BNP Paribas Personal Finance Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 7 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at BNP Paribas Personal Finance.
BNP Paribas Personal Finance
Data Science Intern
Intern Difficult Positive experience Accept offer 3 rounds
Interview process
Recruiter call Technical screen Presentation Panel
Interview formats
Technical Presentation Behavioral
The interview was completely technical. We started with a mutual introduction and then I presented a relevant project in English. Finally, there were questions about the project and the field in general.
Confirmed questions1 question
- Can you define what a random forest is?
BNP Paribas Personal Finance
Data Scientist
Mid Average Positive experience No offer 1 round
Interview process
Technical screen
Interview formats
Behavioral Coding
The interview started with a fit-focused discussion: introduce yourself, talk about your motivations, and share your experiences. This was followed by a technical test: a one-page, double-sided coding exercise, exclusively in pandas, covering data manipulation, joins, and groupby. The overall difficulty was moderate, accessible, and reasonable.
Confirmed questions8 questions
- Can you tell me about yourself and your hobbies?
- Can you introduce yourself?
- What are your motivations for this role?
BNP Paribas Personal Finance
Data Scientist
Mid Average Neutral experience No offer 3 rounds
Interview process
Technical screen Onsite Recruiter call
Interview formats
Technical Behavioral
At BNP, the interview process typically has three parts: first, a technical interview to check your job skills, then a chat with a manager to see how you'd fit in operationally, and finally, an HR interview.
Confirmed questions5 questions
- Can you explain the distinction between supervised and unsupervised learning?
- What's your approach to handling a dataset with significant class imbalance?
- Could you outline the complete lifecycle of a machine learning project?
BNP Paribas Personal Finance Data Scientist Interview Questions
Quoted word for word from BNP Paribas Personal Finance interview reports.
“What is Seaborn in Python?”
Read reports →“What are the reasons for choosing L1 regularization over L2?”
Read reports →“Can you define what a random forest is?”
Read reports →“How would you perform data joins in pandas?”
Read reports →“How do you identify and address overfitting in a model?”
Read report →“How would you perform groupby operations in pandas?”
Read report →“Can you explain the distinction between supervised and unsupervised learning?”
Read report →“How would you calculate the ROI of a project or a strategic decision?”
Read report →“How would you perform data manipulation in pandas?”
Read report →Formats, difficulty and experience
Across all 7 BNP Paribas Personal Finance interview reports.