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      LexisNexis Legal & Professional

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      Buscas relacionadas: Avaliações da empresa LexisNexis Legal & Professional | Vagas da empresa LexisNexis Legal & Professional | Salários da empresa LexisNexis Legal & Professional | Benefícios da empresa LexisNexis Legal & Professional
      Entrevistas da empresa LexisNexis Legal & ProfessionalEntrevistas do cargo de Data Scientist da empresa LexisNexis Legal & ProfessionalEntrevista da empresa LexisNexis Legal & Professional


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      Entrevista para Data Scientist

      20 de mar. de 2025
      Candidato(a) sigiloso(a) à entrevista
      Sandton
      Nenhuma oferta
      Experiência positiva
      Entrevista difícil

      Candidatura

      Candidatei-me online. Fui entrevistado pela LexisNexis Legal & Professional (Sandton) em set. de 2024

      Entrevista

      Nkululeko's interview process consists of three stages: Technical Questions Screening Call – This is the first stage, where Nkululeko will be asked technical questions related to data science, machine learning, and possibly SQL or Python. The goal is to assess his theoretical understanding and problem-solving approach. Coding Assessment – The second stage involves a hands-on coding test. It may include algorithmic challenges, data manipulation tasks, or SQL queries to evaluate Nkululeko’s coding proficiency and ability to solve real-world problems efficiently.

      Perguntas de entrevista [1]

      Pergunta 1

      Differentiate between Supervised and Unsupervised Learning
      Responder à pergunta

      Outras avaliações de entrevista de vagas de Data Scientist da empresa LexisNexis Legal & Professional

      Entrevista para Data Scientist

      16 de jul. de 2025
      Candidato(a) sigiloso(a) à entrevista
      Oferta recusada
      Experiência negativa
      Entrevista com nível médio de dificuldade

      Candidatura

      Candidatei-me por meio de recrutador(a). Fui entrevistado pela LexisNexis Legal & Professional em jun. de 2025

      Entrevista

      Technical screen on coder pad (broken english, very lazily put together), technical deep dive on your projects, then team interview. Most of the team stayed off camera and on mute. Ghosted for weeks then came back with an offer out of range - deeply unserious company, huge waste of time.

      Perguntas de entrevista [1]

      Pergunta 1

      Tell me about a project you've worked on
      Responder à pergunta
      2

      Entrevista para Data Scientist

      6 de fev. de 2024
      Funcionário(a) sigiloso(a)
      Oferta aceita
      Experiência positiva
      Entrevista com nível médio de dificuldade

      Candidatura

      Candidatei-me online. O processo levou 3 semanas. Fui entrevistado pela LexisNexis Legal & Professional em jan. de 2024

      Entrevista

      Recruiter, phone screen (2 people), final round (manager + others). Overall this is really simple. Must know NLP and ML well. LLM/Chatgpt experience is very useful, but not required. Interview will include Amazon principles (behavior style questions) focusing on experience and relevant knowledge. Candidates must be able to both speak clearly at a high level and dive into details. Nearly all the DS have a PhD or MS. Questions are easy on the surface, but the interviewers are looking for specificity, reasoning, explanations, and most important brevity. You need to be sharp and quick. The interviewers are 100% managers and tech leads. They are surprisingly sharp but easygoing if that makes sense. It was a great experience, but the process is slow. Since the initial questions were open ended and seemingly easy, it was difficult to guess what followups they gave. Each layer of followups increased the expected difficulty. That's how they assessed my level. I'm already sr level, so this was very typical, expected, and easy at this point. I strongly recommend studying and practicing your strengths.

      Perguntas de entrevista [1]

      Pergunta 1

      Topics include experience deep dives, behavior questions (Amazon format), technical deep dives. I was allowed to choose my own topic and explain it in depth from abstract to detail. Easy at first. The followup questions were more difficult and specific. The followup-followups flushed out how little I knew about some aspects of my topic.
      Responder à pergunta
      1

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