Classification Salaries
62 verified profilesAverage salary is ₹26.8lakhs.
Employees who know Classification earn an average of ₹26.8lakhs, mostly ranging from ₹16.6lakhs to ₹114.3lakhs based on 62 profiles.
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Tata Power
Bengaluru | 1.5yrs | Base: ₹12.6lakhs Stocks: - Bonus: - CTC:₹12.6lakhs | |||
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Bengaluru | 2yrs | Base: ₹17.2lakhs Stocks: - Bonus: - CTC:₹17.2lakhs | |||
EY
Noida | 4.7yrs | Base: ₹22.8lakhs Stocks: - Bonus: ₹2.2lakhs CTC:₹25.0lakhs | |||
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How much do Classification employees make?
Employees who know Classification earn an average of ₹26.8lakhs, mostly ranging from ₹16.6lakhs per year to ₹114.3lakhs per year based on 62 profiles. The top 10% of employees earn more than ₹39.6lakhs per year.
What is the average salary of Classification?
Average salary of an employee who know Classification is ₹26.8lakhs.
What is the highest salary offered who know Classification?
Highest reported salary offered who know Classification is ₹125.2lakhs. The top 10% of employees earn more than ₹39.6lakhs per year. The top 1% earn more than a whopping ₹114.3lakhs per year.
What are the most common skills required who know Classification?
100% of employees have skills in classification . 0% also know python . 0% also know machine learning .
What are the highest paying jobs who know Classification?
The top 5 highest paying jobs who know Classification with reported salaries are:
data scientist - ₹44.0lakhs per year
group manager data sciences - ₹33.0lakhs per year
senior data analyst - ₹28.0lakhs per year
senior data scientist - ₹26.0lakhs per year
machine learning engineer - ₹22.0lakhs per year
Which are the top locations?
What is the median salary offered who know Classification?
The median salary approximately calculated from salary profiles measured so far is ₹21.7lakhs per year.
How is the age distributed among employees who know Classification?
39% of employees lie between 26-31 yrs . 16% of the employees fall in the age group of 21-26 yrs .
What qualifications do employees have who know Classification?
13% hold a PostGraduate degree. 2% hold a Graduate degree.
Which schools do employees working who know Classification went to?
15% of employees studied at Indian Institute of Technology . 6% studied at Birla Institute of Technology and Science .
How much do Classification employees make?
Employees who know Classification earn an average of ₹26.8lakhs, mostly ranging from ₹16.6lakhs per year to ₹114.3lakhs per year based on 62 profiles. The top 10% of employees earn more than ₹39.6lakhs per year.
What is the average salary of Classification?
Average salary of an employee who know Classification is ₹26.8lakhs.
What is the highest salary offered who know Classification?
Highest reported salary offered who know Classification is ₹125.2lakhs. The top 10% of employees earn more than ₹39.6lakhs per year. The top 1% earn more than a whopping ₹114.3lakhs per year.
What are the most common skills required who know Classification?
100% of employees have skills in classification . 0% also know python . 0% also know machine learning .
What are the highest paying jobs who know Classification?
The top 5 highest paying jobs who know Classification with reported salaries are:
data scientist - ₹44.0lakhs per year
group manager data sciences - ₹33.0lakhs per year
senior data analyst - ₹28.0lakhs per year
senior data scientist - ₹26.0lakhs per year
machine learning engineer - ₹22.0lakhs per year
Which are the top locations?
What is the median salary offered who know Classification?
The median salary approximately calculated from salary profiles measured so far is ₹21.7lakhs per year.
How is the age distributed among employees who know Classification?
39% of employees lie between 26-31 yrs . 16% of the employees fall in the age group of 21-26 yrs .
What qualifications do employees have who know Classification?
13% hold a PostGraduate degree. 2% hold a Graduate degree.
Which schools do employees working who know Classification went to?
15% of employees studied at Indian Institute of Technology . 6% studied at Birla Institute of Technology and Science .
- < 10 lakhs
- 10-20 lakhs
- 20-30 lakhs
- 30-40 lakhs
- 40-50 lakhs
- > 50 lakhs
- 21-26 yrs
- 26-31 yrs
- 31-36 yrs
- 36-41 yrs
- > 41 yrs
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