Describe a challenging project you worked on and how you overcame obstacles

Situation: For my internship portfolio, I decided to build a real-time chat application using technologies I'd never used before — Node.js, Socket.io, and MongoDB. Task: I had 3 weeks to complete it while managing coursework. Action: I broke the project into milestones, researched documentation, and reached out to a senior student for guidance. Result: I completed the application successfully, which helped me land my internship.

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Elsevier AI & Data Engineering Intern

Q: Merge Two Sorted Lists - Merge two sorted linked lists into one sorted list

Practice question for Elsevier AI & Data Engineering Intern interview focusing on Linked Lists.

Q: Longest Substring Without Repeating Characters - Find the length of the longest substring without repeating characters

Practice question for Elsevier AI & Data Engineering Intern interview focusing on Sliding Window.

Q: Design Web Crawler - Design a distributed web crawling system

Practice question for Elsevier AI & Data Engineering Intern interview focusing on System Design.

Q: Give an example of when you had to make a difficult trade-off decision

Situation: While building a course registration app, we had one week left and two major features incomplete. Task: Decide which feature to prioritize — advanced search or email notifications. Action: I analyzed user feedback: 80% wanted notifications, 30% wanted search. I proposed basic search + full notifications. Result: User satisfaction scores were 4.5/5. I learned to make data-driven decisions focused on user needs.

Remote·166 interview reviews·Medium difficulty

54% positive66% applied onlinePosted 0d [Apply here](https://relx.wd3.myworkdayjobs.com/ElsevierJobs/job/Pennsylvania/AI---Data-Engineering-Intern_R109956?utm_source=Simplify&ref=Simplify)

Difficulty

2.5/ 5

Experience

Positive54%

Neutral36%

Negative10%

Interview Source

Applied online66%

Recruiter20%

Referral15%

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AI & Data Engineering Intern Interview Reviews

166

AI & Data Engineering Intern Candidate

Oct 15, 2026 · Remote

✗ No offerPositiveAverage

Straightforward — just 2 medium leetcode-tagged problems in 45 minutes. Very fast paced though so be aware of time. A few follow-up questions for the interviewer at the end. No behavioral questions.

Interview QuestionEasy

“Merge Two Sorted Lists - Merge two sorted linked lists into one sorted list”

Linked ListsPractice this →

AI & Data Engineering Intern Candidate

Mar 2, 2026 · Menlo Park, CA

✗ No offerNeutralAverage

Interview QuestionMedium

“Longest Substring Without Repeating Characters - Find the length of the longest substring without repeating characters”

Sliding WindowPractice this →

AI & Data Engineering Intern Candidate

Sep 17, 2026 · Austin, TX

✗ No offerNeutralAverage

The process was pretty straightforward. It started with an online assessment, followed by a phone screen, and concluded with a final interview round that had two LeetCode medium difficulty problems.

Interview QuestionMedium

“Give an example of when you had to make a difficult trade-off decision”

Decision MakingBehavioralPractice this →

AI & Data Engineering Intern Candidate

Dec 21, 2026 · Menlo Park, CA

✗ No offerPositiveEasy

Had a recruiter screen first, then a technical round focused on system design and coding. The interviewer was very professional and walked through the problem step by step. Good overall experience.

Interview QuestionHard

“Design Web Crawler - Design a distributed web crawling system”

System DesignPractice this →

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About This Role

Focus Areas

Software DevelopmentSystem DesignBehavioral

Key Skills

PythonSQLData AnalysisStatistics

Details

CompanyElsevier

LocationRemote

Posted0d [Apply here](https://relx.wd3.myworkdayjobs.com/ElsevierJobs/job/Pennsylvania/AI---Data-Engineering-Intern_R109956?utm_source=Simplify&ref=Simplify)

TierEnterprise

Frequently Asked Questions

How hard is it to get hired as a AI & Data Engineering Intern at Elsevier?

The interview difficulty is rated 2.5/5 by candidates. 54% report a positive experience. Focus on Software Development, System Design, Behavioral to improve your chances.

How long does the Elsevier AI & Data Engineering Intern hiring process take?

The process typically takes 2–6 weeks from application to final decision, depending on the hiring cycle and team availability.

What is the interview process like?

Most candidates go through a recruiter screen, followed by technical coding rounds, and a final interview loop. 66% of candidates applied online.

What questions are asked in a Elsevier AI & Data Engineering Intern interview?

Common topics include data structures & algorithms (arrays, trees, graphs), system design, and behavioral questions using the STAR method. Practice with our AI mock interviewer to prepare.

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