Different jobs and salaries for data science experts

Key takeaways:

• A data scientist is a specialist who gathers, evaluates, and interprets vast volumes of data.

• In big metropolises like Mumbai and growing towns like Pune and Bengaluru, data scientists are in great demand and earn handsome salaries.

• Data scientists utilize their analytical abilities to analyze, assess, and  extract important information that enables businesses to improve their inventions.

Data science is a discipline that combines subject-matter expertise, programming prowess, and an understanding of mathematics and statistics to derive practical insights from data. Data scientists are experts in gathering, organizing, storing, processing, and analyzing data, which enables people and organizations to make decisions based on the insights gained from the data. 

Considering the need for data in practically every sort of industry, including IT, business, and healthcare, data science career prospects have dramatically risen. Profession advancement, job stability, and reputation all contribute to the allure of a career for aspirant data scientists in addition to the data science salary in India.

Continue reading to learn more about the various job positions and the average data science job salary.

Data science salary in India

A data scientist’s duties include handling sizable, complicated databases and providing results utilizing machine learning and predictive analysis. They are experts in data analysis, algorithms, advanced analytics, artificial intelligence, and statistical methods, all of which aid in commercial decision-making. The majority of data scientists have degrees in computer science, engineering, data science, etc. 

Freshers are likely to receive less than those for experienced professionals in data science jobs. According to a report, an average data scientist makes up to INR 10,50,000 a year. The typical annual income is between INR 6,98,412 and INR 7,00,000 in India. 

The data science job salary depends on several variables, including the size and reputation of the organization, the location, the candidate’s education, the requirements of the position, and most importantly, their previous employment history. Let’s examine them.

The salary range for various data science roles

Here are some data science job positions and their respective salary ranges:

• Data scientist

Data science is just statistics that have been programmed. Python has demonstrated its prowess in data sorting according to both general and specialized criteria alongside R. 

In India, Python data science programmers make more money than both software engineers and DevOps programmers combined. The pay for data scientists in India varies greatly depending on many variables. The data science jobs for freshers salary is INR 6,98,412. 

• Data analyst

Data analysts aid senior executives in concluding their data. A/B testing and web analytics tracking should be familiar to analysts. It is one of the greatest data science careers. In India, the average annual salary for a data analyst is INR 4,30,000. The best pay for data scientists in India goes to data analysts with programming expertise.

• Data engineer

Data engineers are the backbone of an organization since they work with the core of the business. The data science engineer salary in India is INR 8,56,643. Of course, several elements affect the Data Engineer compensation, such as the company’s size and reputation, location, educational background, job title, and experience.

The following table shows the salaries based on  data science job roles.

Job role	Average salary (INR-LPA)
Data scientist	8,00,000
Data analyst	4,30,000
Data engineer	8,56,643

Salaries in popular companies

Wipro, Accenture, IBM, TCS, Deloitte, and other top data science businesses are just a few examples. Some of the job roles in data science that top firms provide are data scientists, applied intelligence, advanced analytics, data analysis, senior data analyst, etc. 

A list of the salary by top data science companies in India is provided in the table below.

Company name	Average salary (INR-LPA)
IBM Corp	1,468,040
Accenture	1,986,586
JP Morgan Chase and Co.	997,500
American Express	1,350,000
TCS	7,50,000
Infosys	8,80,000
Wipro Technology	1,750,000

Salaries based on experience level

Experience best indicates refined talents, technological breakthroughs, and improved problem-solving capabilities. However, expertise is not simply evaluated from the standpoint of hard abilities. A focus on soft skills is also significant. Both newcomers and seasoned workers should learn these skills and practice them. 

With every significant increase in experience, a data scientist’s monthly or yearly income will drastically increase. 

The following table includes a salary range for data scientists based on their degree of experience.

Experience level	Average salary (INR-LPA)
Fresher (1-2 years)	6,11,000
Mid-Level (5-8 years)	10,00,000
Senior level (10-15 years)	20,00,000

Salaries in different locations

The location is crucial since it determines the average payout and the clientele that the business serves. Mumbai has the most job openings and the highest yearly compensation for data scientists in India, followed by Bengaluru and New Delhi. Bengaluru offers the biggest prospects for work in startups being India’s startup capital.   

