Senior Data Scientist - Toronto, Canada - Sun Life

    Sun Life
    Sun Life Toronto, Canada

    3 weeks ago

    Default job background
    Temps plein
    Description

    Description

    de poste:

    Within Sun Life, the Analytics & Insights teams are comprised of savvy and intellectually curious professionals who are on a mission to transform how we apply data and analytics to support Sun Life becoming client centric. An integral part of the Analytics & Insights organization, the Data Science team supports Canadian business units in their journey to leverage data and analytics as a foundational pillar in delivering business value.

    Reporting to the Director, Data Science CoE, as a Senior Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of analytics in driving value. The Senior Data Scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.

    Sun Life views success in this role in demonstration of these key attributes:

    Fierce curiosity . You are drawn to discovering and leveraging new data and taking on challenging business puzzles.

    An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing.

    A passion for solving problems. The most successful data scientists' solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency.

    Thirst for learning. You are a data scientist who is constantly updating their knowledge of data science state-of-the-art.

    Technical skills in both data and computer science. There are 3 core technical skills we look for:

  • in-depth coding knowledge of an analytical tool(s) (i.e., Python)
  • data science techniques and concepts
  • Hand-on experience with NLP, deep learning, GenAI, and LLMs

    • What will you do?

  • Serve as the product owner for Canada's GenAI squad MLOps framework, standards, and guidelines, and fostering a community around it.
  • Lead the development of custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines. Model components will include data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning and prompt engineering.
  • Conduct rigorous model evaluation and validation to ensure high performance, accuracy, consistency, and reliability. Optimize models for improved system efficiency.
  • Deploy production-ready models in collaboration with MLOps team, ensuring reliability, scalability and smooth integration.
  • Lead cross-functional agile teams to break down data science projects into milestones, activities and work plans.
  • Collaborate closely with product, engineering and business teams throughout the full product development lifecycle.
  • Establish and enforce best practices and governance standards for responsible ML development.
  • Troubleshoot complex issues and develop innovative solutions related to models, data and pipelines.
  • Mentor and guide more junior data scientists.

    • What do you need to succeed ?

  • Advanced degree in Computer Science, Statistics or related field.
  • 5+ years of hands-on experience developing complex ML/DL models from scratch.
  • Demonstrated 2+ years hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark or similar statistical tools. Expert in python programming.
  • 2+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures.
  • Knowledge of and measurable hands-on experience with developing or tuning Large Language Models (LLM) and Generative AI (GAI)
  • Experienced with NLP, LLMs (extractive and generative), fine-tuning and LLM model development. Familiar with higher level trends in LLMs and open-source platforms
  • Proven track record of shipping production ML systems.
  • Strong communication, collaboration and leadership skills. - Passion for responsible AI and data ethics.

    • What will be nice to have?

  • Past experience in life insurance/wealth management, or other financial services industry (e.g., retail banking, credit card, property and casualty insurance)
  • Experience with contributing to Github and open-source initiatives or in research projects and/or participation in Kaggle competitions.
  • Past experience in developing and deploying production grade model in cloud infrastructure.

    • Unique Requirements

    The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the section 201 on the Federal Government site () ​

    Must be able to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

    What's in it for you?

  • Flexible Benefits from the day you join to meet the needs of you and your family
  • Pension, stock, and savings programs to help build and enhance your future financial security
  • Being part of our analytics community, where we share best practices and broaden skill sets
  • We're proud to be a Best Workplace for Hybrid Work by Great Place to Work Canada

    • L'échelle du salaire de base est pour l'emplacement principal du poste affiché. Elle peut varier selon l'emplacement du candidat sélectionné et d'autres facteurs. En plus du salaire de base, les employés admissibles de la Financière Sun Life participent à différents programmes de rémunération incitative, dont le montant octroyé est discrétionnaire et dépend du rendement de l'employé et de la compagnie. Certains postes de vente participent à des programmes de rémunération incitative basés sur les résultats de vente individuels ou de groupe.

    Depuis toujours, la diversité et l'intégration sont au cœur des valeurs de la Financière Sun Life. Nous croyons qu'un effectif diversifié ayant des points de vue variés et des idées créatives est avantageux pour nos clients, pour les collectivités où nous exerçons nos activités, ainsi que pour nous tous, en tant que collègues. Nous accueillons avec enthousiasme les candidatures de personnes compétentes provenant de tous les horizons.

    Les personnes handicapées ayant besoin de mesures d'adaptation pour présenter leur candidature et celles qui doivent consulter les offres d'emploi sur un support de substitution peuvent envoyer leur demande par courriel à l'adresse ''.

    À la Sun Life, nous voulons créer un environnement de travail flexible où nos employés sont outillés pour donner le meilleur d'eux-mêmes. Nous offrons plusieurs options de travail flexibles selon les exigences du poste et les besoins individuels. N'hésitez pas à en discuter pendant le processus de sélection.

    Nous remercions tous les candidats de l'intérêt manifesté pour ce poste. Nous ne communiquerons qu'avec les personnes qui auront été retenues pour passer une entrevue.

    Échelle salariale:

    82,000/ ,000/135 000

    Catégorie d'emploi :

    Advanced Analytics

    Fin de l'affichage :

    28/04/2024