Data Science is a field where job offers have grown exponentially in the last few years alone. And from the looks of it, the field is only going to get more popular. People use programming mathematics, statistics, and other domain knowledge in data science to extract important insights from big data.
In 2023 Data Science has become one of the most sought-after fields for recruiters in India. And if you are a data scientist, then in this article, we will be telling you everything about the data scientist's salary in India. This means that even the data scientist salary for freshers in India is pretty high, and it only gets higher with more experience.
Data scientists and other data-related jobs such as data analyst and data engineers are also getting great salary packages from various companies that want to hire them. The more experience you have in the field, the better. You can check out a Data Science Bootcamp to learn more about the field. Read the article to see the average salary of a data scientist in India and what you can do to increase yours.
What is Data Science, and Why It's Important in Current Business?
Data Science is a field where career opportunities are flourishing. India has the world's second-highest data scientist recruitment, second only to the USA. This means that if you are a data scientist in India, you can get a great salary package right off the bat, even as a fresher in the field.
But before we talk about the salary of a data scientist in India, we have to talk about what Data Science is and why it is so important in the current business sector. As we already said before, Data Science is a field where different methods are used to extract important insights from batches of data. AI and Machine Learning are also used to process all the available data and make it into data that has commercial value., we have to talk about what Data Science is and why it is so important in the current business sector. As we already said before, Data Science is a field where different methods are used to extract important insights from batches of data. AI and Machine Learning are also used to process all the available data and make it into data that has commercial value.
The process starts with gathering and extracting data from various sources. Then the data is entered into the system, and the management stage begins. The data goes through various stages, such as cleansing, processing, warehousing, and some other processes, before the data scientists start analyzing the data they have garnered. The data analysis stage is important as the data scientists extract value and knowledge from the processed, structured data. After that, the insights are applied to the practice field to improve the organization. That is why Data Science is a valued field in the IT and Business sectors. Next, we are going to tell you what salary you can expect as a data scientist in India. You can join a Data Science course if you want to learn more about the field or need some training. Not only will it help with your data science knowledge, but it will also improve your resume.
Who is a Data Scientist?
Data scientists are experts who find, collect and evaluate big data collections. You can understand how important data scientists are to any firm, given that today's business choices are driven by insights obtained from data analysis. Computer science, mathematics, and statistics training are often required for data science positions. Data scientists do more than just model and process structured and unstructured data; they also translate the results into useful strategies for stakeholders.
Data scientists are very knowledgeable in math and statistics, and they also have a strong grasp of ideas such as big data, machine learning, data mining, deep learning, and data warehouses, among others. They also have a perfect command of statistical software and programming. The duties of a data scientist go beyond just processing and analyzing data.
Business analysis and data science responsibilities often overlap because data science roles differ from organization to organization. Expert data scientists typically have extensive industry knowledge and years of expertise. Data scientists are among the highest-paid workers on the market because of how they collaborate with several stakeholders and support important business decisions.
Highest and Lowest Data Scientist Salary in India
Let us first start with the average data scientist salary in India. This way, you can get a little idea about what salary package you can expect when you start looking for a job as a data scientist in India.
- The data scientist's average salary in India is about ₹8,74,528 per year.
- According to PayScale, the lowest salary, which is the entry-level data scientist salary in India, is about ₹5,77,893 per year.
- But depending on your experience, your location, and the company you work for, your salary can go up to ₹19,44,566 per annum.
Your salary as a data scientist in India depends on many factors, which we will discuss in detail in the next section. in India, is about ₹5,77,893 per year. But depending on your experience, your location and the company you work for, your salary can go up to ₹19,44,566 per annum. Your salary as a data scientist in India depends on a lot of factors, which we are going to discuss in detail in the next section.
Data Scientist Salary Deciding Factors
The data scientist salary in India is affected by some factors. Of course, your experience in the field makes the most difference. But factors like skills, job roles, the company you work for, and your location also affect the salary of a data scientist in India.
