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What is the Salary of a Data Scientist of KPIT Technologies?

The typical annual salary for a Data Scientist working at KPIT Technologies in India, with 1 to 5 years of experience, is around ₹9.6 Lakhs per year. This means they earn roughly between ₹69,682 to ₹71,473 per month after deductions.

RoleAverage Annual Salary (INR)
Software Engineer₹4,81,245
Project Manager₹18,56,023
Senior Software Engineer₹10,35,002
Software Test Engineer₹4,85,200
Technical Consultant (Information Design & Documentation)₹6,73,153
Design Engineer₹4,46,727
Senior Design Engineer₹7,27,617
Mechanical Designer₹2,79,359
Program Manager₹20,32,516
Data Scientist₹9,60,000

Data Scientist at KPIT Technologies comes with more than just a salary. Here are some extra perks you might enjoy:

  • Healthcare Coverage: KPIT usually offers health insurance for you and your family, covering medical, dental, and vision needs.
  • Transport Assistance: Depending on where you work, KPIT might provide transport allowances or shuttle services to make commuting easier.
  • Flexible Work Options: You may have the chance to work from home sometimes, giving you flexibility in your schedule.
  • Education Support: KPIT could help you grow professionally by covering costs for courses, certifications, or further education.
  • Wellness Initiatives: KPIT may have programs to support your well-being, such as gym memberships or stress management workshops.

A Data Scientist is someone who gathers large amounts of data using analytical, statistical, and programming skills. Here's what they do:

  • Collecting and Extracting Data:
    • They gather information from different places like databases and APIs.
    • Then, they pull out useful data from these sources.
  • Analyzing and Understanding Data:
    • Data Scientists look at both structured (organized) and unstructured data.
    • They find patterns and insights within the data, using math and stats.
    • Their goal is to turn raw data into useful information.
  • Using Machine Learning and Building Models:
    • They use tools to pick out important parts of the data.
    • Data Scientists make and improve models that predict things based on data.
  • Preparing Data for Analysis:
    • Before digging in, they clean and change the data.
    • They fix any missing parts and make sure everything's on the same scale.
  • Improving Data Collection:
    • Data Scientists make data gathering better, so they don't miss anything important.
    • They also make sure the data is reliable and accurate.
  • Sharing and Visualizing Data:
    • Once they understand the data, they share their discoveries in clear ways.
    • This often means making graphs or reports that show what they found.

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