Capgemini Junior Data Scientist interview questions
based on 7 ratings - Updated Jan 22, 2026
Averageinterview difficulty
Very positiveinterview experience
How others got an interview
100%
Applied online
Applied online
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Junior Data Scientist applicants have rated the interview process at Capgemini with 2.3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 66.3% positive. This is according to Glassdoor user ratings.
Candidates applying for Junior Data Scientist roles take an average of 30 days to get hired, when considering 3 user submitted interviews for this role. To compare, the hiring process at Capgemini overall takes an average of 22 days.
Common stages of the interview process at Capgemini as a Junior Data Scientist according to 3 Glassdoor interviews include:
Group panel interview: 33%
Skills test: 33%
Other: 33%
Here are the most commonly searched roles for interview reports -
I got to the OA round, I wasn't able to clear it but it had a few DSA questions, a few problem solving, 1 SQL and 1 Numpy question. Overall not very difficult if you come prepared.
I applied online. The process took 4 weeks. I interviewed at Capgemini (Warsaw, Masovia) in Aug 2025
Interview
1h technical interview, questions about general SQL, Python and Data Science. No case studies or behaviour questions. The project lead was present as well as a data scientist. Interview in english.
Interview questions [1]
Question 1
What is the difference between serialization and normalization?
3 Interview -HR -Technical Interview -Interview with the Head of Data Questions were simple but pertinent The process is very quick and efficient, I kept a good feeling of Capgemini
Interview questions [1]
Question 1
Explain Specificity and sensibility for a ML model