPA | ₹9 – ₹12 LPA | Delhi NCR, Mumbai, Chennai |
Salaries are approximate and based on data from AmbitionBox, Glassdoor, and industry reports as of mid-2025.
1. Chief Data Officer (CDO) – ₹47.3 LPA Avg. Salary
The highest salary of a data scientist in India is the CDO, and the position focuses on data strategy, governance, and innovation at the organizational level. This is an executive-level position.
Key Responsibilities:
- Managing enterprise data architecture measures and governance.
- Ensuring data initiatives align with the business objectives.
- Overseeing data analyst teams, data engineer teams and data governance.
Required Skills:
Leadership skills, strategic thinking, data privacy laws, and project management.
2. AI Research Scientist – ₹10 - ₹42 LPA
AI Scientists take the lead in AI’s future by developing new algorithms in natural language processing, computer vision, deep learning, etc., and making a data scientist’s salary in India.
Key Responsibilities:
- Develop and publish artificial intelligence models.
- Research and experiment in certain frameworks—TensorFlow, PyTorch.
- Collaborate with academic and enterprise research and development on product solutions.
Required Skills:
Deep learning, Python or C++, research-based thinking, and advanced machine learning.
3. Data Architect – ₹24.5 LPA Avg. Salary
Being a Data Architect is crucial in the process of creating data solutions that scale. A Data Architect works on how enterprise data is structured for future use and how data is accessed.
Key Responsibilities:
- Develop data models that are robust.
- Design cloud architectures and ETL pipelines.
- Make sure everything is compliant and secure.
Required Skills:
SQL, Snowflake, Redshift, DataVault, data modelling.
4. Machine Learning Engineer – ₹10.2 LPA Average Salary
ML Engineers put into operation AI models built by Data Scientists and scale the models for production.
Key Responsibilities:
- Deploy metrics and monitor ML models.
- Track optimization and performance in real-time systems.
- Automate the retraining pipeline.
Skills Required:
Python, MLflow, TensorFlow, MLOps, Docker/Kubernetes.
5. Big Data Engineer – ₹10.8 LPA Average Salary
Big Data Engineers build systems for processing large amounts of data with modern data stacks.
Key Responsibilities:
- Build streaming and batch data pipelines.
- Work with distributed systems like Hadoop, Kafka, and Spark.
Skills Required:
Scala, Hive, Airflow, AWS/GCP, real-time data architecture.
6. Quantitative Analyst (Quant) – ₹22.8 LPA Average Salary
Quants are generally popular in the finance and fintech industries for building mathematical models for assessing risk and pricing of financial instruments.
Key Responsibilities:
- Build tools for calculating risks and building financial simulations.
- Analyze market reactions and optimize algorithmic trading models.
Skills Required:
Python/R/Matlab, probabilities, derivatives, statistics.
7. Data Scientist – Avg. Salary ₹12 LPA
The most well-known role in the industry. Data scientists are going to use data to determine an insight into business decisions.
Key Responsibilities:
- Build ML model, data wrangling, and visualization.
- Work with product teams by providing data-backed strategies.
Skills Required:
Python, SQL, Tableau/Power BI, statistics, A/B testing.
8. Data Engineer – Avg. Salary ₹10 LPA
A Data Engineer prepares data for analysis. Your job is to build the infrastructure that backs up fast data access, as well as improve data integrity.
Key Responsibilities:
- Build an ETL pipeline.
- Monitor the flow of data between systems.
Skills Required:
Python, SQL, Spark, Kafka, Azure Data Factory.
9. Business Intelligence Developer – Avg. Salary ₹6 LPA
BI Developers design and develop dashboards and reports to present analysis in a way that executives and other business decision-makers understand.
Key Responsibilities:
- Create visual dashboards that are interactive.
- Automate reporting and build complex queries.
Skills Required:
Tableau, Power BI, DAX, SQL, Looker.
10. Data Analyst— Avg. Salary ₹6.5 LPA
The entry point into data. Data analysts work with data sets to determine patterns and support the functions of the business on a daily basis.
Key Responsibilities
- Make reports based on data sets and determine trends.
- Clean data to validate that the data is correct.
Skills Required:
Excel, SQL, basic Python/R, visualization tools.
What Is the Highest Salary of a Data Scientist in India in 2025?
Nowadays, the highest salary of a data scientist in India is for senior leadership roles like Chief Data Officer (CDO)—with packages between ₹80 LPA – ₹1.3 Cr per annum. These roles require a strong technical background combined with senior business leadership.
At mid-senior level, roles such as AI Research Scientist and Machine Learning Engineer also see high packages. The highest package in data science being offered for data science in these roles is ₹35-42 LPA.
As businesses in finance, health care, e-commerce, and telecom continue to invest in data analytics and AI, the demand – and the highest salary of a data scientist in India – will only continue to rise.
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Conclusion
By 2025, the field of data science will have more and more opportunities in India, both exciting and satisfying. The opportunities in the sector are enormous because salaries rise through the ranks, skills increase, and Job security is high, starting in an entry-level position such as a Data Analyst and reaching the C-level to become a Chief Data Officer.
You can aim for the top highest salary of a data scientist in India, or you may just wish to begin your journey with a brilliant beginning. It is the right time to upskill. Learn to work with master tools, such as Python, Power BI, machine learning systems, and big data technologies, to add value to your market.
As it was mentioned before, the road to becoming the highest-paid data scientist in India begins with developing practical skills and keeping up with tech advancements.
Become a data scientist and secure one of the hottest and best-paid jobs in India right now!
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