Skip to contentSkip to footer
  • Community
  • Jobs
  • Companies
  • Salaries
  • For employers
      Notifications

      Loading...

      Elevate your career

      Discover your earning potential, land dream jobs, and share work-life insights anonymously.

      employer cover photo
      employer logo
      employer logo

      C3 AI

      Engaged employer

      About
      Reviews
      Pay and benefits
      Jobs
      Interviews
      Interviews
      Related searches: C3 AI reviews | C3 AI jobs | C3 AI salaries | C3 AI benefits | C3 AI conversations
      C3 AI interviewsC3 AI Data Scientist interviewsC3 AI interview


      Glassdoor

      • About / Press
      • Awards
      • Blog
      • Research
      • Contact Us
      • Guides

      Employers

      • Free Employer Account
      • Employer Centre
      • Employers Blog

      Information

      • Help
      • Guidelines
      • Terms of Use
      • Privacy and Ad Choices
      • Do Not Sell Or Share My Information
      • Cookie Consent Tool
      • Security

      Work With Us

      • Advertisers
      • Careers
      Download the App

      • Browse by:
      • Companies
      • Jobs
      • Locations
      • Communities
      • Recent posts

      Copyright © 2008-2026. Glassdoor LLC. "Glassdoor," "Worklife Pro," "Bowls" and logo are proprietary trademarks of Glassdoor LLC.

      Company Bowl sample

      Want the inside scoop on your own company?

      Check out your Company Bowl for anonymous work chats.

      Bowls

      Get actionable career advice tailored to you by joining more bowls.

      Followed companies

      Stay ahead in opportunities and insider tips by following your dream companies.

      Job searches

      Get personalised job recommendations and updates by starting your searches.

      Data Scientist Interview

      19 Dec 2025
      Anonymous interview candidate
      New York, NY
      No offer
      Positive experience
      Average interview

      Application

      I interviewed at C3 AI (New York, NY)

      Interview

      Resume screening -> technical assessment -> 4 rounds of interviews: - personal projects, simple questions not there to trick you - situational questions: "what would you do if..." - machine learning: starts from the very basics (stats and probabilities) to more up to date models - coding: medium leet code

      Interview questions [1]

      Question 1

      What's the particularity of Resnet ?
      Answer question

      Other Data Scientist interview reviews for C3 AI

      Data Scientist Interview

      20 Jan 2026
      Anonymous employee
      Singapore
      Accepted offer
      Positive experience
      Average interview

      Application

      I applied online. I interviewed at C3 AI (Singapore)

      Interview

      Hackerrank --> three tech interviews (proceed to the next one if you pass the current one) each round is 1 hour long --> hiring manager interview (1 hour)--> VP interview.

      Interview questions [1]

      Question 1

      tech interviews: 1) (1 hour) traditional ML based case study, 2) (1 hour) ML concept deep dive, and 3) (1 hour) coding (leet-code medium)
      Answer question

      Data Scientist Interview

      13 Oct 2025
      Anonymous interview candidate
      London, England
      No offer
      Positive experience
      Difficult interview

      Application

      I applied online. The process took 3 weeks. I interviewed at C3 AI (London, England) in Oct 2025

      Interview

      I applied directly after seeing a job advert on LinkedIn. There are MCQ and coding assessment on Hackerank, followed by a screening interview. It all went well and got invited to the technical day. To prepare for the technical interview, I went through all materials and questions shared by others on this website and once I was half way, I noticed that the questions tend to be similar, except the pairwise coding. I recommend you go through questions here to be better prepared for the technical day. The interview was generally okay and the team was nice. Started off with Case Study (30 mins); followed by ML questions (30 mins); and finally coding (1 hour). There is barely time in-between to switch so expect to transition very quickly. For the case study, think out loud it helped me to figure the actual problem, as they only share the problem and you figure the rest out. The coding was fair, I had done a couple of Leetcode but they started off with Linear regression etc, kinda caught me off guard and wasted 35 mins on it. Though the program ran, the interviewer said there isn't enough time to complete second question, and we shared our coding experiences and clarity on a few questions. I am pretty confident in stats and ML knowledge but the issue could have been coding; so make sure you are up to speed with anything that can be thrown at you. Two days later I received a rejection email. No reason after having spend so much time is a bit disrespectful but we move on.

      Interview questions [1]

      Question 1

      Case study: Waste reduction in chain stores. They simply stated that and I described it as a demand forecasting problem that can be solved with Linear Regression. Besides clarification questions, It was fine and they took it. MLQ 1. Difference between Supervised and Unsupervised Learning, and give examples 2. Difference between bagging and boosting; 3. Bias and variance, and explain in the context of Bagging/boosting 4. Performance metrics; what does AUC mean, interpret AUC of 50% 5. Gradient descent 6. Overfitting and Underfitting and how to overcome them in Decision Trees Coding: Implement linear regression, numpy, and plotting importance scores
      Answer question
      1

      Top companies for "Compensation and Benefits" near you

      avatar
      Capgemini
      3.7★Compensation and benefits
      avatar
      SAP
      3.9★Compensation and benefits
      avatar
      Cisco
      4.0★Compensation and benefits
      avatar
      Dynatrace
      3.9★Compensation and benefits