I applied through college or university. The process took 3 weeks. I interviewed at BNP Paribas (Pantin) in Nov 2023
Interview
before any interview, there is an only Multiple choice test. Mostly statistics and general ML questions. Try to find some mock quiz to prepare and learn about probability distribution like bernoulli
Interview questions [3]
Question 1
Live coding: finding the maximum continuous sum of an array
if we toss a coin multiple times untils a player win, whether player A who wins by achieving 3 consecutive Head-Head-Tail or player B who wins by achieving Head-Tail-Tail would be more likely to win?
Questions about transformers and ML, depends on your experience and the project at hand. it never hurts to study questions like "what are the differences between model families like BERT, T5 and GPT?
I applied through other source. I interviewed at BNP Paribas (Pantin)
Interview
- entretien de connaissances générales de ML/DL (avec un data scientist)
- entretien de code, exercice type leetcode avec difficulté croissante (avec un data scientist)
- entretien business et motivation (avec un manager)
Interview questions [1]
Question 1
Business: pourquoi est-ce que vous postulez à ce stage et à quoi vous attendez-vous?
ML: que faire si le dataset utilisé pour entrainé un modèle de classification n'est pas "balanced"?
J'ai passé un test hacckerrank en premier lieu qui trés technique en machine learning, deep learning, computer vision, NLP, brainteasears, mathematiques, et puis un entretien en visio avec un data scientist
I applied through a staffing agency. I interviewed at BNP Paribas (Paris) in Mar 2025
Interview
The process was straightforward and well organized. First, I had a phone screening/interview, followed by an assessment to complete at home. The final stage was an interview with the hiring manager. Overall, the experience was professional and the communication was clear throughout the process.
Interview questions [1]
Question 1
Walk me through your CV / background
Why do you want to work at BNP Paribas?
Why this internship / this team specifically?
Basic technical or case-based questions (depending on the role)
Situational questions (teamwork, problem solving, handling deadlines)