Top 15 Jobs for Data Science Highest Salary in India 2025

Data science is pivotal in today’s world, fueling data-driven decisions, enhancing business strategies, and driving industry growth. With the explosion of digital transformation, the expansion of big data, and the adoption of AI, the need for skilled data scientists has surged.

Companies increasingly rely on these experts to navigate vast data landscapes and make informed strategic decisions.

The high earning potential for data science professionals reflects this demand, especially in top tech and analytics firms. Data science highest salary in India roles like Data Scientists, Machine Learning Engineers, and Data Analysts are among the most lucrative, offering rewarding career growth opportunities.

As reported by The Economic Times, the global job market is expected to see the creation of 11.5 million new data science positions by 2026. Additionally, the data analytics market is projected to grow by 25% from 2021 to 2030. As demand grows, the value of the highest-paying careers in data science also increases, which provides career stability and advancement.

Read on to explore the top 15 Jobs for Data Science Highest Salary in India and discover which position might be the best fit for your skills and career goals!

Key Highlights:

Explore the data science highest salary in India in the table below for various positions like Data Scientist, Machine Learning Engineer, and more:

Sourced By: Glassdoor

Note: The salaries mentioned in the table are approximate and may vary depending on the experience and employer.

Which are the Top Jobs for Data Science Highest Salary in India?

Data science careers are among the most lucrative in India, particularly in senior roles, where expertise in big data, AI, and machine learning is highly valued. 

With the increasing importance of data-driven decision-making, companies across various sectors offer competitive salaries to attract skilled data professionals. 

Here, we look at the data science highest salary in India roles, including job descriptions, responsibilities, and average salaries across top cities in India.

15. Statistician

Statisticians use mathematical models to make sense of data and support decision-making. The average income for a Statistician in India is approximately INR 6L annually as per the ambition box.

The primary duties and tasks of a Statistician are as follows:

• Analyze data using statistical methods
• Conduct surveys and interpret results
• Provide statistical insights to guide decisions

Explore the average annual salary of a Statistician in major cities across India:

Sourced By: Ambition Box

14. Data Analyst

Data Analysts interpret data to support business operations and decision-making processes. The average annual salary of a Data Analyst in India is generally around INR 6.5L.

The main duties of a Data Analyst are mentioned below:

• Collect and clean data for analysis.
• Create reports and visualizations.
• Identify patterns and trends in data.

The table below highlights the average annual salary of Data Analyst in top cities of India:

Sourced By: Glassdoor

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13. Computer Vision Engineer

Computer Vision Engineers develop AI models that enable machines to interpret visual data. The yearly salary for a Computer Vision Engineer in India averages around INR 7.65L.

Let’s explore the primary role and duties of a Computer Vision Engineer:

• Design and implement image processing models
• Test and improve visual recognition systems
• Collaborate on projects involving visual data

Here’s the typical annual income for Computer Vision Engineers in key cities throughout India:

Sourced By: Glassdoor 

12. Database Administrator

Database Administrators maintain and secure databases to ensure data availability and performance. For Database Administrators in India, the average yearly salary is about INR 8L.

The main functions and responsibilities of a Database Administrator include:

• Manage and optimize databases
• Implement data backup and recovery
• Ensure data security and compliance

Let’s break down the annual salary of a Database Administrator in India’s biggest cities:

Sourced By: Glassdoor

11. NLP (Natural Language Processing) Engineer

NLP Engineers develop systems that interpret human language in a computational form. In India, the average yearly salary for a NLP Engineer is around INR 8.5L.

These are the essential responsibilities of a NLP Engineer:

• Build NLP models for text processing
• Fine-tune algorithms to improve accuracy
• Integrate NLP into applications

Here’s what NLP Engineer generally earn per year in some of India’s top cities:

Sourced By: Glassdoor & Ambition Box

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10. Business Intelligence (BI) Analyst

BI Analysts transform data into actionable insights to support business goals. In India, the average yearly salary for a Business Intelligence Analyst is around INR 9L.

Here’s an overview of what a Business Intelligence Analyst is responsible for:

• Develop dashboards and reporting tools
• Analyze market and customer data
• Collaborate with stakeholders for strategy alignment

Here’s what Business Intelligence Analyst generally earn per year in some of India’s top cities:

Sourced By: Glassdoor

Also Read: Business Analysis Vs Business Intelligence

9. Research Scientist

Research Scientists focus on exploring and developing new data science methodologies. The average annual salary of a Research Scientist in India is approximately INR 11L.

