{"id":7496,"date":"2026-06-02T08:00:48","date_gmt":"2026-06-02T08:00:48","guid":{"rendered":"https:\/\/apnaadvantage.com\/blog\/?p=7496"},"modified":"2026-06-02T08:00:48","modified_gmt":"2026-06-02T08:00:48","slug":"data-scientist-salary-india","status":"publish","type":"post","link":"https:\/\/apnaadvantage.com\/blog\/data-scientist-salary-india\/","title":{"rendered":"Data Science Salary in India: Freshers vs. Experienced"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

The past 5 years has witnessed explosive growth in data science jobs in India, and for good reason. Businesses now recognize that across virtually every industry, from banking to healthcare, they possess vast oceans of data and need professionals to help them understand and act on this information. As a result, data science has become one of the most in-demand and highest-paid professions in India.<\/p>\n\n\n\n

What does high paying really mean? As a data science professional, what do you expect to earn? Does the level of pay depend on whether you are a fresher or an experienced professional? The answer is Yes. The pay that data scientists earn in India varies significantly based on many factors. This document aims to capture and delineate the factors most relevant to you.<\/p>\n\n\n\n

Data Scientist Salary in India: An Overview<\/h2>\n\n\n\n

To compare data science pay for freshers and data science pay for experienced professionals, it is best first to understand data science salaries overall in India. Over the past several years, the data science industry in India has matured substantially. Most large corporations, well-funded startups and multinational corporations with branches in India have established dedicated data science teams.<\/p>\n\n\n\n

How Much Money do Data Scientists Make in India?<\/h3>\n\n\n\n

People say the average data scientist salary in India is around 10 to 14 lakhs per annum (LPA). This figure is based on data from all experience levels. These numbers are not very helpful when considering junior or senior data scientists. Freshers tend to make lower salaries. Senior data scientists and principal data scientists can make over 30 to 40 LPA.<\/p>\n\n\n\n

Data scientists that are fresh out of college can expect their salaries to be within a specific band. On the other hand, salary bands for senior roles in product-led organizations or roles in multinationals can have a lot more variation. In such roles, the salary can vary based on negotiation, area of data science, and the level of impact that the data scientist has. Because of this, the national average can provide a sense of what data scientists make, but it shouldn’t be used to set expectations.<\/p>\n\n\n\n

How do Data Scientist Salaries in India Compare to the Rest of the World?<\/h3>\n\n\n\n

When you compare salaries, data scientists in India make a lot less than data scientists in the US, UK, and Singapore. If you consider purchasing power parity, data scientists in the US that are in their mid-careers make the equivalent of 80 to 120 lakhs per year. When you consider the cost of living, that figure is a lot more fair. Senior data scientists in India that work in Tier 1 cities can expect to make salaries in the top 5 to 10 percent of all earners in India. Because of remote work and international hiring, data scientists in India can expect to earn what data scientists make in the rest of the world while still living in India.<\/p>\n\n\n\n

Data Science Salary for Freshers in India<\/h2>\n\n\n\n

Getting into data science as a fresher can be daunting when sources on the internet say entry-level data science jobs can pay you anywhere between 3.5 LPA and 12 LPA. The biggest reason for this gap is that those jobs are not the same. A data analyst job in an old-school bank, and a junior data scientist in a funded startup, are both entry level, yet differ in what they are looking for, the job description, and how much they pay.<\/p>\n\n\n\n

Salary Expectations as an Entry-Level Data Scientist<\/h3>\n\n\n\n

The salary you should be expecting as a fresher at a company is in the ballpark of 4 LPA to 8 LPA. The data analyst jobs, business analyst jobs, and roles that are mainly focused on data, pay in the range of 3.5 to 5 LPA. Junior data scientist and associate data scientist roles in product-based companies and tech-based startups pay within the range of 6 to 9 LPA. The first job of Indian Institute of Technology (IIT), Indian Institute of Information Technology (IIIT), and other high-ranked analytics program graduates who get into companies like Amazon, Microsoft, and Flipkart, and other unicorn companies, can definitely be in the range of 10 LPA to 14 LPA.<\/p>\n\n\n\n

Your Kaggle ranking, online portfolios like GitHub, and personal projects can alter the salary you are being offered substantially. Recruiters know these are the best indicators for how you approach a problem since they can be pretty confident you lack work experience.<\/p>\n\n\n\n

