Is SLB a good company to work for as a Data Science?

Data Science professionals working at SLB have rated their employer with 3.4 out of 5 stars in 41 Glassdoor reviews. This is a lower than average score with the overall rating of SLB employees being 3.9 out of 5 stars. Search open Data Science Jobs at SLB now and start preparing for your job interview by browsing frequently asked Data Science interview questions at SLB .

Does SLB pay Data Science employees well?

Data Science professionals rate their compensation and benefits at SLB with 3.6 out of 5 stars based on 41 anonymously submitted employee reviews. This is 8% worse than the company average rating for salary and benefits. Find out more about Data Science salaries at SLB.

How happy are Data Science professionals working at SLB?

39% of Data Science employees at SLB would recommend their employer to a friend. This rating has decreased by 51% in the past 12 months. Data Science professionals have also rated SLB with a 3.9 rating for work-life-balance, 4.1 rating for diversity and inclusion, 3.3 rating for culture and values and 2.7 rating for career opportunities.

What are the top reviewed jobs at SLB?

Field Engineer (924) , Intern (332) , Engineer (257) , Mechanical Engineer (222) , Internship (203) , Software Engineer (195) , Field Specialist (169) , Project Manager (169) , Wireline Field Engineer (119) , Senior Field Engineer (113) , Procurement Specialist (97) , Manufacturing Engineer (90) , Manager (73) , Geophysicist (71) , Financial Analyst (69)

What are the pros of working at SLB according to real employee reviews?

"Good benefits and offerings to employees is good due to the size of the company." ((in 824 reviews)); "Training is good and useful" ((in 682 reviews)); "Good pay and mbility is good" ((in 672 reviews)); "Salary is good and livable" ((in 531 reviews)); "Great people and genuinely international" ((in 498 reviews))

What are the cons of working at SLB according to real employee reviews?

"no inspiration in the lab setting everything was based on work completed and no work life balance." ((in 843 reviews)); "2) Some times people are abused because of business needs or poor management (managers fault) or oil crisis" ((in 442 reviews)); "long hours and lots of extrernal and internal pressure" ((in 238 reviews)); "Bad managers get away with breaking all the policies and rules and the ethics line is useless." ((in 227 reviews)); "Extended working hours" ((in 169 reviews))

SLB Data Science reviews

3.4

39% would recommend to a friend

(41 total reviews)

Olivier Le Peuch

44% approve of CEO

37% positive business outlook

Company ratings over time

Ratings trend for the last 6 months (41 reviews)

Ratings by demographic groups

Race / Ethnicity

Gender

Sexual orientation

Disability

Parent or family caregiver

Veteran status

Data Science employees have rated SLB with 3.4 out of 5 stars, based on 41 company reviews on Glassdoor. This indicates that most Data Science professionals have a good working experience there. SLB is rated in line with the average (within 1 standard deviation) by Data Science professionals compared to other employers within the Energía, minería e infraestructura pública industry (3.7 stars).

Reviews by job title

41 reviews

3.0

Mar 25, 2026

Good

Data scientist

Recommend

CEO approval

Business Outlook

Pros

Goodd working so far good

Cons

Stagnant work and tends to get monotonous

1.0

Mar 24, 2026

STSI Scam Centre - Your career suicide

Data scientist

Recommend

CEO approval

Business Outlook

Pros

2 days a week only

Cons

No growth and appraisal at all, management is full of ego and exploites the employees harshly , they play a lot of politics . They will make sure your skills die with stsi centre , no growth at all . No accountability.

5.0

Feb 9, 2026

Innovation: Solving Global Energy Challenges with Cutting-Edge AI

Data scientist

Recommend

CEO approval

Business Outlook

Pros

The work-life balance is excellent and you are surrounded by supportive, high-caliber people who make the daily environment great.

Cons

The tech stack feels dated and can be a bottleneck for innovation compared to modern industry standards.

Viewing 4 - 6 of 41 Reviews

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SLB Data Science reviews

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Reviews by job title

Good

STSI Scam Centre - Your career suicide

Innovation: Solving Global Energy Challenges with Cutting-Edge AI

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