The main duties of a Research Scientist are mentioned below:

• Conduct research to advance data science
• Publish findings in scientific journals
• Develop new models and algorithms

The table below highlights the average annual salary of Research Scientist in top cities of India:

Sourced By: Glassdoor

8. Big Data Engineer

Big Data Engineers specialize in handling and processing massive datasets. On average, Big Data engineers in India make about INR 11L per year.

A Big Data Engineer generally handles these main responsibilities:

• Develop and manage big data tools and systems
• Ensure efficient data storage and retrieval
• Work with Hadoop, Spark, and other big data technologies

Find out the average annual salary of a Big Data Engineer in leading Indian cities:

Sourced By: Ambition Box

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7. Data Engineer

Data Engineers build and maintain systems that manage and analyze data. They can earn around INR 11L per year in India.

Data Engineers main duties are:

• Develop and maintain data pipelines
• Design data architecture solutions
• Ensure data quality and accessibility

Take a look at the average yearly salary for Data Engineers across India’s major cities:

Sourced By: Glassdoor

Must Read: Best Data Engineering Courses & Certifications Online

6. Machine Learning Engineer

Machine Learning Engineers design, build, and deploy machine learning models for data-driven applications. The average annual salary of a Machine Learning Engineer in India is approximately INR 12L.

The main role and responsibilities of a Machine Learning Engineer are:

• Create machine learning models and algorithms.
• Test and optimize models for better accuracy.
• Integrate models into production systems.

Here is the average annual salary of Machine Learning Engineer in top cities of India:

Sourced By: Glassdoor

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5. Artificial Intelligence (AI) Engineer

AI Engineers develop AI models to solve complex problems and enhance business efficiency. The yearly salary for an Artificial Intelligence Engineer in India averages around INR 13L.

The core role and functions of an Artificial Intelligence Engineer involve:

• Design and implement AI models
• Collaborate with cross-functional teams
• Integrate AI into existing systems

Here are the Artificial Intelligence Engineers average salaries per year across India’s main cities:

Sourced By: Ambition Box

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4. Data Scientist

Data Scientists analyze and interpret complex data to help companies make strategic decisions.  India’s average annual salary for a Data Scientist is roughly INR 13.5L.

Their Roles & Responsibilities are:

• Extract, process, and analyze large datasets.
• Develop predictive models and algorithms.
• Interpret data trends for business solutions.

The table below mentions the average annual salary of Data Scientists in top cities of India:

Sourced By: Glassdoor

Note: The salaries mentioned in the table are approximate and may depend on the experience and employer.

Start your career with upGrad's Data Science Courses to learn the skills that top employers value!

3. Data Mining Engineer

Data Mining Engineers focus on extracting valuable insights from large data sets. India’s average annual salary for Data Mining Engineers is roughly INR 14L.

Here’s what a Data Mining Engineer is mainly responsible for:

• Develop data mining algorithms
• Identify trends and correlations in data
• Generate insights for business strategies

Here is the average annual salary of Data Mining Engineers in top cities across India:

Sourced By: 

2. Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data and risk. A Quantitative Analyst in India generally earns about INR 19L annually.

Outlined below are the main tasks of a Quantitative Analyst in India:

• Develop quantitative models
• Conduct data analysis for financial forecasting
• Advise on risk management strategies

Here’s an overview of the annual salaries for Quantitative Analyst  in India's top cities:

Sourced By: Glassdoor

1. Data Architect

Data Architects design and manage the data infrastructure to ensure smooth data flow and access. On average, Data architects in India make about INR 28L per year. This job is the number #1 position among the highest-paying jobs in the data science field in India.

A Data Architect generally handles these main responsibilities:

• Create and optimize database structures
• Ensure data integrity and security
• Collaborate on data strategy initiatives

Find out the average annual salary of Data Architects in leading Indian cities:

Sourced By: Glassdoor

What are the Top Recruiters for Data Science Highest Salary in India?

Data science professionals are in high demand across various industries in India. Organizations in IT, finance, healthcare, and e-commerce are actively seeking skilled data scientists to harness data-driven insights and improve their business outcomes. 

Top recruiters that offer data science the highest salary in India include Accenture, Deloitte, and Tata Consulting Services, with strong demand across industries.