1. Salary Based on Experience
Experience is a huge factor when it comes to data science jobs salary in India. According to PayScale, the average data scientist fresher salary in India, who has less than one year of experience in the field, is about ₹5,77,893. Someone with 1-4 years of experience can expect an average salary of about ₹8,09,952. With 5-9 years of experience, a mid-career data scientist's annual compensation could go up to ₹14,48,144. And someone with 1-019 years of experience in the field can get an average annual salary of up to ₹19,44,566 in India.
2. Salary Based on Skills
Your skills in the field also come into play when determining data science salary in India. The more different skills you have in the field, your chances of getting a higher salary will also increase. Even the data scientist starting salary in India is also higher for people who have different skills in the IT field. If your resume stands out, it will make recruiters notice you more. Skills like Machine Learning, Python, Statistical Analysis, and Big Data Analytics can improve your chances of getting a higher salary. You can also try data science training courses like the Data Science Certification to make your resume more impressive.
3. Salary Based on Companies
In India, there are many companies that hire data scientists on a regular basis, but usually, they have different job roles or positions. Depending on the position you get into in one of these companies, your salary will be different. Other companies also pay different annual salaries to data scientists in India. You can always check the salary of a data scientist in India per month or annum in other companies before you take up a job offer.
4. Salary Based on Location
Another deciding factor in data science job salary in India is your location. There are many large cities in India that hire data scientists, but all of them have different salary packages. For example, according to PayScale, the average salary of a data scientist in Mumbai is about ₹8,61,357, whereas, in Bangalore, it's about ₹10,11,972. Later in the article, we will discuss the different salaries based on location.
5, Data Scientist's Salary Based on Skills
Having additional skills in the field of data science can improve your chances of having a better paycheck. For example, learning ML can bring your average salary to ₹9,17,694, and learning Python can bring it up to ₹8,86,948.
Top 10 Data Scientists Hiring Companies and Their Salaries in India
1. IBM: The average salary of a data scientist working for IBM India Pvt. Ltd. is about ₹9,50,000.
2. Wipro: The average annual salary of a data scientist in Wipro India is about ₹6,06,782.
3. Deloitte: The average annual compensation for data scientists in Deloitte is about ₹7,00,000 in India.
4. PwC: The average salary for a PwC data scientist in India is about
5. Amazon and AWS: The average salary of a data scientist working at Amazon is about ₹13,00,000.
6. EY: The average annual compensation for a data scientist working for EY is about ₹10,99,887.
7. Microsoft: The average base salary for a data scientist working for Microsoft India is about ₹13,00,000.
8. Flipkart: The average salary of a data scientist working for Flipkart is about ₹14,24,311.
9. Accenture: As a data scientist working for Accenture, you can expect the average salary to be about ₹13,48,016.
10. Vodafone: The average salary of a data scientist working for Vodafone India is about ₹11,50,000.
Annual Salary (Data Scientist)
2-9 years of experience
Ranges between ₹ 4.4L and ₹ 15.0L with an average of ₹ 7.5L per annum.
2-10 years of experience
Ranges between ₹ 4.8L and ₹ 17.0L with an average of ₹ 9.5L per annum.
2-8 years of experience
Ranges between ₹ 4.8L and ₹ 14.6L with an average of ₹ 8.6L per annum.
2-7 years of experience
Ranges between ₹ 4.5L and ₹ 21.0L with an average of ₹ 8.8L per annum.
Top Data Scientists Hiring Cities in India and Their Salaries
As we have discussed before, the salary for a data scientist in India can fluctuate depending on the city you work in. Here we have combined a list of some cities in India and what salary you can expect if you work as a data scientist there. can fluctuate depending on which city you are working in. Here we have combined a list of some cities in India and what salary you can expect if you work as a data scientist there.
The average salary of a data scientist in Bangalore is ₹10,11,972 per annum. The lowest base pay is about ₹6,39,940 per annum, and the highest is about ₹21,00,000.
The average annual salary of a data scientist in Mumbai is about ₹8,61,357. The lowest base pay is about ₹5,65,845, and the highest is about ₹16,09,453.
