Three stages: screening interview, take home technical exercise, technical interview. Technical exercise involved producing a short insights presentation on predictive analytics on a generic dataset. Technical interview discussed the exercise and general skills.
I applied through a recruiter. The process took 4 weeks. I interviewed at Drax
Interview
Following a very good take home challenge ( not too much work and nice easter eggs in the data set), had an initial interview with three staff members. General data science questions on things like describe how a random forest model works, what metric would you choose for problem x, talk about a recent project you made.
Very thorough and friendly, really happy to talk through ethical concerns too.
Interview questions [1]
Question 1
How does a gradient boost algorithm work? What's your favourite model?
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I applied through a recruiter. The process took 3 months. I interviewed at Drax (London, England) in Jun 2020
Interview
Very disappointed with the interview process.
After investing time to prepare for the interview, take the assessment and attend the video interview, I haven't received a feedback yet. (I was interviewed in July).
Tried following up with their HR contact as well as Careers team, no replies.
Stage 1: Timed data science assessment that had to be completed and sent back within two hours.
Stage 2: One hour video interview with two people from the team
Thanks for taking the time to post your review of the interview process. While we are disappointed that your experience with us was not a positive one, we really value the feedback. We remain committed to providing our candidates with a positive experience and are always looking at ways to improve. If you would like to discuss your feedback directly with us, please feel free to reach out to us via careers@drax.com. Joe from the Drax Recruitment Team
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