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Bajaj Allianz Life Insurance Data Science & Analytics Department Reviews

Updated 25 Feb, 2025
Overall Rating
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3.8/5
based on 32 reviews

Rating distribution

Category Ratings

3.9

Job security

3.7

Salary

3.7

Work-life balance

3.5

Company culture

3.5

Skill development

3.5

Promotions

3.5

Work satisfaction

What employees say about Bajaj Allianz Life Insurance?

Insights from employee reviews on AmbitionBox

Workplace insights

Monday to Friday

Monday to Friday

57% employees reported

Flexible timing

Flexible timing

65% employees reported

No travel

No travel

62% employees reported

Gender based rating

3.7
female

Rated by Women

9 reviews

3.8
male

Rated by Men

22 reviews

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Top Mentions in Bajaj Allianz Life Insurance Data Science & Analytics Department Reviews

32 reviews found

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Top Bajaj Allianz Life Insurance Interview Questions

Q1. What is Bajaj life insurance done?
Q2. Difference between Participating product &non participating product?

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Q3. What do you know about insurance?
Q4. Did you have a good incentive plan there ?
Q5. In India what is the compulsory insurance?
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People also ask about Bajaj Allianz Life Insurance's Data Science & Analytics Department

Is Bajaj Allianz Life Insurance'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 3.8 out of 5 from over 32 employee reviews, it's clear that most employees have an average experience working at Bajaj Allianz Life Insurance's Data Science & Analytics Department. Job security holds the highest rating at 3.9, while company culture is rated the lowest amongst all factors at 3.5. Read reviews about job security and company culture on AmbitionBox.
Does Bajaj Allianz Life Insurance's Data Science & Analytics Department pay their employees well?
According to AmbitionBox reviews, Bajaj Allianz Life Insurance's Data Science & Analytics Department employees rate their salary and benefits at 3.7 out of 5, based on 32 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 Bajaj Allianz Life Insurance's Data Science & Analytics Department salaries here .
How is the work culture at Bajaj Allianz Life Insurance's Data Science & Analytics Department?
Work culture at Bajaj Allianz Life Insurance's Data Science & Analytics Department is rated 3.5 out of 5 by 32 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 Bajaj Allianz Life Insurance's Data Science & Analytics Department, click here .
How is the job security at Bajaj Allianz Life Insurance's Data Science & Analytics Department?
Based on 32 reviews on AmbitionBox, Bajaj Allianz Life Insurance's Data Science & Analytics Department employees rate job security at 3.9 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 Bajaj Allianz Life Insurance's Data Science & Analytics Department. To read reviews about job security at Bajaj Allianz Life Insurance's Data Science & Analytics Department, click here .
How do I get a job at Bajaj Allianz Life Insurance's Data Science & Analytics Department?
To get a job at Bajaj Allianz Life Insurance'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 Bajaj Allianz Life Insurance interview questions and practice your responses to prepare thoroughly.

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