Starting salaries are influenced by the undergraduate degree you earn. This decides which companies will shortlist you. B.Tech graduates especially in CS and ECE and from the top institutes are sought out for data science roles and often command packages in the range of 6-10 LPA. Graduates with a B.Sc in Statistics or Mathematics from ISI or CMI, have strong analytical skills and often command similar packages in the first analytics-driven firms. MCA graduates typically make their mark in data engineering or analytics roles from the outset of their careers with packages in the range of 4-7 LPA and then transition into data science roles with 1-2 years of work experience. An M.Sc in Data Science or a specialised certification of a post-graduate level from a reputed institute results in a candidate getting 10-20 percent higher salary offers in the initial phase of their career in comparison to their peers with an undergraduate degree.<\/p>\n\n\n\n

Experienced Data Scientists Salary in India<\/h2>\n\n\n\n

The strongest financial benefits for a data scientist in India come with experience. Other IT positions have salaries that plateau after a few years. Data science positions have salaries that continue to grow with experience, specialization, and the depth of business impact and skills.<\/p>\n\n\n\n

Mid-Level Data Scientist Salary and Career Growth (3 to 6 Years)<\/h3>\n\n\n\n

Data scientists in India with 3 to 6 years of experience can expect a salary between 15 and 28 LPA. This group of salaries reflects an impressive jump compared to the previous salary band because these data scientists have built production model prototypes and led small teams of analysts. Their new roles have helped them gain experience to influence business decisions, which is the core of data science work. Data scientists, senior data scientists, machine learning engineers, and analytics leads are the typical roles populated in this band. Salary and role growth are particularly accelerated for those that possess strong machine learning skills and combine them with finance or healthcare domain skills. Employees in this band can also expect lateral moves to other organizations for 25 to 40 percent salary increases.<\/p>\n\n\n\n

Senior Data Scientists Salary in India: 7+ Years Experience<\/h3>\n\n\n\n

Salaries for Senior Data Scientists with 7+ years of experience typically fall in the range of 25 to 45 LPA in India. Considering performance-based bonuses and stock options, Principal Data Scientists, Staff Scientists, and Data Science Managers in large product-based companies and MNCs are likely to receive packages in the range of 40 to 60 LPA. At Senior levels, Data Scientists are not only expected to demonstrate technical expertise but are also expected to build and articulate problem statements to mentor junior data scientists as well as align the data strategy to the business objectives and present the outcomes to the leadership. Those who join the leadership ranks of Data Science, e.g. Head of Data, VP of Analytics, and Chief Data Officer positions, will likely have salaries that are in the CXO range of compensation, especially at the later stage funding rounds of the startup and scale up companies in India, where equity holds significant value.<\/p>\n\n\n\n

Salary of Data Scientists in Various Indian Cities<\/h2>\n\n\n\n

In India, Data Science salaries based on geographic location still remain meaningful. Data Science talent and companies that employ Data Scientists are concentrated in different Indian cities and the cost of living also varies from city to city.<\/p>\n\n\n\n

Bangalore, Mumbai, Hyderabad: Top Paying Tech Cities<\/h3>\n\n\n\n

Bangalore is the de-facto capital of data science in India. With the biggest concentration of product companies and MNCs, as well as an established startup ecosystem, data science salaries in Bangalore can be 20-35% higher than in the rest of the country. For example, a mid-level data scientist in Pune earning 18 LPA might earn 22-24 LPA in Bangalore. Mumbai\u2019s data science salaries reflect the city\u2019s focus on banking. Mumbai\u2019s data science salaries for banking, BFSI analytics, and quantitative finance data scientists are comparable to salaries in Bangalore. Hyderabad is home to Microsoft, Amazon, and Google\u2019s Cyberabad tech corridor. It is the fastest growing data science city and is getting close to matching salaries in Bangalore for the same tier-1 companies.<\/p>\n\n\n\n

