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BenevolentAI Data Scientist Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 5 interview experiences · FREE TO READ

4 Rounds average
Average Typical difficulty
100% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at BenevolentAI.

Showing 3 of 5
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BenevolentAI

Data Scientist

Research · more than a year ago

Mid Average Positive experience Decline offer 4 rounds
Interview process
Recruiter call Phone screen Presentation Technical screen Onsite
Interview formats
Behavioral Technical Coding Presentation

First, a chat with the Recruiter to get acquainted. They were very nice. Then, a call with the Team Lead to discuss my experience and technical skills, giving me a chance to highlight my past work. Finally, the main interview round, which included four parts: A. I presented my prior research to the whole team. Preparing the presentation took time, but the team was engaged and interested. B. A conversation with members from the drug discovery/product side about BenevolentAI's objectives. It was a good opportunity to learn more about the company. C. An interview focused on bioinformatics, covering topics like ontologies, databases, and biomedical data types. D. A coding interview.

Confirmed questions2 questions
  • Questions about general Biology and drug discovery, based on your background.
  • Hackerrank-Style coding questions.
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BenevolentAI

Data Scientist

Analytics · more than a year ago

Senior Average Positive experience Accept offer 4 rounds
Interview process
Recruiter call Phone screen Technical screen Onsite Presentation Panel Background check Offer
Interview formats
Behavioral Technical Presentation Group

So first up was this 20-30 min chat online with a recruiter, pretty chill, talking about the job, perks, my background, and why I was into it. That same day, they set up a 45 min interview with the Head of the Group and the Lead Cheminformatics Data Scientist I'd be working with. That second chat happened online about a week later. We went over my experience and skills again, and they gave me more deets on what this specific role needs. It was super friendly, we even went over by 15 min! Then, same day, the recruiter hit me up, wanting to move to the next stage: a big 3 hour online session with a bunch of teams and collaborators. This was like 10 weeks later, still online coz of Covid. It had a few bits: I had to give a 30 min presentation, then met with different teams in smaller groups for mini tech interviews on stuff like cheminformatics, medicinal chemistry, and drug design. Honestly, meeting so many people back-to-back and answering questions was a bit much, but everyone was nice, so it was way better than I expected. The third interview was in the morning, and that afternoon, the recruiter called to set up a fourth online meeting for the next day, just 20 min, to give me feedback. And surprise, that's when I got the offer! Overall, super fast, efficient, professional, and respectful.

Confirmed questions4 questions
  • Why are you interested in working at BenevolentAI?
  • Which tools are you accustomed to using?
  • Do you find that some endpoints are more challenging to model than others?
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BenevolentAI

Data Scientist

Analytics

Entry Average Positive experience Accept offer 3 rounds
Interview process
Recruiter call Technical screen Onsite
Interview formats
Technical Coding

First, there was a phone call with HR. Then, a technical coding interview happened. After that, an "on-site" followed, which was actually multiple interviews back to back, all done remotely. The whole thing was super efficient and they let me know about the next steps quickly after each stage.

Confirmed questions1 question
  • What's your answer to this basic Python coding question?

BenevolentAI Data Scientist Interview Questions

Quoted word for word from BenevolentAI interview reports.

How would you approach modeling a large set of unlabeled data (10K) using a small set of labeled data (100)?

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What's your approach to finding all prime numbers below a specific number?

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Do you find that some endpoints are more challenging to model than others?

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Can you tell me about your technical background, including ML, cheminformatics, drug discovery, and programming?

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Formats, difficulty and experience

Across all 5 BenevolentAI interview reports.

Interview formats

Technical 31.2%
Behavioral 25%
Presentation 18.8%
Coding 18.8%
Group 6.2%

Interview difficulty

Easy 0%
Average 100%
Difficult 0%

Candidate experience

Positive 100%