Highest Paying Jobs In Data Science with Average Salary
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Highest Paying Jobs In Data Science with Average Salary

Team Careers360Updated on 17 Sep 2025, 11:44 AM IST

Data Science has become one of the fastest-growing and highest-paying fields in recent years. There is an increased demand for professionals in the field of data science as the world is significantly relying on data-oriented decision-making. If you are interested in pursuing a career in this field, understanding the highest-paying jobs can help you make a better career decision. Let us explore some of the best and top-paying jobs that can help you make a better career decision. Let us explore some of the best and top-paying data science jobs in India that aspirants can pursue in 2025.

Highest Paying Jobs In Data Science with Average Salary
Highest Paying Jobs In Data Science

Data Scientist

A data scientist plays a key role in handling large volumes of data to draw insights and conclusions. They use data to fuel the growth of the company through these insights, data products or product recommendations. To perform such tasks, various tools are needed, including the development of complicated models, data visualisation methods, and coding. So fundamentally, a data scientist is a professional who is skilled at these tools and has the ability to solve real company problems by using data.

Key Skills Required:

  • Programming

  • Version Control Systems

  • SQL and Database Management

  • Machine Learning

  • Data Preprocessing and Visualisation

Average Salary: Rs. 4 Lakhs - Rs. 29.3 Lakhs annually for 1 to 8 years of experience.

(Salary Source: Ambitionbox)

Machine Learning Engineer

After graduation, are you interested in a career in engineering that focuses on developing models for real-world applications using machine learning? For aspiring individuals, the role of a Machine Learning Engineer is a great opportunity. The relevance of this role is reflected in many technologies that we incorporate into our daily lives, such as recommendation systems, fraud detection and chatbots.

Key Skills Required:

Skilled in

  • TensorFlow, Keras, PyTorch

  • Scikit-learn, XGBoost

  • AWS SageMaker, Azure ML

To aim for a higher-paying position in this field, cloud certification (AWS/GCP) and experience in model deployment (MLOps) can be beneficial

Average Salary: Rs. 3.4 Lakhs - Rs. 24.7 Lakhs annually for 1 to 6 years of experience.

(Salary Source: Ambitionbox)

Data Architect

Willing to invest your data science skills and knowledge in designing, structuring and maintaining large-scale databases and data infrastructure for organisations? Pursue a Data Architect role! With companies shifting towards cloud-based systems, the need for professionals who can handle huge data environments has increased considerably. By building strong knowledge in designing data models and warehouses along with skills to ensure data security and integrity, you can become a perfect candidate for this role

Key Skills Required:

Skilled in,

  • Snowflake

  • AWS Redshift

  • BigQuery

  • Databricks

  • Apache Kafka

Average Salary: Rs. 16 Lakhs - Rs. 53 Lakhs annually for 7 to 15 years of experience.

(Salary Source: Ambitionbox)

NLP Engineer (Natural Language Processing)

With the proliferation of chatbots and voice assistants, everyone is fascinated by the algorithms that help machines understand and process human language. If you seek a career in this specific discipline, the NLP Engineer role is the perfect answer. With proper training and qualification, you can secure high-paying opportunities as an NLP Engineer in top companies like Google, Wipro AI, Infosys, Observe AI and Yellow AI.

Key Skills Required:

  • Transformers, BERT, GPT, spaCY, NLTK

  • Speech-to-text and text-to-speech models

  • Sentiment analysis, topic modeling

Average Salary: Rs. 3 Lakhs - Rs. 25.5 Lakhs annually for 0 to 8 years of experience.

(Salary Source: Ambitionbox)

Also Read: Online Natural Language Processing Courses & Certifications

Conclusion

Data Science tops the list of best-paying careers in India. It offers some of the highest-paying jobs, especially for those in machine learning, Natural Language Processing and Data Architecture. The demand for professionals in this field will only rise in the coming years, providing great future opportunities for aspirants. By developing technical expertise, domain knowledge and relevant soft skills, you can be successful in securing a top-paying position in the field of data science in 2025.

