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.
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:
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)
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)
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)
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
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)
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)
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)
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)
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
Some of the highest-paying jobs in data science in India include:
Data scientist
Machine learning engineer
NLP engineer
Data architect, and more
On Question asked by student community
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:
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.
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.
Location Advantage
: PEC’s location in Chandigarh provides better internship and job opportunities due to proximity to corporate offices and industries compared to Jalandhar.
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
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 .
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 :)