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SLBCompany guide
Updated weekly · Reviewed by the Dataford team

SLB interview process & guide 2026

Interview difficulty 5.1 / 10Based on 515 interview reports

Everything we know about interviewing at SLB: the process stage by stage, what each round tests, compensation by level, and reports from candidates who interviewed.

Software EngineerData ScientistBusiness AnalystFinancial AnalystBackend EngineerData Engineer
Practice SLB questionsSee the process

At a glance

5.1/ 10
Interview difficulty 5.1 / 10
Rated by candidates who reported interviewing here. Harder than 84% of companies we track.
11
Role guides
515
Interview reports
12
Topics tracked
$120k
Median total comp
6 rounds
  1. 1
    Initial screening call
  2. 2
    HR screening call or HR phone screening
  3. 3
    Online assessment
  4. 4
    Technical assessments
  5. 5
    Group discussion or group dynamics
  6. 6
    Final interviews and possible panel
01 · Overview

Interviewing at SLB

SLB interviews look like a pipeline that mixes recruiter or HR “fit” checks with multiple pruning technical stages. Across candidate reports and the extracted topic data, you should expect both timed or structured technical evaluation (coding, DSA, reasoning, and sometimes project or artifact based questions) and communication focused sessions such as interviews that emphasize how you explain your work.

What they actually test is consistent with the topic distribution: Python, algorithms and data structures, SQL, data analysis (EDA), predictive modeling, data preprocessing, and machine learning concepts show up at very high prominence in the collected question set. They also evaluate business analysis, accounting standards, and project or resume based technical interviewing, and they include communication as a prominent soft skill topic alongside problem solving.

In the reported process steps, you typically go through some combination of HR screening (initial or HR phone screening), group or collaborative exercises (group discussion or group discussion variant), online assessment and/or technical assessments, and one or more final rounds with technical leads and management. Timelines are described only qualitatively in the reports, with at least one “over a few weeks” flow, and multiple reports mention delays or lack of follow up even after early screens, so be ready for variable pacing after interviews.

Good to know

Even when the early screen feels easy, multiple reports describe no clear next steps or silent delays, so treat every round as conditional and keep your preparation moving until you get explicit confirmation.

02 · Difficulty and outcomes

How hard is the SLB interview?

Aggregated from 515 interview experiences
Difficulty mix
Easy19%
Medium58%
Hard23%
Most loops land in the middle: hard enough to prep for, rarely brutal.
Offer rate
49%about 1 in 2

About 1 in 2 candidates with a known outcome convert.

252 offers across 515 reports with a stated outcome.
Experience sentiment
71%positive
Positive 71%Neutral 20%Negative 8%
03 · The loop

The interview process, end to end

6 rounds · based on 515 candidate reports
  1. 1
    Initial screening call

    You begin with an initial screening call to assess fit. Reports describe recruiter style conversations focused on your resume, motivation, background, and basic behavioral questions.

    Not specified · resume fit · motivation · communication
  2. 2
    HR screening call or HR phone screening

    In some paths, you meet HR in an HR phone screening or HR screening call format. Reports describe a focus on your background, motivation to join, and basic behavioral questioning, sometimes with quick puzzles or an English check in certain accounts.

    Not specified · behavioral fit · communication · motivation
  3. 3
    Online assessment

    You may complete an automated online assessment that tests cognitive ability, logical reasoning, mathematics, physics, and programming skills, sometimes including a HackerRank or written technical test. Candidate reports describe OA/DSA style exams with mixed easy and medium questions and sometimes Java centered coding.

    Over a few weeks in at least one reported flow · cognitive ability · logical reasoning · programming fundamentals
  4. 4
    Technical assessments

    You may face technical assessments that include coding challenges or discussions on research papers, sometimes via third party platforms. Reports describe timed coding, DSA and OOP style fundamentals, and project logic or system and deep project emphasis depending on the stage.

    Not specified · coding · algorithms · OOP fundamentals
  5. 5
    Group discussion or group dynamics

    You may participate in group discussion or collaborative exercises to test team work and communication style. Reports include group dynamics stages with monitoring and eliminatory aspects in some accounts, and extracted topics emphasize communication and problem solving.

    Not specified · team collaboration · communication · leadership signals
  6. 6
    Final interviews and possible panel

    Final rounds can include behavioral interviews, sessions with technical leads and management focused on domain expertise and cultural alignment, and possible final panel interviews. Reports describe technical panel rounds, deep project walkthroughs, and sessions where both technical and behavioral questions are intertwined, including strong emphasis on explaining real artifacts and engineering decisions.

    Not specified · technical depth · domain knowledge · behavioral judgment
04 · Topic breakdown

What SLB actually tests for

How prominent each skill is across reported loops
100%
Machine Learning
100%
Python Programming
100%
Behavioral interviewing
100%
DSA (Data Structures & Algorithms)
100%
Data Structures & Algorithms (DSA)
100%
Data Visualization Principles
100%
Business Analysis
92%
Java
84%
Communication Skills
73%
Problem Solving
70%
Quantitative Reasoning
43%
Group Discussion (GD)
Tested less
Tested more
05 · Role guides

Find the guide for your role

This is your next step: open the guide for the role you are interviewing for. Each one carries the questions SLB interviewers actually ask that position, the loop structure, and pay by level.

