
Capgemini Invent Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 22 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Capgemini Invent.
Data Scientist
The interview started with a 1-2-1 meeting that was 120 minutes long. They expected me to build a model within the first hour, and the second hour was for follow-up questions about it. Then, there was a group session that took up 4 hours of my day, starting at 8 am. I was thrown into a group and had 1 hour to do a task, but no one else joined, so I couldn't really show my collaboration skills. They joined when I had a presentation to give and asked questions, and that was it. They showed up at the end to see my presentation skills and based their judgment solely on that. This group interview was scheduled a week in advance, so I had to take half a day of annual leave for nothing.
- Tell me about Capgemini.
- Why are you interested in consulting?
- Can you share some examples of your past behavior in certain situations?
Data Science Consultant
The interview process started with a video call, which felt a bit impersonal. Then there was a talent selection event. First, we did a group exercise where we had about 30 minutes to read documents and discuss with the team while an assessor watched. After that, we had to present this to two Capgemini assessors in a client-facing role-play. We also had to create an Excel model using a provided dataset. It was disappointing that there wasn't much discussion about our skills or experience. The assessor during the group exercise prep wasn't really paying attention and their feedback didn't reflect everyone's contributions. The presentation felt more like a simulated client meeting, with unexpected curveballs instead of genuine discussion. They expect you to have specific knowledge of their area, which can lead to negative marking even if it's unrelated to the role. It's better to take credit for your own ideas because they assume whoever mentions it first came up with it. The Excel part felt like a waste of time, and the interviewer seemed to agree. It also became clear that the job description didn't match the actual role, and they didn't ask much about our CV or past experience. This process seems more suited for recent graduates than experienced hires.
- Which technology providers would you select for this?
- What is the required team size for this project?
- What is the estimated completion timeline for this project?
Data Scientist
A headhunter reached out to me about interviews at Capgemini Invent. Then I had: - an HR interview - an interview with someone in Data (non-technical) - a technical interview, after preparing a technical exercise. Overall a good quality, serious and professional interview. Downside: very long delays. 2 weeks between each interview.
- What would you do differently in a previous role?
- My client doesn't trust the proposed Machine Learning model, what should I do?
Capgemini Invent Data Scientist Interview Questions
Quoted word for word from Capgemini Invent interview reports.
“What is word2vec?”
Read reports →“Could you explain TFIDF?”
Read reports →“What is the estimated completion timeline for this project?”
Read reports →“What is precision?”
Read reports →“What about pyspark?”
Read report →“What is recall?”
Read report →“Can you tell me about stationary data?”
Read report →“My client doesn't trust the proposed Machine Learning model, what should I do?”
Read report →“Why Cap Invent?”
Read report →Formats, difficulty and experience
Across all 22 Capgemini Invent interview reports.