Top Indian cities for data science jobs

Key takeaways:

• Data science, which is highly sought after and examines how digital data is transforming sectors and supporting decision-makers in their job, is in great demand.

• Data science is essential for organizations because it has been revealing excellent ideas and intelligent decisions across many industry sectors.

• Companies are now investing in data science and paying lucrative salaries to the right candidate. 

Data science comprises methodologies, processes, and strategies rooted in various disciplines, such as statistics, cognitive science, computing, and information science. Both organized and unstructured data sources can be used with these strategies to extract information. Today, data science is having an impact on a wide range of businesses. 

Every area of the economy employs data science to reach its goals and make wise decisions. Data sciences can be applied in various sectors, including banking, aviation, retail, manufacturing, pharmaceuticals, retail, education, and gambling.

The employment outlook for data scientists is encouraging. Several big companies in India are using data science and are constantly looking for professionals and specialists in this area. Due to the ongoing demand for data science jobs, you will undoubtedly earn a substantial income if you become a data scientist. However, the amount of money you make will depend on your location and your experience. The top data science jobs in India or the highest-paying companies can be found below.

Read more: Is data science a good career option?

Data science jobs in India

Let’s look at the best cities listed below for data science. 

• Hyderabad

With Amazon establishing its largest campus in the world in the City of Pearls, the city has become another expanding IT hotspot in the south. Data science jobs in Hyderabad offer room for expansion in this city. Not only this, but startups are beginning to gain success in this area.

The leading locations for Data Science opportunities include Raheja Mindspace IT Park, Cyber Pearl, and DLF IT SEZ. Some of the companies hiring for data science in Hyderabad includes – Kanerika Inc., Vitwit, TCS, and Wipro. 

In Hyderabad, a Data Scientist’s yearly compensation is predicted to be INR 1,226,336, with an average pay of INR 1,022,150.

• Chennai

Chennai is quickly becoming a location for outsourcing information technology, and an increasing number of IT parks are being constructed here.

The leading companies, along with locations for data science jobs in Chennai, include- Virtusa – DLF IT park, Crayon data – Elnet Software City, and PWC – Greams road. 

The average salary for a data scientist is INR 10,32,739 per year in Chennai, Tamil Nadu.

• Bangalore

India’s IT Capital has a lot to offer in data science. Additionally, this city was among the first to employ a data scientist. To build their businesses, start-ups initially need a lot of data and information. There are more chances in data analytics due to the expanding start-up culture. 

The best companies & places for data science jobs in Bangalore are – PWC – Murphy road, Ulsoor, Genpact – Whitefield, BTM Layout, and Electronic City. Top companies hiring data scientists in Bangalore are Amazon, Accenture, EY, IBM, Capgemini and more.

In Bangalore, a data scientist makes an average salary of INR 1,013,493

• Pune 

Pune has long been India’s top location for the IT sector due to its excellent educational and historical history. Pune has several start-ups with big data science and software development prospects. Pune is a stimulating location for professionals, with many opportunities for innovation and research.

The leading locations for data science jobs in Pune include MagarPatta City, EON IT Park, and Tech Park One. Some of the companies hiring for data science in Pune includes – Accenture, Zensar technologies, Innoplexus, Infosys, and more. 

In Pune, a data scientist makes an average salary of INR 809,220.

• Mumbai

Mumbai has emerged as the highest-paying location regarding data science wages in recent years as the city’s proportion of positions in the analytics industry rises. Start-ups have been established here over the past few years, which has resulted in more chances in data science.

The top three areas for data science jobs in Mumbai are Andheri, Thane, and Navi Mumbai. Some of the companies hiring for data science in Mumbai includes – Moringstar, Cognizant Technology Solutions, Capegimini, Deloitte, and more. 

In Mumbai, a data scientist makes an average salary of INR 854,158.

• Gurgaon

Top startups with headquarters in Gurgaon include OYO and Urban Company. Data professionals can advance their careers even in this metropolis, particularly startup businesses. Gurgaon is known for its diverse street food options, extensive metro system, and easily accessible way of living.

Localities in Unitech Cyber Park and DLF Cyber City have state-of-the-art IT businesses which provide various data science jobs in Gurgaon. Some of the companies hiring for data science in Gurgaon include – Amazon, Larsen & Toubro Infotech Limited, PayU, and more. 

In Gurgaon, a data scientist makes an average salary of INR 1,026,972.

Top companies hiring in data science in India

#1. Accenture

Accenture is the ideal employer for you if you want to make excellent use of data and have the ability to deliver distinctive methods using data. The corporation claims that Accenture has developed multidisciplinary teams of AI and data experts leveraging their skills ethically and responsibly to achieve significant change and demonstrable effects for businesses and society.

#2. Sigmoid

One of India’s most rapidly expanding product-based Big Data companies is Sigmoid. Its goal is to assist businesses in making data-driven decisions by providing petabyte-scale, incredibly quick insights.

Sigmoid was established in 2013 and quickly became a significant participant in advanced analytics. It is supported by Sequoia funding, experts, and consultants.

#3. Amazon, AWS

AWS, a subsidiary of Amazon, is now searching for a range of data science positions, from entry-level internships to experienced professionals. The business is renowned for its work in e-commerce, supply chain management, cloud computing, and AI/ML development.

#4. EY

EY is a large, international professional services company with a stronger emphasis on accounting, technology, and law. Strategy, consulting, people and workforce, transactions and corporate finance, assurance, tax, managed services, and private company solutions are some of their areas of expertise.

#5. SalesForce

Salesforce is a cloud computing company that provides commercial software that is available via subscription. The company was founded by Frank Dominguez, Parker Harris, David Moellenhoff, and Marc Russell Benioff.

Utilizing a customer relationship management strategy, it develops business cloud computing services. The company also provides consultation, training, assistance, and orientation services.

Master your data science expertise from Online Manipal

Manipal Academy of Higher Education (MAHE) is now offering an online M.Sc. in Data Science through Online Manipal for professionals who want to advance in their careers in this domain. You will graduate from the program with the technical know-how required to launch a successful Data Science career. The curriculum aims to educate you for analytical and leadership roles in various sectors by fusing big data analytics, machine learning, and statistics in an ideal way. 

Also, you will gain knowledge on how to effectively work in teams, apply machine learning to predictive modeling, solve problems using real-world data, generate strategic and tactical suggestions, and manage processes, work, and people.

Students studying data science can also receive placement assistance from Online Manipal. It enables you to land a position that suits you and advance your career.

Conclusion

Data science is undoubtedly the way of the future. Companies using their data to offer better goods, services, and experiences will prosper as the world transitions to a data-driven decision-making model.

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