BNP Paribas Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 71 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at BNP Paribas.
BNP Paribas
Data Scientist Intern
Intern Average Positive experience Accept offer 3 rounds
Interview process
Technical screen Onsite
Interview formats
Coding Technical Behavioral
Had a Hackerrank assessment with 3 problems, followed by two interviews. The first was a technical interview, about 1 hour or more, focused on ML and DL knowledge, and the Hackerrank problem. The second interview was more discussion and soft skills oriented.
Confirmed questions1 question
- How would you approach fraud detection using ML on an unbalanced dataset?
BNP Paribas
Data Scientist
Mid Average Neutral experience No offer 2 rounds
Interview process
Technical screen Onsite
Interview formats
Technical Behavioral
The interview process was thorough but manageable, covering a good range of technical topics like machine learning, deep learning, NLP, and computer vision. I was asked about ML algorithms, neural network designs, NLP models (like BERT and Word2Vec), and practical uses such as image recognition. There were also questions about software engineering practices, including unit tests, CI/CD, and using Git in agile development. Finally, they asked situational questions that required the STAR method to detail the situation, task, action, and result, showing my problem-solving skills and teamwork abilities.
Confirmed questions1 question
- Can you explain what boosting and bagging are?
BNP Paribas
Data Scientist
Entry Difficult Neutral experience No offer 1 round
Interview process
Technical screen
Interview formats
Technical Coding
The process was very direct. We skipped any introductions and went straight into reviewing my CV and then a coding exercise. I had to share my screen while coding. There were a lot of technical questions, so it's probably a good idea to prepare beforehand. The topics covered a lot of machine learning and deep learning.
Confirmed questions1 question
- Can you explain the KNN algorithm in your own words?
BNP Paribas Data Scientist Interview Questions
Quoted word for word from BNP Paribas interview reports.
“On average, how many coin tosses does it take to get two heads in a row?”
Read reports →“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?”
Read reports →“Is it okay to use cross validation for time series data?”
Read reports →“What is the conditional expectation of X + Y given Y, assuming X and Y are independent variables?”
Read reports →“Could you explain how to implement a neural network for machine translation?”
Read report →“Could you walk me through the fundamentals of the KNN algorithm?”
Read report →“Can you explain the KNN algorithm in your own words?”
Read report →“Which school did you get your Master 2 from?”
Read report →“How would you approach fraud detection using ML on an unbalanced dataset?”
Read report →Formats, difficulty and experience
Across all 71 BNP Paribas interview reports.