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Swiss Re Data Science & Analytics Department Reviews

Updated 3 Apr, 2025
Overall Rating
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4.0/5
based on 40 reviews

Rating distribution

Category Ratings

4.5

Work-life balance

4.3

Company culture

3.6

Job security

3.5

Work satisfaction

3.4

Salary

3.4

Skill development

2.9

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What employees say about Swiss Re?

Insights from employee reviews on AmbitionBox

Workplace insights

Hybrid

Hybrid

100% employees reported

Monday to Friday

Monday to Friday

100% employees reported

Flexible timing

Flexible timing

100% employees reported

No travel

No travel

61% employees reported

Gender based rating

4.5
female

Rated by Women

6 reviews

4.0
male

Rated by Men

33 reviews

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4.0
 • 40 Reviews
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Top Mentions in Swiss Re Data Science & Analytics Department Reviews

40 reviews found

Sort by: Popular

Top Swiss Re Interview Questions

Q1. 1gram of Protein gives how many energy calories
Q2. In which situations what type of charts will be used

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Q3. Explain how do you plan a release end to end?
Q4. What is the information needed on the first page of a premium insurance
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People also ask about Swiss Re's Data Science & Analytics Department

Is Swiss Re'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 4.0 out of 5 from over 40 employee reviews, it's clear that most employees have a positive experience working at Swiss Re's Data Science & Analytics Department. Work-life balance holds the highest rating at 4.5, while career growth is rated the lowest amongst all factors at 2.9. Read reviews about work-life balance and on AmbitionBox.
Does Swiss Re's Data Science & Analytics Department pay their employees well?
According to AmbitionBox reviews, Swiss Re's Data Science & Analytics Department employees rate their salary and benefits at 3.4 out of 5, based on 40 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 Swiss Re's Data Science & Analytics Department salaries here and to read reviews specifically about salary and benefits at Swiss Re's Data Science & Analytics Department, click here .
How is the work culture at Swiss Re's Data Science & Analytics Department?
Work culture at Swiss Re's Data Science & Analytics Department is rated 4.3 out of 5 by 40 employees on AmbitionBox, indicating a generally positive environment. Work culture encompasses aspects like collaboration, support, and overall employee satisfaction. The strong rating reflects a supportive and engaging atmosphere at Swiss Re's Data Science & Analytics Department. To read reviews specifically about work culture at Swiss Re's Data Science & Analytics Department, click here .
How is the job security at Swiss Re's Data Science & Analytics Department?
Based on 40 reviews on AmbitionBox, Swiss Re's Data Science & Analytics Department employees rate job security at 3.6 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 Swiss Re's Data Science & Analytics Department.
Is work from home available at Swiss Re's Data Science & Analytics Department?
According to 13 AmbitionBox reviews, Swiss Re's Data Science & Analytics Department does not currently offer any work-from-home options. All employees work from the office, reflecting a fully on-site work arrangement. To read reviews specifically about work-life balance, click here.
How do I get a job at Swiss Re's Data Science & Analytics Department?
To get a job at Swiss Re'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 Swiss Re interview questions and practice your responses to prepare thoroughly.

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