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RBL Bank Data Science & Analytics Department Reviews

Updated 5 Apr, 2025
Overall Rating
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3.7/5
based on 57 reviews

Rating distribution

Category Ratings

4.0

Job security

3.7

Skill development

3.4

Company culture

3.4

Salary

3.4

Work-life balance

3.3

Work satisfaction

3.2

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What employees say about RBL Bank?

Insights from employee reviews on AmbitionBox

Workplace insights

Work from office

Work from office

82% employees reported

Alternate Saturday off

Alternate Saturday off

46% employees reported

Flexible timing

Flexible timing

47% employees reported

No travel

No travel

61% employees reported

Gender based rating

2.8
female

Rated by Women

7 reviews

3.8
male

Rated by Men

50 reviews

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Top Mentions in RBL Bank Data Science & Analytics Department Reviews

57 reviews found

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Top RBL Bank Interview Questions

Q1. Why spring has came into picture? What are the features it provides
Q2. Major financial ratios and their implications in credit risk assessment

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People also ask about RBL Bank's Data Science & Analytics Department

Is RBL Bank'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 57 employee reviews, it's clear that most employees have an average experience working at RBL Bank's Data Science & Analytics Department. Job security holds the highest rating at 4.0, while career growth is rated the lowest amongst all factors at 3.2.
Does RBL Bank's Data Science & Analytics Department pay their employees well?
According to AmbitionBox reviews, RBL Bank's Data Science & Analytics Department employees rate their salary and benefits at 3.4 out of 5, based on 57 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 RBL Bank's Data Science & Analytics Department salaries here and to read reviews specifically about salary and benefits at RBL Bank's Data Science & Analytics Department, click here .
How is the work culture at RBL Bank's Data Science & Analytics Department?
Work culture at RBL Bank's Data Science & Analytics Department is rated 3.4 out of 5 by 57 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 RBL Bank's Data Science & Analytics Department, click here .
How is the job security at RBL Bank's Data Science & Analytics Department?
Based on 57 reviews on AmbitionBox, RBL Bank's Data Science & Analytics Department employees rate job security at 4.0 out of 5. This high rating reflects strong employee confidence in the stability and security of their roles at RBL Bank's Data Science & Analytics Department, indicating that most employees feel secure in their positions and trust the company to provide a reliable work environment.
Is work from home available at RBL Bank's Data Science & Analytics Department?
According to AmbitionBox, 9% of RBL Bank's Data Science & Analytics Department employees work from home permanently, 82% work from the office, and 9% follow a hybrid model, based on 11 reviews in the last 6 months. This indicates an inclination for in-office work arrangements with fewer remote options. To read reviews specifically about work-life balance, click here.
How do I get a job at RBL Bank's Data Science & Analytics Department?
To get a job at RBL Bank'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 RBL Bank interview questions and practice your responses to prepare thoroughly.

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