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Home TOP 10

Top 10 Companies Paying High Salaries To Data Scientists In India

July 13, 2021
data science

Data science has become of the most lucrative careers in 2021. This field of technology is being implemented in almost every aspect of business operations and industrial uses. The roots of data science trace back to the areas of physics and astronomy where large data sets were used to collect and scientifically analyze data. Currently, data science has made its mark in the global tech market as an integral part of digitization. This growing dependence on data science has also led to a rise in demand for data scientists.

Machine learning and data science are some of the most in-demand fields attracting thousands of data science professionals. Currently, India is witnessing a rapid digital transformation, making it the second-largest hub for data science in the world. According to reports, analysts predict that by 2026, there will be over 11 million job openings for data science professionals in India.

This article provides the top 10 companies offering the highest salaries to data scientists and professionals in the country.

• Microsoft: The tech giant Microsoft empowers organizations to achieve more efficiency through its tech services. Data scientists at Microsoft are responsible for identifying business and engineering problems with the help of data analysis and uncover valuable insights to operationalize the solution.

• Fractal Analytics: Fractal Analytics is one of the top analytics service providers in India. The company has a global footprint of several fortune 500 companies from various industries like retail, manufacturing, insurance, and technology. The company provides a pleasant working environment and focuses on providing custom-made analytics solutions for its clients.

• Deloitte: Since 1845, Deloitte has been offering top services in financial advisory, tax, audit, and consulting across the globe. Data scientists at Deloitte take up several analytics projects, which might also be multidisciplinary. They are responsible for simplifying complex data sets and ensure that it is understandable by the users.

• Amazon: It is one of the biggest e-commerce platforms in the world and relies heavily on data science. In India, the company hires skilled data scientists for important tasks like supply chain management, fraud, and fake review detection, inventory and sales forecasting, and other roles.

• Accenture: The company wholeheartedly believes that large-scale, complex, tech processes can greatly benefit from the efficient utilization of data. Defining strategies and delivering them with the help of integrated data are some of the chief responsibilities of data scientists in Amazon.

• UnitedHealth Group: Over the years, the company has invested handsomely in data science. Data in the healthcare industry has been an important asset. The company hires skilled data science professionals who have sufficient knowledge in areas of business needs, knowledge domain, analytical skills, and others.

• LinkedIn: LinkedIn is a social networking service for professionals that requires generating hidden insights from a large amount of data. It enables the application and the platform to show suitable jobs for the users according to their needs and qualifications.

• Flipkart: Flipkart has an enormous demand for data scientists. The growing scale of the company involves the mass generation of data. The company hires professionals to generate insights from the data and also to create and maintain data-based information associated with the domain.

• IBM: IBM offers consulting and multinational technology solutions to clients across the globe. The company requires data science professionals to integrate and maintain large volumes of data to derive operational insights to create effective solutions for the company.

• Myntra: Myntra is an online retail platform that needs data scientists to measure the company’s performance. Data science professionals improve decision-making processes through advanced analytics.

Source: analyticsinsight.net

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