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      Graduate Machine Learning Analyst Interview

      14 June 2018
      Anonymous employee
      London, England

      Other Graduate Machine Learning Analyst interview reviews for Bally's Interactive

      Graduate Machine Learning Analyst Interview

      19 Aug 2018
      Anonymous interview candidate
      London, England
      No offer
      Accepted offer
      Positive experience
      Average interview

      Application

      I applied online. The process took 4 weeks. I interviewed at Bally's Interactive (London, England) in May 2018

      Interview

      There were 3 interviews. First, I had a nice phone interview with a senior data scientist. He was very friendly and also we talked about some technical aspects of my experiences but more or less questions were along with my CV. Second, I had a skype interview with two interviewers. There were some probability, business, and machine learning related questions. It was also nice/friendly atmosphere. Then I was invited to visit the office in London to have the final interview. It was similar to the second interview. There were some probability and machine learning questions. Then on the same day, HR called me that I got the offer.

      Interview questions [1]

      Question 1

      How does (machine learning algorithm names) work?
      Answer question
      Positive experience
      Average interview

      Application

      I applied online. The process took 2 weeks. I interviewed at Bally's Interactive (London, England) in Aug 2018

      Interview

      1. Phone screening with a Data Scientist (30 minutes) 2. Personal interview at London office with the Head of Machine Learning and a Data Scientist (1,5 hours) Both interviews were open and stress-free.

      Interview questions [4]

      Question 1

      How genetic algorithms work?
      Answer question

      Question 2

      Can you walk us through your resume?
      Answer question

      Question 3

      Probability questions (dice, poker, roulette)
      Answer question

      Question 4

      What features would you use to predict the lifetime values of a customer?
      Answer question