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Filter reviews by Piramal Capital Housing Finance Data Science & Analytics Department Reviews
Overall Rating
based on 29
reviews
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Monday to Friday
83% employees reported
Flexible timing
86% employees reported
No travel
71% employees reported
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Rated by Women
5 reviews
Rated by Men
23 reviews
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Career Growth
2w (edited)
a technical lead
Help to Understand
I have below 2 offers. which one to join. Need some guidance.
1. Luxoft - 32 fixed lpa. WFH. 1 lac joining bonus.
2. TCS - 31 fixed . over all ctc - 36. no WFH. 2 lac joining bonus
(temporarily hybrid 3 days in client location which is near to my place till the time assigned to same project)
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People also ask about Piramal Capital Housing Finance's Data Science & Analytics Department
Is Piramal Capital Housing Finance's Data Science & Analytics Department a good place to work for?
The experience of working at any company can vary based on factors like team, manager, role, company policy etc. However, with an overall rating of 3.6 out of 5 from over 29 employee reviews, it's clear that most employees have an average experience working at Piramal Capital Housing Finance's Data Science & Analytics Department.
Job security holds the highest rating at 4.1, while career growth is rated the lowest amongst all factors at 2.8.
Does Piramal Capital Housing Finance's Data Science & Analytics Department pay their employees well?
According to AmbitionBox reviews, Piramal Capital Housing Finance's Data Science & Analytics Department employees rate their salary and benefits at 3.0 out of 5, based on 29 reviews. The rating reflects an average level of satisfaction among employees regarding compensation and benefits, indicating that while employees find the compensation and benefits acceptable, there is room for improvement in these areas. You can know more about Piramal Capital Housing Finance's Data Science & Analytics Department salaries
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and to read reviews specifically about salary and benefits at Piramal Capital Housing Finance's Data Science & Analytics Department,
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How is the work culture at Piramal Capital Housing Finance's Data Science & Analytics Department?
Work culture at Piramal Capital Housing Finance's Data Science & Analytics Department is rated 3.6 out of 5 by 29 employees on AmbitionBox, indicating an average environment. Work culture encompasses aspects like collaboration, support, and overall employee satisfaction. The rating reflects that while some aspects of the work culture are satisfactory, there is room for improvement in certain areas.
How is the job security at Piramal Capital Housing Finance's Data Science & Analytics Department?
Based on 29 reviews on AmbitionBox, Piramal Capital Housing Finance's Data Science & Analytics Department employees rate job security at 4.1 out of 5. This high rating reflects strong employee confidence in the stability and security of their roles at Piramal Capital Housing Finance's Data Science & Analytics Department, indicating that most employees feel secure in their positions and trust the company to provide a reliable work environment.
How do I get a job at Piramal Capital Housing Finance's Data Science & Analytics Department?
To get a job at Piramal Capital Housing Finance's Data Science & Analytics Department, start by browsing the current open positions
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and apply for roles that align with your skills and interests. It’s crucial to tailor your resume and cover letter to highlight relevant experience. Additionally, research top Piramal Capital Housing Finance interview questions and practice your responses to prepare thoroughly.
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- Piramal Capital Housing Finance Data Science & Analytics Department Reviews Reviews
|
Data Scientist
23
salaries
|  ₹16.5 L/yr - ₹27 L/yr |
|
Data Engineer
10
salaries
| ₹6.5 L/yr - ₹13.4 L/yr |
|
Assistant Vice President
9
salaries
| ₹20 L/yr - ₹45 L/yr |
|
Senior Data Scientist
5
salaries
| ₹20.5 L/yr - ₹29.1 L/yr |
|
Business Analyst
4
salaries
| ₹9 L/yr - ₹14 L/yr |
Free meal
1 total
response
Health insurance
1 total
response
Job/Soft skill training
1 total
response
Retirement benefits
0 total
responses
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