
Elsevier 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
Candidate interview experiences
First-hand accounts from people who interviewed at Elsevier.
Data Scientist
Had an HR call for 10 mins. Then, about two weeks later, the first technical interview happened, lasting an hour. They asked specific questions about my previous projects, focusing on NLP. The interview was entirely about NLP and how transformers work. The next interview was an hour and 15 mins. It was almost all about RAG and GenAI, covering every possible step in depth. The HR and managers were nice and helpful. Got the offer three weeks after the last interview.
- Could you explain how transformers function, including Multi-Head attention and positional encoding?
- Walk me through the various steps involved in a RAG and GenAI process.
Data Science Intern
I had two interviews. The first one was an introduction to the company and about myself. The second one was more about my NLP skills for the project I applied to, focusing on my past work and specific NLP questions.
- What's your approach to this project?
- Could you provide the mathematical formula for the algorithm you mentioned?
Data Scientist
The whole process took about 3 weeks. I had an initial interview with the hiring manager where she asked about my background and then said she'd be moving me forward. The next interview was with a team member based in Amsterdam, which required me to use PTO from my current job to attend in the morning. This second interview included more technical questions. By the following Monday, I got an email saying they were proceeding with other candidates. I asked for feedback because I had invested a lot of time and effort into these interviews, but I never received a reply to my email.
- Could you describe the types of "big data" you've encountered in your experience?
- How would you approach analyzing the extensive data that Elsevier possesses?
Elsevier Data Scientist Interview Questions
Quoted word for word from Elsevier interview reports.
“Could you explain how transformers function, including Multi-Head attention and positional encoding?”
Read reports →“Explain methods for dealing with imbalanced classes.”
Read reports →“Could you provide the mathematical formula for the algorithm you mentioned?”
Read reports →“How would you approach analyzing the extensive data that Elsevier possesses?”
Read reports →“Walk me through the various steps involved in a RAG and GenAI process.”
Read report →“Could you describe the types of "big data" you've encountered in your experience?”
Read report →“Regarding a project you completed using a specific technology, can you provide all the details about it?”
Read report →“What's your approach to this project?”
Read report →“Can you provide in-depth details about projects you have completed?”
Read report →Formats, difficulty and experience
Across all 5 Elsevier interview reports.