Average Data Scientist, IT with Machine Learning Skills Salary in Bangalore, Karnataka

₹991,767
Avg. SalaryShow Hourly Rate
₹120,000
Bonus
₹50,000
Profit Sharing
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The average salary for a Data Scientist, IT with Machine Learning skills in Bangalore, Karnataka is ₹991,767.
10%
₹464k
MEDIAN
₹992k
90%
₹2m
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United States (change)
Salary
₹464k - ₹2m
Bonus
₹-22 - ₹489k
Profit Sharing
₹3k - ₹95k
Total Pay
₹538k - ₹3m

Your Market Worth Over Time

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Job Description for Data Scientist, IT

Data Scientist, IT Tasks
  • Design and build new data set processes for modeling, data mining, and production purposes.
  • Determine new ways to improve data and search quality, and predictive capabilities.
  • Perform and interpret data studies and product experiments concerning new data sources or new uses for existing data sources.
  • Develop prototypes, proof of concepts, algorithms, predictive models, and custom analysis.

Data Scientist, IT Job Listings

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Popular Skills for Data Scientist, IT

Skills that pay less than market rate include Statistical Analysis, Big Data Analytics, Python, Data Analysis and R.

Pay by Experience Level for Data Scientist, IT

An entry-level Data Scientist, IT with less than 1 year experience can expect to earn an average total compensation (includes tips, bonus, and overtime pay) of ₹700,000 based on 7 salaries. An early career Data Scientist, IT with 1-4 years of experience earns an average total compensation of ₹806,752 based on 19 salaries. A mid-career Data Scientist, IT with 5-9 years of experience earns an average total compensation of ₹1,725,000 based on 8 salaries. An experienced Data Scientist, IT with 10-19 years of experience earns an average total compensation of ₹2,429,747 based on 8 salaries.
Employees with Data Scientist, IT in their job title in Chennai, Tamil Nadu earn an average of 46.2% more than the national average. The lowest salaries can be found in Pune, Maharashtra (29.4% less), Mumbai, Maharashtra (27.9% less) and Hyderabad, Andhra Pradesh (9.3% less).

Years of Experience

This data is based on 42 survey responses.
Entry Level
16.7%
Early Career
45.2%
Mid Career
19.0%
Experienced
19.0%

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