Data Scientist  Salary in India

A new career option that has been trending lately, data science is an upcoming field that has immense potential for growth and remuneration, data science uses algorithms and scientific processes to derive information and patterns from disorganized data. This data is then used to make business predictions and decisions.

A data scientist is essential to businesses especially in the IT field and the increased demand recently has led to lucrative job opportunities. So, if this is a career you wish to pursue, then you should know how much data scientists earn.

How Much Does a Data Scientist Earn

A data scientist’s pay will vary mainly based on experience. The average base salary is Rs. 8,74,528 per annum.

An entry level scientist can earn around Rs. 5.7 lpa and this amount can rise to Rs. 8 lpa after a few years of experience. If a data scientist has an experience of 5 to 9 years, he/she can expect to earn around Rs. 14 lpa. 

As is the case with most career options, higher the experience, greater is the salary. A data scientist with over 10 years of experience can easily command a pay of Rs. 19 lpa or higher.

What Do Data Scientists Do?

If you are unfamiliar with the roles and responsibilities of a data scientist, we’ve got you covered.

Here are some of the main tasks data scientists need to cover -

• Gathering unstructured and disorganized data

• Extracting and/or recovering the data and converting it into a form that can be understood

• Using this data to find out patterns or make predictions

• Converting this analyzed data into a form that can be easily understood such as flowcharts, graphs, etc.

Skills Required for Data Scientists

Given below are some of the skills data scientists should be familiar with -

• Programming languages such as Python, R, SQL, etc.

• Expert knowledge of statistics, mathematics, algorithms, as well as machine learning

• Mathematical modeling and understanding which algorithm can be used to solve a given problem

• Understanding how databases work and how knowledge can be extracted from them