Project Manager Data Sciences Salaries
2 verified profilesAverage salary is ₹19.3lakhs.
Employees as Project Manager Data Sciences earn an average of ₹19.3lakhs, mostly ranging from ₹18.7lakhs to ₹21.0lakhs based on 2 profiles.
Sigmoid Analytics
Bangalore | 7yrs | CTC:₹21.0lakhs | |||
Hewlett Packard
Bangalore | 11yrs | CTC:₹17.5lakhs |
100% real time & verified!
How much do Project Manager Data Sciences employees make?
Employees as Project Manager Data Sciences earn an average of ₹19.3lakhs, mostly ranging from ₹18.7lakhs per year to ₹21.0lakhs per year based on 2 profiles. The top 10% of employees earn more than ₹20.6lakhs per year.
What is the average salary of Project Manager Data Sciences?
Average salary of an employee as Project Manager Data Sciences is ₹19.3lakhs.
What is the median salary offered as Project Manager Data Sciences?
The median salary approximately calculated from salary profiles measured so far is ₹19.3lakhs per year.
How is the age distributed among employees as Project Manager Data Sciences?
This group has a predominantly younger workforce. 100% of employees lie between 31-36 yrs .
How much do Project Manager Data Sciences employees make?
Employees as Project Manager Data Sciences earn an average of ₹19.3lakhs, mostly ranging from ₹18.7lakhs per year to ₹21.0lakhs per year based on 2 profiles. The top 10% of employees earn more than ₹20.6lakhs per year.
What is the average salary of Project Manager Data Sciences?
Average salary of an employee as Project Manager Data Sciences is ₹19.3lakhs.
What is the median salary offered as Project Manager Data Sciences?
The median salary approximately calculated from salary profiles measured so far is ₹19.3lakhs per year.
How is the age distributed among employees as Project Manager Data Sciences?
This group has a predominantly younger workforce. 100% of employees lie between 31-36 yrs .
| 10-20 lakhs | 10-20 lakhs Percentage : 50 |
|---|---|
| 20-30 lakhs | 20-30 lakhs Percentage : 50 |
| 31-36 yrs | 31-36 yrs Percentage : 100 |
|---|
Browse by Titles
Software Engineer
Business Analyst
Product Manager
Engineering Manager
Data Scientist