Pune, Chennai, and Kolkata Salary Comparisons<\/h3>\n\n\n\n

Pune and Chennai have secondary markets that are growing in size and have more data science related jobs. Salaries in Pune are generally 10 to 20% lower than in Bangalore, but the lower cost of living helps. There are many analytics centers of excellence in Chennai set up by global firms and they pay well, especially for experienced hires. In the other tier 2 cities, salaries are lower, but remote work is changing this. A data scientist in Kolkata working remotely for a company in Bangalore or Mumbai will earn an equivalent metro salary.<\/p>\n\n\n\n

Data Scientist Salary by Industry and Company Type<\/h2>\n\n\n\n

Where you work has an impact on your salary that can be larger than which city you work in. Data science has varied applications and working in certain industries can add complexity and drive higher impact and compensation.<\/p>\n\n\n\n

Data Scientists Salaries in IT, BFSI, and E-Commerce: Which is the Best?<\/h3>\n\n\n\n

E-Commerce and Product Technology companies like Amazon, Flipkart, Swiggy, Zomato, and PhonePe pay Indian Data Science employees the highest salaries, no matter their experience. Data Science positions in these companies directly relate to revenue, whether through personalization features, fraud detection, or logistical concerns, and as a result, they have a clear impact. These positions pay substantially. BFSI offers competitive packages with quantitative finance or risk modeling, and engineering roles are particularly sought. On the contrary, IT services companies like Infosys, TCS, and Wipro pay lower salaries compared to Product companies, but they offer well-structured career paths and exposure to enterprise-level data problems.<\/p>\n\n\n\n

Growth Stage Companies v\/s Multinationals: The Best Career Growth with the Biggest Risk or No Risk?<\/h3>\n\n\n\n

Earlier stage and especially growth companies often pay data scientists at or near sufficient salaries, but provide employee stock options (ESOPs). If a Series B or C funding round goes well, these ESOPs can lead to considerable, even fame-level wealth. On the contrary, more established multinational corporations (MNCs) offer substantial salaries, better benefits, and a predictable and perfect career, however the employee has to have a plan, as salaries increase at a slower pace and the employee’s impact is negligible. Many experienced data scientists go between MNCs and growth companies for lateral moves with salary increases. Data scientists join MNCs for a \u201cperfect career\u201d, and go to smaller companies for fame and wealth, and return to MNCs as the smaller companies fail, for an elevated career position.<\/p>\n\n\n\n

Data Science Skills That Can Raise Your Salary in India<\/h2>\n\n\n\n

For all levels of data science professionals, the key to salary upsides continues to be their arsenal of data science skills, especially their technical skills. The skill premium is real: professionals who up-skill and who know the latest in-demand data science tools earn salaries that are 20-40% higher than those who have the same level of professional experience but do not have the same level of current data science skills.<\/p>\n\n\n\n

Data Science Skills That Are in Demand: Python, ML, SQL, and Cloud<\/h3>\n\n\n\n

At this point, it is safe to say that no data science professional can be successful without knowing Python. A data science professional who knows Python and who has experience working with machine learning libraries, such as scikit-learn, XGboost, PyTorch, TensorFlow, and who can also work with SQL, is someone who is going to be highly coveted in the job market. Data science professionals who are Cloud (AWS, Google Cloud, Azure) certified also command a salary premium. In addition to the knowledge of Cloud infrastructure, knowledge of Deep Learning, Natural Language Processing, and most recently Generative AI and LLM (Large Language Models) have the potential to significantly raise the salary of a mid-level professional data science employee by 3-6 LPA.<\/p>\n\n\n\n

Courses and Certifications that Increase Your Earnings in Data Science<\/h3>\n\n\n\n

Data science beginner or career shifter? Certifications are a signal of both initiative and improvised, self-directed learning, so they can be helpful. Google\u2019s Professional Data Engineer and Professional ML Engineer certifications, AWS Certified Machine Learning, and Microsoft\u2019s Azure Data Scientist Associate are popular certifications that employees say help in negotiation. Specialized courses with stripped back momentum, like those offered by upGrad or Great Learning and Coursera\u2019s courses by Johns Hopkins or DeepLearning.AI are viewed positively if you\u2019ve also completed any portfolio work. For more experienced professionals, taking AI Strategy or Data Leadership as part of IIMs or IITs continuing professional development courses can help justify moves into leadership compensation bands.<\/p>\n\n\n\n

