The salary of a data scientist in India ranges from Rs 4 lakh to Rs 25 lakh per annum, based on the college, degree, and experience. On this page, we have provided all the necessary information on how much a data scientist earns in India, along with the job role and responsibilities of a data scientist. Scroll down to find out more.

Average Data Scientist Salary in India

Data scientists are in charge of assisting the data discovery process and acquiring or sourcing data for organizations. Data science professionals also help in processing, cleaning, integrating, and storing data.

Mainly, data scientists are tasked with investigating data and conducting exploratory data analysis. They also build data models and suggest algorithms for effectively using the data. Sometimes, data scientists are responsible for integrating data with AI systems or for using machine learning to make use of the data.

In India, a data scientist makes an annual salary of Rs. 8,60,000. Read the below table to know more details about data science salary in India.

Data Scientist Salary in IndiaAverage salary for a Data Scientist in India is 10.5 Lakhs per year.
Fresher Data Scientist Salary in IndiaAn entry-level data scientist can earn around ₹500,000 per annum with less than one year of experience.
Senior Data Scientist SalarySenior Data Scientist salary in India ranges between ₹ 10.0 Lakhs to ₹ 45.0 Lakhs with an average annual salary of ₹ 21.1 Lakhs.

Data Scientist Salary by Top Companies

The average data scientist salary in India provided by top companies in India are as follows:

Google Data Scientist SalaryGoogle Data Scientist salary in India ranges between ₹ 12.0 Lakhs to ₹ 74.0 Lakhs with an average annual salary of ₹ 35.2 Lakhs.
Amazon Data Scientist SalaryThe average salary of a Data Scientist at Amazon is ₹ 27.8 Lakhs per year
Facebook Data Scientist SalarySenior Data Scientist salary on Facebook ranges between ₹ 30.6 Lakhs to ₹ 86.3 Lakhs per year.
Microsoft Data Scientist SalaryThe average salary of a Data Scientist at Microsoft Corporation is ₹ 34.2 Lakhs per year
IBM Data Scientist SalaryIBM Data Scientist salary in India ranges between ₹ 5.0 Lakhs to ₹ 25.0 Lakhs with an average annual salary of ₹ 12.9 Lakhs.

About Data Scientist Salary in India

 Right now, data science is one of the most well-liked and popular industries, and new hires come from a variety of technical and educational backgrounds. The data science market is expected to reach a value of $140.9 billion by 2024, with a compound annual growth rate of 30.0% worldwide.

Aspects of data science include data analytics, data architecture, and data engineering, each of which is a distinct job function. The most well-known job title is that of a data scientist, which allows for easier entry for new hires and provides sound future scope and career prospects. Data scientists can also easily make the transition to other specialized fields or subdomains.

If you’re not sure what a data scientist is, they are professionals who focus primarily on extracting, collecting, cleaning, and modeling data. They are also in charge of making sure the data is accessible and getting it ready for other procedures. To help their organizations use data effectively, data scientists are tasked with modeling data and applying algorithms.

Data scientists are equipped with the knowledge and abilities to employ a variety of methods and tools to streamline data science pipelines. Data scientists can move forward with building data architectures once the data has been staged, or they can use the data for reporting and visualization.

Professionals in data science are compensated handsomely almost from the start of their careers due to the value they produce. Let’s investigate the pay for data scientists in India, both for new graduates and experienced workers.

Factors Influencing Data Scientist Salaries

  • Experience: The salary packages that data scientists and other data science professionals are offered globally depend on how much experience they have.
  • Location: Data science professionals in India receive varying salaries depending on where they are posted.
  • Organization: Different businesses offer their data science specialists a range of compensation plans.
  • Skills: Professionals in data science are paid more if they possess additional skills. Microsoft claims that 95% of Fortune 500 companies prefer Azure. Professionals with a background in data science who are proficient in Azure are well-paid by organizations like Accenture and Cognizant. Similar to this, employers offer handsome salaries for employees who possess skills in AWS, Apache Hadoop, Apache Spark, and other tools like SAS, Microsoft Power BI, and Tableau.

While experience and certification in data science help one get even better compensation, other factors like location and skill set also have an impact on salaries.

Data Scientists Vs Data Engineer’s Average Salary

Data engineers increase the usability and accessibility of data for organizations. They are responsible for facilitating an organization’s data infrastructure and enabling systems to utilize this data. Additionally, this implies that data engineers are in charge of integrating cloud services and outside applications with data models or systems.

The creation of algorithms that aid in making raw data understandable for businesses is another task assigned to experts in this field. In addition, data engineers need to comprehend an organization’s data needs and find answers to key data-related questions.

In India, a data engineer makes an average of Rs. 8,57,779 annually.

Average Pay for a Data Visualizer

Companies and organizations trust skilled data scientists, known as “data visualizers,” to present data in the most efficient and clear manner possible. To help executives, managers, and other stakeholders make wise business decisions, data must always be presented in a format that is easily understandable. Companies’ data-driven decisions are always based on the knowledge gained from modeled data.

Data modelers and data visualizers use massive amounts of data to find, analyze, and report correlations, anomalies, trends, and patterns. As a result, it’s crucial for data visualizers to feel at ease handling big data. While visualizing data is their primary responsibility, they must also understand how to improve data usability and accessibility.

At all organizational levels, they must be able to use visualization software and offer interactive insights to a variety of audience segments.

In India, a data visualizer makes an annual salary of Rs. 610,419 on average.

FAQs on Data Scientist Salary

The frequently asked questions regarding the Data Scientist Salary are given below:

What is the income of a data scientist?

With more than 50,000 jobs for data scientists available across various companies, India comes in second place in terms of employment opportunities. The average annual salary for a data scientist in India is Rs. 10.6 lakhs, with salaries ranging from Rs. 4.5 lakhs to Rs. 26.0 lakhs.

Is data scientist a well-paid position?

Yes, it is. Indeed, a career in data science offers excellent prospects for future advancement. Data Scientist has been referred to as the “best job in America” by Glassdoor and has been called “the most promising career” by LinkedIn due to the high demand, competitive salaries, and abundance of benefits.

What is the monthly salary of a data scientist?

A data scientist makes an annual salary of Rs. 698,412. A data scientist with less than a year of experience can expect to make around $500,000 a year. The average salary for data scientists with one to four years of experience is $610,811.

Who makes more money: the CA or the data scientist?

A staffing solutions company named TeamLease claims that data scientists with about 5 years of experience make over Rs. 75 lakh per year, compared to CAs with Rs. 8–15 lakh and engineers with Rs. 5-8 lakh at the same level of experience.

Which is better, IT or data science?

The various stages of working with information and data, from gathering and storing that data to analyzing and visualizing it, are referred to as “data science.” Information technology, on the other hand, hones in on particular phases of the data science lifecycle with a focus on information management, data storage systems, and networks.

Which country is best for data science jobs?

The 21st century’s hottest career is reportedly data science. Data science is important because it has the potential to grow businesses, which cannot be disputed. Every field undergoes a revolution thanks to data science. The world needs more data scientists because data science is leveraging a wide range of fields. Following are some of the countries that are best for data science jobs:

  • USA
  • UK
  • India
  • China
  • Japan
  • Korea
  • South Africa

Data science has a huge range of applications, and with the quick uptake of big data ideas and technologies, more businesses are in desperate need of qualified data science specialists. While some organizations use data for insights, some businesses use enormous amounts of data directly to run their day-to-day operations or to support their services (or applications). Data is a critical tool for businesses of all types to use when making decisions. As a result, experts in data science are needed by all kinds of businesses.