The average data scientist's salary in Chennai is about ₹8,32,180. The average entry-level is about ₹5,17,153, and with experience, it can go up to about ₹17,99,391.
The average annual salary for a data scientist in Delhi is about ₹7,86,108. The average fresher salary is about ₹5,85,549, and the highest it goes up to is about ₹13,00,000. In the New Delhi area, the average annual salary is ₹9,35,241, while the lowest average pay is ₹5,59,551, and the highest is ₹15,53,396.
The average base salary of a data scientist in Gurgaon is about ₹10,26,972. The lowest base average is about ₹650,000, while the highest is about ₹15,50,000.
The average salary for data scientists in the city of Hyderabad is about ₹8,55,749. The lowest average pay is ₹5,90,645, and the highest is about ₹19,85,057.
The average annual salary for data scientists in Pune is about ₹8,07,457. The entry-level salary for data scientists in Pune is about 5,05,203, and with experience, it can go up to ₹17,71,831.
The average annual salary of a data scientist in Noida is about ₹8,79,850. The average entry-level salary in the city is about ₹5,05,652, and with experience, it can go up to ₹14,00,000.
Data Scientist Salary in Top 10 Industries
Depending on which industry you work in as a data scientist, your data scientist salary per month in India can be pretty different. Below is a list of industries where data science is a popular career option and what type of average annual compensation you can expect in these industries.
1. Retail: One of India's biggest retail companies- Flipkart, gives its data scientists an annual compensation of about ₹14,24,311 on average.
2. Healthcare: The average salary of a data scientist in OptumHealth, one of India's leading healthcare companies, is about ₹5,73,913.
3. Logistics: The average range of data scientist salaries in XPO Logistics is about ₹16,24,673 - ₹22,05,048.
4. Finance: The average salary of a data scientist in a leading finance company like Bajaj Finance in India is about ₹4-6 lakh.
5. Telecommunication: One of the leading telecommunications companies in India, Vodafone pays an average of ₹11,50,000 to its data scientists.
6. Automotive: The average annual pay of a data scientist in one of the leading automotive companies in India, Tata Motors, is about ₹12,67,125.
7. Digital Marketing
In the US, the annual salary for a marketing data scientist is about ₹72,27,026.
8. Professional Services
The average data scientist salary in Tata Consultancy, one of India's leading professional services companies, is about ₹9,00,000.
9. Cyber Security: Cyber Security company Quick Heal pays their senior data scientists around ₹19-21 lakh per annum.
10. Mining, Quarrying, and Oil and Gas Extraction: The estimated pay for a data scientist with 5-6 years of experience in Indian Oil is about ₹19,50,000.
Data Science Salary Based on Job Role in India
Data Science jobs come with different responsibilities and job roles. Here is a comprehensive guide to what you may expect your job role and salary to be when you join one of these fields in India.
1. Data Analyst
Average Data Analyst Salary Range in India
The average salary of a data analyst in India is about ₹4,78,442. The entry-level salary is about ₹3,82,956, and it can go as high as ₹15,00,000
Data Analyst Responsibilities:
The main responsibility of a data analyst is to solve business problems in an organization with the help of data. They collect, manage, and analyze data, exert important insight from them, and communicate it to the company stakeholders and management.
Required Data Analyst Skills
The main skills that a data analyst needs are- knowledge of statistical analysis, data analysis, communication, etc.
2. Data Scientist
Average Data Scientist Salary Range in India
The average base pay of a data scientist in India is ₹8,74,528. The fresher data scientist's salary in India is about ₹5,77,893. The highest salary of a data scientist in India is about ₹19,44,566.
Data Scientist Responsibilities
Data Scientists must collect large amounts of data from various sources using their statistical, analytical, and programming skills. Their job is to use this data to offer solutions to the organization as needed. Their responsibilities include- mining for data, using ML to classify and structure data, process and cleanse data, analyzing the info to come up with a solution, and presenting it to the company and clients.
