Scope of Data Science in India

Data science is the collection, study, and maintenance of data. Contemporary data science may have developed in the previous few decades but people have been collecting data and analyzing the same since the beginning of civilization. There is perhaps no industry that cannot benefit from the same and this is why there is a great data science scope in India.
 

This is further proved by predictions from Mordor Intelligence that in India the industry could attain a value of $3.38 billion in 2029! Using data science can help businesses run more efficiently, provide personalized experiences to their product users and on their websites, and save money.

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The Biggest Users Of Data Science 

Following are the most prominent industries using data science nowadays:

• financial services
• retail
• healthcare
• agriculture 
• utilities 

In the financial services industry, data science helps companies detect financial fraud, predict the performance of financial products such as stocks, and evaluate the creditworthiness of their borrowers. In the e-commerce and retail sectors, data is used to personalize various experiences — such as marketing — based on consumers' needs. When you think of the scope of data science, this is something that you must know as well.         

Also read:- Masters in Data Science

The Top Data Science Careers In India 

With the rapid growth of technology and data-driven decision-making, the data science scope and salary in India have seen a significant rise. As businesses increasingly rely on data insights, pursuing a career in data science opens doors to rewarding opportunities across various industries.
 

1. Data Scientist 

The average yearly salary of a Data Scientist in India is 1,365,000, a good proof of the scope of data science in future. If you want to work as a data scientist you will need at least a bachelor’s degree in Data Science preceded by studying Mathematics, Statistics, and Physics in the 12th standard. In this role, you will use statistical models for analyzing and understanding data, and apply the results to problems of the actual world to find more efficient and/or newer solutions to those problems. In this role, you will be helping your employers strategize and solve problems by working with other professionals to understand how business practices can be informed and how company decisions can be driven by data. 
 

2. Machine Learning Engineer

On average, a machine learning engineer earns Rs 1,154,050 in India. This also proves the great scope in data science in India. You will need at least a bachelor’s degree in Computer Science, Robotics, or a related domain to work as a machine learning engineer. In your role as a machine learning engineer, you will use your background in data science to design, test, and create machine learning software solutions and algorithms. Here, you will apply the principles to make your company systems more accurate and efficient. This way, you will also help your organization or company get over problems.
 

3. Data Architect

Data architects earn a yearly salary of Rs 28 lakhs in India. If you want to work as a data architect you will need at least a bachelor’s degree in a domain like Information Systems or Computer Science. In the role of a data administrator or data architect, you will be supposed to design systems where the data of your company is stored and maintained. At times, this might call for you to have visualization skills so that you can recognize the correct data framework for such work.
 

4. Statistician 

The average yearly salary of statisticians in India is Rs 448,000. If you wish to work in this profile you will need a minimum of a bachelor’s degree in Statistics or a domain connected to it. Before that, you must also have studied Commerce or Science with Statistics in your 10+2. Statisticians in India normally work with organizations and companies such as research and development organizations as well as government agencies. In this role, you will collect, interact with, and organize huge amounts of data to recognize trends and make suggestions that can influence the decisions made by your employers.

Conclusion 

If you wish to work as a data science professional you will need a solid grounding in subjects such as Mathematics, Statistics, and Science. This includes both your university and secondary levels. Getting a bachelor’s degree in data science from a top online university such as Amity Online is a great way for you to develop a knowledge base that will help you become successful in the roles that we have spoken about so far as well as others. However, depending on the specific profile and/or industry you want to work in you may need more education in this regard such as a master’s degree.

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