Boosting Your Data Scientist Salary in India<\/h2>\n\n\n\n

Having the technical degree and skills to work in data science does not come close to guaranteeing a higher salary. The highest earners in the profession are those who are most able to balance their skills with the best career moves. The following suggestions are the most impactful and measurable.<\/p>\n\n\n\n

Smart Negotiation, Lifelong Learning, and the Right Career Moves<\/h3>\n\n\n\n

Do not accept an initial job offer. Negotiating an offer always results in a better salary. Those who negotiate their salary earn an average of 10-20 percent more, and you will have salary data to work with from tools like Levels.fyi, AmbitionBox, and Glassdoor, which will help you define a better offer based on the salary range data. The most beneficial career move is to learn what skills are in high demand. If you are seeing job offers requesting skills in Generative AI or ML Ops, those are skills you should pursue. Consider switching from a services company to a product-based company; this will likely increase your salary by 30-50 percent. Additionally, consider switching from data science to ML (Machine Learning) Engineering if you prefer working with production systems, or data science consulting, which has higher daily rates than corporate data science salaries.<\/p>\n\n\n\n

Data science gives you the tools to measure and improve a salary. That’s why data science is in such high demand in India.<\/p>\n\n\n\n

Conclusion<\/h2>\n\n\n\n

One of the few lucrative opportunities for both fresh graduates and experienced professionals in India is Data Science. For an entry-level position, fresh graduates can expect a salary of around INR 4 to 8 lakhs per annum. Rapid salary growth is also seen by graduates after obtaining the necessary skills and becoming efficient.  For experienced professionals, the expected range is between INR 25 to 45 lakhs per annum. If there is proper guidance, knowledge of new tools, and employed in the right domain, it can go even higher. There are many more opportunities for Data Science professionals, therefore staying updated is necessary. Regardless of whether you are experienced or just starting, you must have the knowledge of salary trends to know what you can potentially earn.<\/p>\n\n\n\n

Frequently Asked Questions (FAQs)<\/h2>\n\n\n\n

Q:How much is a data scientist’s salary in India on average?<\/strong><\/p>\n\n\n\n

A:<\/strong> The data scientist’s salary in India for freshers is 6 – 12 LPA and it is 15 – 30 LPA for those with work experience. Those in senior positions at the top tech companies can earn 40 LPA and above.<\/p>\n\n\n\n

Q: What is the data scientist fresher’s salary in India?<\/strong><\/p>\n\n\n\n

A: <\/strong>The data scientist fresher’s salary in India is usually 4 – 7 LPA. The IIT and NIT graduates and those from the top colleges for analytics can earn anywhere between 8 – 12 LPA.<\/p>\n\n\n\n

Q: What is the data scientist salary in India by location?<\/strong><\/p>\n\n\n\n

A: <\/strong>The data scientist salary in India is the highest in Bangalore, Mumbai and Hyderabad, with Bangalore at the top. The average salaries in Bangalore are 20 – 30 % higher than the national average due to the high demand for tech talent.<\/p>\n\n\n\n

Q: What skills help earn a data scientist a higher salary in India?<\/strong><\/p>\n\n\n\n

A: <\/strong>Skills that help earn a data scientist a higher salary in India include Python, Machine Learning, Deep Learning and SQL Level 1 and cloud skills (AWS and GCP). Emerging skills in Generative AI and LLMs are also able to fetch a higher salary.<\/p>\n\n\n\n

Q: What is the data scientist senior salary in India?<\/strong><\/p>\n\n\n\n

A: <\/strong>The data scientist senior salary in India is approximately 25 – 45 LPA for those with 7 or more years of experience. Those in the top 10 % of their profession and in senior positions can earn 50 LPA and above.<\/p>\n\n\n\n

Q: Is data science in demand and a high paying career in India?<\/strong><\/p>\n\n\n\n

A: <\/strong>Data science is in demand and a high paying career in India because it is consistently among the top 5 highest paying careers in tech in India. The average salaries for entry level roles are higher than IT salaries, with salaries for data scientists in India seeing significant growth in the 5-7 year range.<\/p>\n","protected":false},"excerpt":{"rendered":"

The past 5 years has witnessed explosive growth in data science jobs in India, and for good reason. Businesses now recognize that across virtually every industry, from banking to healthcare, they possess vast oceans of data and need professionals to help them understand and act on this information. 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