Required Data Scientist Skill
Some of the skills you need as a data scientist are ML, Programming, Math Statistics, etc.
3. Data Engineer
Average Data Engineer Salary Range in India
The average annual salary of a data engineer in India is about ₹8,71,312. The entry-level salary is about ₹447,890, and with experience can go up to ₹19,21,618.
Data Engineer Responsibilities
The job of a data engineer is to collect, cleanse, manage and convert raw and unstructured data into insightful data that data analysts and data scientists can use. They must work on data architecture, collect and cleanse data from different sources, and conduct research.
Required Data Engineer Skills
The main skills a data engineer needs are SQL, Data Architecture, Coding, OS, etc.
Average Data Scientist Pay vs. Other Best Jobs
Let's look at the average salaries of other related roles compared to the Data Scientist
salary in India.
Software engineer average salary in India: INR 510,982
Senior Business Analyst average salary in India: INR 975,409
B.Sc. data science salary: INR 5,00,000
MS data science salary in India: INR 6,98,412
Technical Consultant average salary in India: INR 895,842
MBA data science salary in India: INR 6,00,000
How To Improve Data Science Salary?
Your ability to make earnings as a data scientist might be considerably impacted by your job choice. Generally speaking, working for major MNCs will allow you to earn more money than working for a smaller company. The organization you work for, however, is not the only factor that can affect your data scientist compensation. Your ability to generate more money can also be increased by taking on more responsibility.
Every time you advance from a Level 1 data scientist to a Level 2 data scientist, and so on, you can often anticipate a pay raise. Additionally, managing data scientists frequently involves managing people, which generally results in higher pay.
You can't afford to let your skill set stale out. For greater professional opportunities, you must always be a go-getter and upgrade your skills! Certain skills that aid a company in improving its operations are sought after by employers. There is a reason why having a skill set is important. Data science requires a variety of abilities, which reduces the amount of time it takes to complete tasks. Knowledge of these skills also helps one solve problems. Along with hard skills, soft skills let professionals think creatively and work more effectively for improved customer satisfaction.
Due to the difficulty in locating qualified candidates with the ideal combination of education, training, experience, and abilities, businesses face a shortage of these specialists, which contributes to the high competition in their pay scales. The industry offers countless opportunities, and jobs in data science promise a wealth of opportunities and great compensation. Your career will advance, and you will get first-hand experience with key technologies like R, SAS, Tableau, Python, and Hadoop. Enroll immediately to learn data science and enter the fascinating world of data.
The most likely prerequisites for becoming a data scientist are a bachelor's degree and coding proficiency. However, a lot of data scientists earn their PhDs and master's degrees. The higher your level of education, the higher your expected salary level. A master's degree in data science could be quite beneficial for you if you want to be a competitive candidate in this profession. A master's degree could help you advance in the field of data science by helping you get hired at your ideal organization or get promoted.
One of the most important criteria that determine the ultimate salary is experience. The ability to develop more workable solutions, having more in-depth knowledge, operating agility, and better leadership qualities all increase with experience in the sector. You'll probably earn more money as a data scientist the more experience you have.
How Much Can You Make as a Data Scientist?
How much do data scientists make? Data Science offers a huge range of applications, and with the quick uptake of big data ideas and technology, 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.
It's no secret that data scientists can add tremendous value to a position. However, it can be difficult to locate just one person who is capable of performing all the duties expected of a data scientist, and there is intense rivalry for these positions. Employers are, therefore, willing to pay huge compensations to skilled and experienced data scientists. Thus, a data science job's salary is comparatively higher than other job roles.
The job description and pay for data scientists are highly attractive. It's time if you believe you possess the necessary aptitude and zeal to pursue a career as a data scientist. To enter the world of data science, you can also think about taking some pertinent data science courses based on your degree of expertise and skill. Opportunities abound, and the market requires qualified professionals. Enroll in KnowledgeHut's best Data Science Certification and learn to tackle complex Data Science problems by acquiring skills across programming languages and technologies from industry experts.