
BearingPoint 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 BearingPoint.
Data Science Manager
I went through two interviews. The first was with HR and the second with a Data Scientist. But the process could be better, waiting times between interviews are really long and follow-up isn't great. It's not the best experience for candidates.
- Could you present yourself?
- Tell me about your background.
- Can you discuss your data projects?
Data Scientist Consultant
I had interviews for the role of Data Science Senior Consultant in Milan. It started with a quick phone call. Then, the first official step was a call with HR/talent acquisition where they asked me different questions about myself, my past projects, and situations where I encountered difficulties. They also asked a question in English. The second step was an in-person interview that required me to take a day off work. This interview was with the head of the department and was supposed to be technical, according to HR, but it was very similar to the HR call. Afterward, HR contacted me for feedback and mentioned that they would schedule the final technical interview within a few days to a week. However, it's been over 3 weeks, and they haven't contacted me since. Very unprofessional!!
- Describe a challenging work situation you handled, including how you managed it, even if it extended beyond work hours.
Data Scientist Intern
First thing was the online application, super easy, just needed to upload my CV and cover letter as a PDF. Then, a few weeks later, I had a standard phone interview. At the end of that call, they set up a face-to-face interview with the manager and a team member. It involved a basic presentation, we chatted about my past work, and then they hit me with some technical questions. The whole process wrapped up with an HR interview.
- Can you explain the workings of the K-means algorithm?
BearingPoint Data Scientist Interview Questions
Quoted word for word from BearingPoint interview reports.
“Could you explain what a decorator is in Python?”
Read reports →“Can you explain the workings of the K-means algorithm?”
Read reports →“What do you do in your free time?”
Read reports →“Could you present yourself?”
Read reports →“Can you discuss your data projects?”
Read report →“What interests you about our company?”
Read report →“Describe a challenging work situation you handled, including how you managed it, even if it extended beyond work hours.”
Read report →“Tell me about your background.”
Read report →Formats, difficulty and experience
Across all 6 BearingPoint interview reports.