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      Buscas relacionadas: Avaliações da empresa Nationwide | Vagas da empresa Nationwide | Salários da empresa Nationwide | Benefícios da empresa Nationwide
      Entrevistas da empresa NationwideEntrevistas do cargo de Data Science da empresa NationwideEntrevista da empresa Nationwide


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      Entrevista para Data Science

      30 de nov. de 2014
      Funcionário(a) sigiloso(a)
      Oferta aceita
      Experiência positiva
      Entrevista fácil

      Candidatura

      Candidatei-me por meio de uma faculdade ou universidade. O processo levou 4 semanas. Fui entrevistado pela Nationwide em nov. de 2013

      Entrevista

      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.

      Perguntas de entrevista [1]

      Pergunta 1

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

      Outras avaliações de entrevista de vagas de Data Science da empresa Nationwide

      Entrevista para Data Scientist

      11 de fev. de 2023
      Candidato(a) sigiloso(a) à entrevista
      Nenhuma oferta
      Experiência neutra
      Entrevista com nível médio de dificuldade

      Candidatura

      Fiz uma entrevista na empresa Nationwide.

      Entrevista

      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

      Entrevista para Data Scientist

      5 de nov. de 2021
      Funcionário(a) sigiloso(a)
      Oferta aceita
      Experiência positiva
      Entrevista com nível médio de dificuldade

      Candidatura

      Candidatei-me por meio de uma faculdade ou universidade. Fiz uma entrevista na empresa Nationwide.

      Entrevista

      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

      Perguntas de entrevista [1]

      Pergunta 1

      Do you have experiences with emergent schedule change and how to handle that?
      Responder à pergunta
      2

      Entrevista para Data Scientist

      2 de out. de 2020
      Candidato(a) sigiloso(a) à entrevista
      Nenhuma oferta
      Experiência negativa
      Entrevista com nível médio de dificuldade

      Candidatura

      Candidatei-me online. Fiz uma entrevista na empresa Nationwide.

      Entrevista

      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.

      Perguntas de entrevista [1]

      Pergunta 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.
      Responder à pergunta

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