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Filter reviews by Affine Data Science & Analytics Department Reviews
Overall Rating
based on 13
reviews
What employees say about Affine?
Insights from employee reviews on AmbitionBox
Workplace insights
Hybrid
76% employees reported
Monday to Friday
100% employees reported
Flexible timing
72% employees reported
No travel
73% employees reported
View more detailed insights
Gender based rating
Rated by Women
14 reviews
Rated by Men
50 reviews
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in Affine Data Science & Analytics Department Reviews
13 reviews found for "learning"
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Career Growth
2w (edited)
littleiv
·
works at
Capgemini
Tech lead - Tech Mahindra or IBM
I have 2 offers in same location : Need guidance to choose one
1) Tech Mahindra (U4)
Fixed 23.9 Variable 2.6=26.5
No joining bonus
Project details informed already
2)IBM(7B)
Fixed 21.37 + Variable 0-10%
Joining bonus is 1 lakh
Your Responses and thoughts will be appreciated.
Thank you
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People also ask about Affine's Data Science & Analytics Department
Is Affine'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 3.3 out of 5 from over 13 employee reviews, it's clear that most employees have an average experience working at Affine's Data Science & Analytics Department.
Skill development holds the highest rating at 3.6, while work-life balance is rated the lowest amongst all factors at 2.9.
Read reviews about
skill development
and
work-life balance
on AmbitionBox.
Does Affine's Data Science & Analytics Department pay their employees well?
According to AmbitionBox reviews, Affine's Data Science & Analytics Department employees rate their salary and benefits at 3.1 out of 5, based on 13 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 Affine's Data Science & Analytics Department salaries
here
and to read reviews specifically about salary and benefits at Affine's Data Science & Analytics Department,
click here
.
How is the work culture at Affine's Data Science & Analytics Department?
Work culture at Affine's Data Science & Analytics Department is rated 3.2 out of 5 by 13 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 Affine's Data Science & Analytics Department,
click here
.
How is the job security at Affine's Data Science & Analytics Department?
Based on 13 reviews on AmbitionBox, Affine's Data Science & Analytics Department employees rate job security at 3.1 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 Affine's Data Science & Analytics Department. To read reviews about job security at Affine's Data Science & Analytics Department,
click here
.
Is work from home available at Affine's Data Science & Analytics Department?
According to AmbitionBox, 6% of Affine's Data Science & Analytics Department employees work from home permanently, 18% work from the office, and 76% follow a hybrid model, based on 17 reviews in the last 6 months. This reflects a flexible approach to work arrangements. To read reviews specifically about work-life balance,
click here.
How do I get a job at Affine's Data Science & Analytics Department?
To get a job at Affine'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 Affine interview questions and practice your responses to prepare thoroughly.
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