Experience requirements for data science highest salary jobs in these companies include:

• Entry-Level Roles: 1-3 years of experience
• Mid-Level Roles: 3-7 years of experience
• Senior-Level Roles: 8+ years of experience

Here are the top 10 recruiters for highest-paying data science jobs in India:

Sourced By: Glassdoor

How to get the Data Science Highest Salary in India?

Securing one of the highest-paying jobs in data science requires a combination of strong technical skills, hands-on experience, and strategic career planning. 

By focusing on skill development, networking, and gaining relevant experience, you can increase your chances of getting the highest-paying jobs in data science in India. 

Here’s a step-by-step guide to help you achieve this goal:

Step 1. Obtain Relevant UG and PG Education:

• Start with a UG degree in computer science, data science, mathematics, or statistics to build a strong technical foundation.
• Consider a Master’s in Data Science, Machine Learning, or Artificial Intelligence to advance your expertise and qualify for higher-paying roles.

Step 2. Build a Strong Foundation in Data Science:

• Develop proficiency in programming languages like Python and R, as well as data manipulation and statistical analysis.
• Get comfortable with tools like SQL and Hadoop, which are essential in data science.

Step 3. Pursue Relevant Certifications:

• Complete industry-recognized certifications to validate your skills and knowledge.
• Take certifications in machine learning, big data, or AI to set yourself apart in the job market.

Step 4. Gain Hands-On Experience:

• Build a portfolio with practical projects that showcase your skills.
• Start with internships or freelance roles to gain industry experience.

Step 5. Develop Problem-Solving Skills:

• Practice breaking down complex data challenges into manageable tasks.
• Participate in online data science competitions to sharpen your problem-solving abilities.

Step 6. Network with Industry Professionals:

• Join conferences, workshops, and webinars to meet industry experts.
• Connect with professionals and stay updated on job opportunities.

Step 7. Prepare for Technical Interviews:

• Review questions on data analysis, algorithms, and statistics.
• Practice coding on platforms like LeetCode to strengthen your technical skills.

Step 8. Keep Learning and Stay Updated:

• Keep up with the latest developments in data science, AI, and machine learning.
• Continuously learn new techniques and tools to stay competitive.

Follow these steps to secure one of the data science highest salaries in India job roles by gaining the right skills, certifications, and networking.

Here’s a breakdown of the essential qualifications:

1. Undergraduate Degree: Bachelor’s in computer science, data science, statistics, math, or engineering.
2. Postgraduate Degree (Preferred): Master’s in Data Science, Machine Learning, or AI for senior roles.
3. Programming Skills: Proficiency in Python, R, and SQL for data manipulation.
4. Statistical Skills: Strong knowledge of statistics, probability, and data analysis.
5. Machine Learning: Understanding of algorithms and models for core data science tasks.
6. Data Visualization: Experience with Tableau, Power BI, or Matplotlib for visual insights.
7. Certifications: Recognized certifications in data science, AI, or big data enhance career prospects.

What are the Qualifications Required for Data Science Highest Salary in India?

To get into the highest-paying data science jobs in India, candidates generally need a combination of formal education, technical skills, and specialized certifications. 

For data science highest salary in India jobs, candidates generally need a Bachelor’s in Computer Science or Data Science and advanced qualifications like a Master’s in AI or Machine Learning.  

How can upGrad help you?

upGrad offers comprehensive support to students aiming to pursue a career in data science through its specialized data science courses. 

With a flexible learning environment, expert mentorship, and industry-relevant content, upGrad provides a structured pathway for learners to gain the necessary skills and knowledge to excel in the field.

Here’s what the program includes:

• Industry-Relevant Curriculum: The course covers essential data science topics such as machine learning, statistics, Python, and data visualization, ensuring that you gain the skills employers demand.
• Flexible Learning: The online learning platform allows you to study at your own pace, making it easier to balance other commitments while advancing your data science knowledge.
• Expert Mentorship: Get guidance and support from experienced mentors who are professionals in data science, helping you solve complex problems and enhance your learning experience.
• Hands-On Projects: Work on real-world data science projects to build practical experience and create a portfolio that showcases your expertise to potential employers.
• Career Assistance: Receive job placement support, including resume reviews, interview preparation, and networking opportunities with leading companies in the data science field.
• Certification from Leading Universities: Earn a certificate upon completion of the program, backed by top universities like IIIT Bangalore, which enhances your credibility in the data science job market.

Additionally, if you’re looking for personalized guidance, book a free counseling session to help you guide your career in data science.

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