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      Data Science Interview

      30 Nov 2014
      Anonymous employee
      Accepted offer
      Positive experience
      Easy interview

      Application

      I applied through university. The process took 4 weeks. I interviewed at Nationwide in Nov 2013

      Interview

      recerived an e-mail for onsite interview. Met with about 3 people who just chatted about my resume and escorted me out. got an offer in a weeks time. After I got the interview, the HR people contacted me to talk about the other benefits and compensation and terms and conditions. I was asked to pass a drug test.

      Interview questions [1]

      Question 1

      What is the guarantee that you will leave the current job?
      2 Answers

      Other Data Science interview reviews for Nationwide

      Data Scientist Interview

      11 Feb 2023
      Anonymous interview candidate
      No offer
      Neutral experience
      Average interview

      Application

      I interviewed at Nationwide

      Interview

      first sent an email for interview appointment with some questions like expected salary, can you relocate? In the phone interview, ask some qustions like tell me about yourself, why you are applying this job.
      1

      Data Scientist Interview

      5 Nov 2021
      Anonymous employee
      Accepted offer
      Positive experience
      Average interview

      Application

      I applied through university. I interviewed at Nationwide

      Interview

      3 rounds in total: 1: BQ+simple technical (30 mins) 2: take home data challenge, write report(one week) 3: if report passes, present 20 mins to review panel, after this they will ask you follow-up questions

      Interview questions [1]

      Question 1

      Do you have experiences with emergent schedule change and how to handle that?
      Answer question
      2

      Data Scientist Interview

      2 Oct 2020
      Anonymous interview candidate
      No offer
      Negative experience
      Average interview

      Application

      I applied online. I interviewed at Nationwide

      Interview

      The interview process was very slow. They took around 2 months to make a decision. At first they provide a modeling challenge which you have to solve in a week. You are asked make model and write up a documentation of what was done in detail. Then there is a model review interview(panel of 3-5 people) just like it happens in a office with a MRO. Ideally you would think that they would have read your documentation & understood your approach when they say you pass but I got the feeling they never read my approach. They just saw the results & since I had great results, they passed me in the initial submission. I made a nice supplementary presentation to show why my model was right but they kept asking questions which were already explain in the submission. (It was pretty clear they did not check the documentation). So if you have a model review next time with them, start with the submission as they would not have checked it mostly. Also, the dataset they gave is simulated. So I found the best algorithm with great results, That kind of hurt their ego also. Their ideal candidate is someone who will struggle with the data, do lots of feature engineering, spend lot of time & apply lot of science and complex algorithms. When I solved their simulated data with a very simple but mathematically backed algorithm, they kind of had the feeling that I got lucky. But as per me I studied the data, did exploratory analysis & found the best algorithm that fits the model (roc 0.96 classification with low FP and low FN in a skewed dataset). If they wanted me to behave as I would do with realtime data, they should have provided realtime data. Since they could not accept that, they stopped communicating & sent a reject almost after a month through the automated system.

      Interview questions [1]

      Question 1

      They will interlace standard machine learning & data science question as you discuss about the model. Multicolinearity, random forest, logistic regression were some that I can remember.
      Answer question