The following table displays the salary range for data scientists based on their location.

Location	Average salary (INR – LPA)
Mumbai	7,88,789
Chennai	7,94,403
Bengaluru	9,84,488
Pune	7,25,146
Hyderabad	7,95,023
Kolkata	4,02,978

Data science salaries in the US

The United States is one of the most progressive nations when it comes to giving data scientists high salaries. Without incentives, stock options, RSUs, and profit-sharing, data science salary in the US is between USD 96k and USD 135k annually.

Salary range for various data science roles

The following table shows the salaries in the US based on  data science roles –

Data science roles	Average salary
Director of Analytics	USD 130,000
Data Architect (Big)	USD 123,000
Machine learning Engineer	USD 112,000
Research Scientist	USD 83,000
Web Analyst	USD 67,000
Data Engineer	USD 93,000
Business Intelligence developer	USD 82,000

Salaries in popular companies

The following table shows the salaries in the US based on popular companies-

Popular companies	Average salary
Selby Jennings	USD 207,539
Apple	USD 178,904
Airbnb	USD 180,284
Concentric	USD 182,319
eBay	USD 180,600

Salaries based on experience level

Young IT workers find a career in data science to be particularly enticing. Beginning pay is quite profitable, and salaries gradually increase as one gains experience. Data scientists’ salaries are based on their level of skill as well as their years of experience.

The following table shows the salaries in the US based on  experience level –

Experience level	Average salary
Fresher (1-2 years)	USD  95,000
Mid-Level (5-8 years)	USD 130,000
Senior level (10-15 years)	USD  165,000

Salaries in different locations

The following table shows the salaries in the US based on different locations-

Job location	Average salary
San Francisco, CA	USD 124,208
New York, NY	USD 117,707
Washington, DC	USD 117,513
Los Angeles, CA	USD 111,454
Chicago, IL	USD 110,209

Why a career in Data Science?

As businesses have realized the value of collecting massive amounts of data from websites, smartphones, social media platforms, and other sources and exploiting them for commercial purposes, the subject of data science has expanded enormously in a relatively short period. Data scientists utilize their analytical abilities to analyze data after it has been made public, assess it, and extract important information that enables businesses to improve their inventions.

A data scientist is responsible for gathering, purifying, altering, and analyzing data to provide insightful conclusions. They typically work as a statistician or data analyst in the early stages of their career. They develop into data scientists over several years of experience. You may get a piece of this highly profitable pie with the appropriate education, abilities, experience, and training. Data science, as a domain, will alter the world in the upcoming years.

ALSO READ: Career path in Data Science

How can I get a lucrative salary in data science?

When choosing data science as a career, several elements might affect your ability to earn a good salary. Some of the significant contributing variables are listed below:

• Gain a considerable work experience

Your chances of obtaining a larger compensation package increase as your years of experience in the field rise. You must, therefore, gain a decent work experience to attract better salaries.

• Opt for a suitable job title

Your remuneration package will depend on your work title or role because certain roles might pay more. You may also choose a data engineer as your career as it pays the higher salary.

• Opt for a high paying employer

Your employer has a huge impact on your pay. Earning competitive compensation in the sector requires working for significant and reputed firms.

• Choose the right location

The cost of living and demand for data science professionals in the region are determined by the site of work. This may have an immediate impact on your compensation. Choose the city like Mumbai or Bengaluru which are known as IT-hub.

• Acquire industry-relevant skills 

Your skill set and level of experience in it can greatly impact your compensation. You may advance in your profession and ask for a higher wage by learning new skills that are appreciated and in demand in the industry. Learn skills like data mining, programming, machine learning to get a higher pay.

READ MORE: How to get into the Data Science industry

Final thoughts 

Professionals that understand how to use data will always be in demand. More individuals will and already are making the journey into the realm of data as demand rises.

Online Manipal is a perfect platform for you if you are interested in learning more about various careers and salaries for data science specialists. It offers courses like online M.Sc. in Data Science and MBA in Data Science designed by the Manipal Academy of Higher Education (MAHE) and equips you with pertinent materials that will aid you at the beginning of your data science career. Enroll today.