You may also check - Data Scientist Salary in India

Frequently Asked Questions (FAQs)

Q: What is the average salary of a data analyst in India?
A:

In India, a data analyst with a working experience of 0 to 6 years in the field can expect to earn around Rs 2 Lakhs - Rs.14 Lakhs per year.

(Salary Source: Ambitionbox)

Q: What is the highest salary per month for a Data Scientist?
A:

The highest monthly salary of a data scientist with 8 years of experience can be around Rs 1.4 Lakh - Rs. 1.5 Lakh. 

(Salary Source: Ambitionbox)

Q: What is the average salary a data scientist earns in India?
A:

In India, a data scientist with work experience of 1 to 8 years can expect to earn around Rs 4 Lakhs - Rs. 29.3 Lakhs per year.

(Salary Source: Ambitionbox)

Q: What are the highest-paying jobs in data science for freshers?
A:

For freshers in India, several job opportunities in data science fields are available that offer higher starting salaries. Popular jobs include:

  • Junior data analyst

  • ML engineer Intern

  • NLP intern at start-ups and more

Q: What are the highest-paying jobs in data science in India?
A:

Some of the highest-paying jobs in data science in India include:

  • Data scientist

  • Machine learning engineer

  • NLP engineer

  • Data architect, and more

Questions related to

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Hello student,

When comparing NIT Jalandhar and PEC (Punjab Engineering College) for placements, both colleges offer good opportunities, but there are some differences to consider:

  1. Placement Rate : Both have strong placement rates, but PEC, being an older and more established institute, often attracts more high-profile companies, especially for core branches like CSE, ECE, and Mechanical.

  2. Average Package : PEC generally offers slightly higher average packages, particularly in branches like CSE and ECE, as it is located in Chandigarh, a corporate hub. NIT Jalandhar, however, also has competitive placements with good packages, especially for CSE.

  3. Location Advantage : PEC’s location in Chandigarh provides better internship and job opportunities due to proximity to corporate offices and industries compared to Jalandhar.

  4. Alumni Network : PEC has a longer-established alumni network, which can be beneficial for placements and networking.

Overall, PEC might have a slight edge in placements if both colleges offer the same stream. However, both institutions are reputable, so you can expect good placement support at either one.


I hope this answer helps you. If you have more queries then feel free to share your questions with us we will be happy to assist you.

Thank you and wishing you all the best for your bright future.


hello Aspirant ,

The study of Electronics and Communication Engineering with Specialization in Data science has become essential to cater the growing need for professionals and researchers to deal with the future challenges. You can go for a Masters in Science in fields like Telecommunication Engineering, Microelectronics & VLSI Design, Electronics Design and Technology, Wireless Communication, Signal Processing, Robotics, Embedded Systems or VLSI System Design. If you aspire for managerial roles, you can go for a Masters in B

Research and development

Electronics engineers can follow the M. Tech- Ph. D- Research path innovation and development is what interests them. Organizations like ISRO, DRDO, SAIL and BHEL lead in the research field and are ideal workplaces to engineer new and better technologies for the enhancement of the communication and signal systems.

hope this information was useful .

thank you .






BSc Data Science focuses on statistics, big data analytics, machine learning and related aspects which make you understand the problems/phenomena with respect to a set of real world data whereas BSc IT revolves around the processing and management of information in a systematic way through the subjects technical communication skills , data structure using c language, content management system, etc.
So you can have a rough idea about the two courses but which one is better is something only you can decide as you will know better which subject interests you more.

Hello Apu sarkar, Both the Universities are best for bsc and infastructure is also good but facilities are more in TIU like sports campus, wifi campus, and many more and they all are not in MAKAUT and placement is also good at TIU. So I personally preferred you to go for TIU.

Hope it will be helpful for you :)