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Mahindra Finance
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Filter reviews by Mahindra Finance Data Science & Analytics Department Reviews
Overall Rating
based on 5
reviews
What employees say about Mahindra Finance?
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Workplace insights
Monday to Saturday
47% employees reported
Flexible timing
58% employees reported
Within city
58% employees reported
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Gender based rating
Rated by Women
4 reviews
Rated by Men
21 reviews
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5 reviews found for "work culture"
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Q1. What is the difference between bank and nonbanking financial services?
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Q2. What are the Mahindra Finance company working culture?
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Q3. What is tntra state sale and inter state sale about GST
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Q4. What are the algorithms you know in machine learning and their details ?
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Q5. what is API testing how will you perform API Test?
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Career Advice
2w (edited)
a team lead
I'm getting a good offer after joining a company. It's been 10 days only . Can i leave it?
I recently joined a new company, and within 10 days, I received a more attractive offer from another company. Can I resign without serving the notice period? Would declining any salary and relieving letter (Experience Letter) it easier for the company to agree to my departure?
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People also ask about Mahindra Finance's Data Science & Analytics Department
Is Mahindra 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 3.7 out of 5 from over 5 employee reviews, it's clear that most employees have an average experience working at Mahindra Finance's Data Science & Analytics Department.
Salary holds the highest rating at 4.0, while career growth is rated the lowest amongst all factors at 3.3.
Read reviews about
salary
and
career growth
on AmbitionBox.
Does Mahindra Finance's Data Science & Analytics Department pay their employees well?
According to AmbitionBox reviews, Mahindra Finance's Data Science & Analytics Department employees rate their salary and benefits at 4.0 out of 5, based on 5 reviews. The rating reflects a high level of satisfaction among employees regarding compensation and benefits, indicating that Mahindra Finance's Data Science & Analytics Department is generally seen as a place that values and rewards its workforce fairly. You can know more about Mahindra Finance's Data Science & Analytics Department salaries
here
and to read reviews specifically about salary and benefits at Mahindra Finance's Data Science & Analytics Department,
click here
.
How is the work culture at Mahindra Finance's Data Science & Analytics Department?
Work culture at Mahindra Finance's Data Science & Analytics Department is rated 3.4 out of 5 by 5 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. To read reviews specifically about work culture at Mahindra Finance's Data Science & Analytics Department,
click here
.
How is the job security at Mahindra Finance's Data Science & Analytics Department?
Based on 5 reviews on AmbitionBox, Mahindra Finance's Data Science & Analytics Department employees rate job security at 3.7 out of 5. This lower rating indicates that a significant number of employees may have concerns about their job stability and the reliability of their roles at Mahindra Finance's Data Science & Analytics Department. To read reviews about job security at Mahindra Finance's Data Science & Analytics Department,
click here
.
How do I get a job at Mahindra Finance's Data Science & Analytics Department?
To get a job at Mahindra Finance's Data Science & Analytics Department, start by browsing the current open positions
here
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 Mahindra Finance interview questions and practice your responses to prepare thoroughly.
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|
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