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Thomson Reuters Data Science & Analytics Department Reviews

Updated 4 Oct, 2024
Overall Rating
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4.4/5
based on 6 reviews

Rating distribution

Category Ratings

4.6

Work-life balance

4.4

Company culture

4.2

Job security

4.2

Skill development

4.1

Work satisfaction

3.8

Salary

3.5

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What employees say about Thomson Reuters?

Insights from employee reviews on AmbitionBox

Workplace insights

Monday to Friday

Monday to Friday

91% employees reported

Flexible timing

Flexible timing

68% employees reported

No travel

No travel

63% employees reported

Gender based rating

4.1
female

Rated by Women

12 reviews

4.5
male

Rated by Men

35 reviews

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Top Mentions in Thomson Reuters Data Science & Analytics Department Reviews

6 reviews found for "salary"

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Top Thomson Reuters Interview Questions

Q1. How to handle a bug in database
Q2. What is financial status of company

Get interview-ready with top interview questions

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Q3. How IPSec works? and what are the different packets which are exchanged dur ... read more
Q4. Monolithic and microservice architecture difference and how will you migrat ... read more
Q5. How do you check property is already initialized or not in Selenium

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People also ask about Thomson Reuters's Data Science & Analytics Department

Is Thomson Reuters'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 4.4 out of 5 from over 6 employee reviews, it's clear that most employees have a positive experience working at Thomson Reuters's Data Science & Analytics Department. Work-life balance holds the highest rating at 4.6, while career growth is rated the lowest amongst all factors at 3.5. Read reviews about work-life balance and career growth on AmbitionBox.
Does Thomson Reuters's Data Science & Analytics Department pay their employees well?
According to AmbitionBox reviews, Thomson Reuters's Data Science & Analytics Department employees rate their salary and benefits at 3.8 out of 5, based on 6 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 Thomson Reuters's Data Science & Analytics Department salaries here and to read reviews specifically about salary and benefits at Thomson Reuters's Data Science & Analytics Department, click here .
How is the work culture at Thomson Reuters's Data Science & Analytics Department?
Work culture at Thomson Reuters's Data Science & Analytics Department is rated 4.4 out of 5 by 6 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 Thomson Reuters's Data Science & Analytics Department. To read reviews specifically about work culture at Thomson Reuters's Data Science & Analytics Department, click here .
How is the job security at Thomson Reuters's Data Science & Analytics Department?
Based on 6 reviews on AmbitionBox, Thomson Reuters's Data Science & Analytics Department employees rate job security at 4.2 out of 5. This high rating reflects strong employee confidence in the stability and security of their roles at Thomson Reuters's Data Science & Analytics Department, indicating that most employees feel secure in their positions and trust the company to provide a reliable work environment.
How do I get a job at Thomson Reuters's Data Science & Analytics Department?
To get a job at Thomson Reuters'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 Thomson Reuters interview questions and practice your responses to prepare thoroughly.

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