Most reported roles
Software Engineer
187 interview reports
Real questions · Loop structure · Pay bands
Open the guide
Data Scientist
$52k-$187k total comp
Real questions · Loop structure · Pay bands
Open the guide
Business Analyst
9 interview reports
Real questions · Loop structure · Pay bands
Open the guide
Showing 11 of 11 role guides
Account Executive
Questions and loop structure
Open guide
Backend Engineer
Questions and loop structure
Open guide
Data Analyst
Questions and loop structure
Open guide
Data Engineer
Questions and loop structure
Open guide
Data Visualisation Specialist
Questions and loop structure
Open guide
Financial Analyst
Questions and loop structure
Open guide
Frontend Engineer
Questions and loop structure
Open guide
QA Engineer
Questions and loop structure
Open guide

Real interview experiences

What candidates said about the loop, difficulty, and outcomes, straight from recent reports for these roles.

Software Engineer
06 · Compensation

What SLB pays, by level

Estimated total compensation: base salary plus stock and annual cash bonus.

Median $120k
Level$50kTotal comp range$200kTotal
All levels
Base $52k-$187k
$52k-$187k
Ranges blend verified compensation data points. Base + stock + annual bonus shown. Estimates only.
07 · Insider tips

What separates offers from rejections

Patterns from candidates who got offers, and the mistakes that most often sink a loop.

Do this

  • Prepare to explain your projects in depth. Reports repeatedly describe deep project walkthroughs and technical panels that probe your understanding and the decisions you made.
  • Make your technical reasoning audible. For DSA and coding, reports mention complexity analysis and correct approach, and the topic set heavily emphasizes problem solving and communication.
  • Brush up on Python, SQL, and machine learning fundamentals. The extracted topic data shows Python programming, SQL, machine learning, predictive modeling, and data preprocessing as top prominence areas.
  • Practice group participation and leadership signals. Reports describe group dynamics or eliminatory group discussions, and the extracted topics include communication and collaboration style.

Avoid this

  • Don’t rely on “easy” early rounds as a guarantee. Candidate reports describe recruiter style conversations that felt easy but still ended with no offer and no follow up.
  • Don’t give generic project summaries. Reports emphasize connecting your project story directly to the technical depth being assessed, including system design or detailed knowledge depending on the stage.
  • Don’t underprepare on non-coding technical topics. The topic set includes accounting standards and business analysis alongside algorithms, SQL, and machine learning, so expect domain adjacent questions.
  • Don’t neglect communication in technical and non-technical contexts. Communication and problem solving are prominent topics, and multiple reports connect outcomes to how clearly you explain and adapt.
08 · FAQ

SLB interview FAQ

Answered from real candidate and workplace data
What does the overall interview loop look like at SLB?

Based on reported process steps, you start with initial screening calls or HR phone screening, then you may do online assessments and technical assessments. You can also encounter group discussion or group discussion variants, and later rounds can include behavioral rounds plus final interviews with technical leads and management, and possibly a final panel.

How hard are the interviews, overall?

Difficulty in candidate reports is mostly medium (58.0%), followed by hard (20.6%) and easy (19.6%), with very hard at 1.8%. Reports also describe that difficulty varies by round, with some candidates seeing later technical stages as significantly harder.

What topics should I prioritize the most?

From the extracted question prominence, you should prioritize Python programming and algorithms and data structures (both at 100 percentile), plus machine learning concepts, behavioral interviewing, communication, business analysis, and data analysis (EDA), all at very high prominence. Also prioritize predictive modeling (97), SQL (95), and data preprocessing (95), and be ready for project or resume based technical interviewing (96) and LLM related questions (92).

Are there accounting or business domain questions?

Yes. Accounting standards questions appear at 96 percentile prominence, and business analysis appears at 100 percentile. Candidate reports also describe role specific domain probing depending on the path.

Do I get feedback or a clear next step after screening?

Not reliably. Multiple reports mention promised follow ups with no response, and some describe no offer and no further process update even after early recruiter style conversations.

What is the offer rate from candidate reports?

The aggregated offer rate from the 500 candidate reports is 0.0%, meaning the dataset did not capture any offers. Use this as a reminder that you should not assume later rounds will happen, and you should keep preparing for multiple technical pruning points.

09 · In their words

What people say about SLB

Verbatim snippets from employee and candidate reviews
“The role offers great flexibility and solid benefits.”
Software Engineer5.0
“Concerns about volatility in the oil and gas industry impact the company's business outlook.”
Software Engineer5.0
“The 4 by 4 and 5 by 6 rotation schedules provide valuable flexibility and opportunities for short-term assignments in different locations.”
Software Engineer4.0
“Ensure adequate personnel levels to prevent overburdening existing staff.”
Software Engineer4.0
“Limited staffing can lead to an excessive workload without additional compensation.”
Software Engineer4.0
“The long hours can lead to a lack of work-life balance.”
Software Engineer5.0
10 · Keep prepping

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