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      Manulife

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      Ricerche correlate: Recensioni su Manulife | Offerte di lavoro di Manulife | Stipendi di Manulife | Benefit di Manulife
      Colloqui di ManulifeColloqui per Senior Data Scientist GENAI presso ManulifeColloquio di Manulife


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      Colloquio per Senior Data Scientist GENAI

      26 mag 2026
      Candidato anonimo a colloquio
      Toronto, ON
      Nessuna offerta
      Esperienza negativa
      Colloquio facile

      Candidatura

      Ho presentato la mia candidatura online. Ho sostenuto un colloquio presso Manulife (Toronto, ON) nel mese di mag 2026

      Colloquio

      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.

      Domande di colloquio [1]

      Domanda 1

      Designing a rag pipeline for case
      Rispondi alla domanda

      Altre recensioni di colloqui per Senior Data Scientist GENAI presso Manulife

      Colloquio per Senior Data Scientist GENAI

      15 mar 2026
      Candidato anonimo a colloquio
      Toronto, ON
      Nessuna offerta
      Esperienza negativa
      Colloquio facile

      Candidatura

      Ho presentato la mia candidatura online. Ho sostenuto un colloquio presso Manulife (Toronto, ON) nel mese di gen 2026

      Colloquio

      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.

      Domande di colloquio [1]

      Domanda 1

      Basic questions about implementation and overall RAG.
      Rispondi alla domanda

      Colloquio per Senior Data Scientist GENAI

      6 apr 2025
      Candidato anonimo a colloquio
      Nessuna offerta
      Esperienza positiva
      Colloquio nella media

      Candidatura

      Ho presentato la mia candidatura online. La procedura ha richiesto 4 settimane. Ho sostenuto un colloquio presso Manulife nel mese di mar 2025

      Colloquio

      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.

      Domande di colloquio [3]

      Domanda 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 risposta

      Domanda 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?
      Rispondi alla domanda

      Domanda 3

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

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