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      Entrevistas en ManulifeEntrevistas para el cargo de Senior Data Scientist GENAI en ManulifeEntrevista en Manulife


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      Entrevista para Senior Data Scientist GENAI

      26 de may de 2026
      Candidato de entrevista anónimo
      Toronto, ON

      Otras evaluaciones sobre las entrevistas para el cargo de Senior Data Scientist GENAI en Manulife

      Entrevista para Senior Data Scientist GENAI

      15 de mar de 2026
      Candidato de entrevista anónimo
      Toronto, ON
      Sin ofertas
      Sin ofertas
      Experiencia negativa
      Entrevista fácil

      Solicitud

      Me postulé en línea. Acudí a una entrevista en Manulife (Toronto, ON) en may 2026

      Entrevista

      The interview process is a bit of a joke to be honest. After initial recruiter conversation I was told that next round will be a case presentation which will be sent to me 48 hours in advance. Initially I thought the case might be something simple where it will take 2-3 hours of my time. When it arrived I was blown away by the requirements. They wanted me to develop end to end production level solution for one of the use cases which is just too relevant for their day to day. The requirements included working code whcih should generate live logs during the call. The requirements included in the requirements document itself mentioned that the case should take 8-10 hrs. Seriously are they expecting candidates to dedicate 10 hrs of their time (trust me it will take more if you are doing it diligently) - almost full 2 days worth of work just before the interview? The interviewer himself (the newly promoted director of data science) was rude and seemed disinterested during the call. I dont know whats wrong with the company but the least they could have done is be polite and actually look like you want to be there when a candidate has poured so much blood sweat and tears creating the whole project for you in 2 days. Honestly it reflects more about their culture than anything else. I wish luck to anybody who got through the process since I dont want to work for the company who is so unprofessional and just want the candidates to work for free for more than 12 hrs.

      Preguntas de entrevista [1]

      Pregunta 1

      Designing a rag pipeline for case
      Responder pregunta
      Experiencia negativa
      Entrevista fácil

      Solicitud

      Me postulé en línea. Acudí a una entrevista en Manulife (Toronto, ON) en ene 2026

      Entrevista

      They will send you a take-home assignment 2 days before the interview, with no prior notification, and expect you to have it completed by the interview. Complete disregard for your time and plans. After the interview, they will ghost you.

      Preguntas de entrevista [1]

      Pregunta 1

      Basic questions about implementation and overall RAG.
      Responder pregunta

      Entrevista para Senior Data Scientist GENAI

      6 de abr de 2025
      Candidato de entrevista anónimo
      Sin ofertas
      Experiencia positiva
      Entrevista promedio

      Solicitud

      Me postulé en línea. El proceso tomó 4 semanas. Acudí a una entrevista en Manulife en mar 2025

      Entrevista

      Screening (30 min, virtual): With HR rep. Asked about experience, why I'm looking for a new role, salary expectations. Asked me to walk through one of my Gen AI projects. Asked me what I would if a Gen AI solution broke down. Left 10 min at the end for questions. Technical Round 1 (60 min, virtual): With DS team. 15 min LeetCode Easy (using an IDE of your choice with AI assist turned off), 30 min Gen AI experience based on resume, 10 min foundational stats and machine learning questions, 5 min for questions. Technical Round 2 (60 min, in person): With VP and Senior DS. Comprised of technical and behaviour-based questions.

      Preguntas de entrevista [3]

      Pregunta 1

      LeetCode "704. Binary Search". Given an array of integers nums which is sorted in ascending order, and an integer target, write a function to search target in nums. If target exists, then return its index. Otherwise, return -1. You must write an algorithm with O(log n) runtime complexity.
      1 respuesta

      Pregunta 2

      RAG: - What model did you use? - How would you process different kinds of structured data? - How would you work with images and text? - What vector database did you use? - How many GPUs? - What is the architecture of an LLM? Explain different types of transformers and their use cases. When would you want to fine-tune an LLM? What ingredients are needed to get a good result?
      Responder pregunta

      Pregunta 3

      What is bias/variance tradeoff? What are some regularization techniques? Explain each one. What are some techniques to assess goodness of fit?
      Responder pregunta