Wipro vs Infosys vs TCS: Which is the Best for Indian Data Scientists?

Wipro vs Infosys vs TCS: Which is the Best for Indian Data Scientists?
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Wipro, Infosys, and TCS are set in a frenzy to hire the best Indian Data Scientists

The three biggest employers in the nation, TCS, Wipro, and Infosys, intend to hire about 1 million additional employees this year. In contrast to merely 31,000 workers hired by the three in 2020, they made a record-breaking 1.7 lakh hires in 2018. There is high demand for Indian Data Scientists.

The rise in the demand for qualified personnel and the ensuing rise in employee turnover may be cited as the main causes of this hiring frenzy. Although the IT and BPM sectors in India employ over 4.5 million people, there is a shortage of software engineers and data scientists. The best company for data scientists can't be known until we get to know what these firms are offering. The demand for the right young talent surges when businesses shake hands on large and lucrative transactions, leading to significant hiring sprees. Wipro, Infosys, and TCS have bagged big deals with firms.

Wipro

Wipro has announced a hiring drive and anticipates hiring over 30,000 freshmen in FY23 as it works to guarantee that supply is not a bottleneck in managing the environment of strong demand. Wipro stated that it is on track to hire over 70% more new talent from the campus in FY22 compared to the prior year due to the need for IT talent.

The average Wipro Data Scientist salary in India is ₹ 9.2 Lakhs for experience between 2 years to 9 years. Data Scientist salary at Wipro India ranges between ₹ 4.4 Lakhs to ₹ 18.0 Lakhs. IT Services & Consulting Companies Salary estimates are based on 319 salaries received from various employees of Wipro India.

What Qualities A Data Scientist Should Have?

Wipro's data scientist is primarily concerned with using data mining techniques, performing statistical analysis, and developing superior prediction systems. The Wipro data scientist will spend a lot of time using data visualization and data-centric digital storytelling. One should have the required qualifications and skills. Hand-on experience. Familiarity with the tools. Basic understanding of the subject. Good communication skills and the ability to work with a team.

Infosys

The second-largest corporation in India, Infosys, revealed its plans to hire more than 55,000 freshmen for the upcoming fiscal year (FY22) as part of its global graduate hiring initiative for a variety of employment.

The average Infosys Data Scientist salary in India is ₹ 8.8 Lakhs for experience between 2 years to 7 years. Data Scientist salary at Infosys India ranges between ₹ 4.5 Lakhs to ₹ 21.0 Lakhs. IT Services & Consulting Companies Salary estimates are based on 339 salaries received from various employees of Infosys India.

What Infosys Wants from Data Scientists?

This is what Infosys is looking for in a data scientist, or what they refer to as "Data Science Modelers," according to a job posting on LinkedIn: to maximize the business using analytics and statistical modeling and to develop, maintain, and support reporting and analytical tools. Candidate must have excellent machine learning techniques. One should have the required experience as per the company policy. Good applied statistical skills.

TCS

In the first half of FY22, TCS, the biggest IT business, hired 43,000 new staff members. Although TCS did hire 40,000 techies in FY21, it has opted to significantly increase its already enormous workforce in light of the attrition rate, rising demand, and digital transformation. 35,000 more recent college grads are being sought by the corporation for the second part of the fiscal year.

The average TCS Data Scientist salary in India is ₹ 7.5 Lakhs for experience between 2 years to 9 years. Data Scientist salary at TCS India ranges between ₹ 4.4 Lakhs to ₹ 15.0 Lakhs. IT Services & Consulting Companies Salary estimates are based on 1.2k salaries received from various employees of TCS India.

What TCS looks for in a Data Scientist?

The business uses centralized, non-hierarchical hiring procedures and prioritizes the acquisition of talent with knowledge of arithmetic, statistics, natural language understanding, deep learning, operational research, and product knowledge. The application of data science, analytics, and AI/ML techniques to particular use cases within a given business domain should be well supported by evidence. Excellent interpersonal and communication skills, as well as the capacity to work through ambiguity using a methodical and planned approach.

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