CACIB Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 6 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at CACIB.
CACIB
Data Scientist
Mid Average Neutral experience Decline offer 2 rounds
Interview process
Technical screen Presentation
Interview formats
Technical Coding Presentation
The first interview had 20 machine learning questions. The second was a 2-hour live coding session where I had to model a given dataset and then present the results.
Confirmed questions2 questions
- How do you detect underfitting or overfitting?
- How can you extract text from an image?
CACIB
Data Scientist Intern
Intern Average Positive experience Accept offer 1 round
Interview process
Technical screen
Interview formats
Technical Coding
they first started asking ML questions then : - academic projects related to AI questions in order to evaluate your skills - global programing questions to determine whether you're efficient or not - a Machine Learning assessment by the next interview
Confirmed questions3 questions
- Could you explain the mechanics of a random forest algorithm?
- Tell me about your academic projects in AI.
- How would you approach global programming challenges to ensure efficiency?
CACIB
Data Scientist
Entry Average Positive experience Accept offer 2 rounds
Interview process
Recruiter call Technical screen Onsite
Interview formats
Behavioral Technical
2 interviews in total, 1st interview was a fit interview, 2nd interview was with the department head, my future manager, and a project lead. It was a classic interview covering motivations, past experiences related to the job, career prospects after the apprenticeship, why I chose this career, this industry, and this company.
Confirmed questions3 questions
- Why investment banking?
- Can you share an example of a time you demonstrated autonomy?
- Tell me about an experience that shows you can lead a project.
CACIB Data Scientist Interview Questions
Quoted word for word from CACIB interview reports.
“How can you extract text from an image?”
Read reports →“How do you detect underfitting or overfitting?”
Read reports →“Could you explain the mechanics of a random forest algorithm?”
Read reports →“Could you explain what a random forest is?”
Read reports →“Why investment banking?”
Read report →“Can you list some classification algorithms you are familiar with?”
Read report →“How would you approach global programming challenges to ensure efficiency?”
Read report →“Tell me about your academic projects in AI.”
Read report →“Can you share an example of a time you demonstrated autonomy?”
Read report →Formats, difficulty and experience
Across all 6 CACIB interview reports.