1) Technical interview round with question around python list and dict.
Question related to basic data cleaning and feature engineering. Explain various machine learning algorithms used for classification. Metrics to evaluate a model
Interview questions [1]
Question 1
coding around python list and dict.
Question related to basic data cleaning and feature engineering.
Explain various machine learning algorithms used for classification. Metrics to evaluate a model
PCA
I applied through a recruiter. The process took 3 weeks. I interviewed at Capgemini in Apr 2025
Interview
The overall process is quite smooth, with the HR team being supportive and responsive at every stage. However, the technical interview can be challenging and requires strong preparation and clarity.
The full interview process was clear from the beginning. It was smooth, flexible, and suitable for the position responsibilities I am applied for. The HR was helpful with all my inquiries.
Interview questions [1]
Question 1
How did you handle the most difficult situations in your current role?
Senior Data Scientist applicants have rated the interview process at Capgemini with 2.5 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 50% positive. To compare, the company-average is 66.3% positive. This is according to Glassdoor user ratings.
Candidates applying for Senior Data Scientist roles take an average of 21 days to get hired, when considering 2 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 Senior Data Scientist according to 2 Glassdoor interviews include:
Personality test: 33%
One on one interview: 33%
Skills test: 33%
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