Data Science applicants have rated the interview process at BNP Paribas with 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 57.8% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Science roles take an average of 7 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at BNP Paribas overall takes an average of 39 days.
Common stages of the interview process at BNP Paribas as a Data Science according to 1 Glassdoor interviews include:
Skills test: 50%
One on one interview: 50%
Here are the most commonly searched roles for interview reports -
I applied online. I interviewed at BNP Paribas (París) in Apr 2025
Interview
2 interviews 1 zoom call with team and then in person meeting with the boss, linear regression hypotheses, questions about tree models and shap values, clustering algorithms, TF-IDF, k-means and desity based clustering. Questions about CV.
Three rounds: an initial screening on background and motivation, a technical interview with probability, statistics, and coding questions, and a final discussion on research interests and fit with the team.
Interview questions [1]
Question 1
How would you design and validate a quantitative model to predict stock prices using alternative data?
1 screening hacker rank + 1 technical interview and 1 fit interview scheduled 2 weeks later
The process was mostly aimed towards technical skills relevant to the job (CV, NLP)
Interview questions [1]
Question 1
How many throws of a coin in average to get two successive heads