Associate Data Scientist

Company: Manulife

Location: Toronto, ON M4W 1E5

Type: Full-time

Posted: 2026-03-20

About this role

locations

Toronto, Ontario

Waterloo, Ontario

Montreal, Quebec

time type

Temps plein

posted on

Publié aujourd'hui

time left to apply

Date de fin : 3 avril 2026 (Il reste 13 jours pour postuler)

job requisition id

JR26030161

As an Associate Data Scientist this role will offer an exciting opportunity to design, evaluate, and deploy LLM-based applications, contributing significantly to our mission of developing responsible and impactful AI solutions. By collaborating on projects that involve cutting-edge LLM technologies and integration with platforms like OpenAI and Azure, the candidate will play a crucial part in advancing our AI initiatives and ensuring model performance and alignment. Through this opportunity, they will gain invaluable real-world experience in LLM evaluation, mentorship from senior AI professionals, and exposure to enterprise AI workflows, all within a collaborative environment that fosters innovation and continuous learning.

Position Responsibilities:

  • Design and evaluate LLM-based applications, including RAG pipelines, agentic systems, and chat interfaces.
  • Conduct LLM red-teaming, bias detection, and alignment testing using comparative and statistical analysis techniques.
  • Build and maintain automated evaluation frameworks for LLM outputs using embedding-based and prompt-based methods.
  • Develop interactive dashboards and visualizations using Power BI to communicate insights and model performance to stakeholders.
  • Integrate and test LLMs using OpenAI APIs, Databricks, and Azure AI Services.
  • Collaborate on the development of fine-tuning and pre-training pipelines for domain-specific use cases.
  • Work with Vector Databases (e.g., FAISS, MongoDB, Neo4j) to support RAG and semantic search capabilities.
  • Participate in code reviews, documentation, and agile development cycles with the engineering team.

Required Qualifications:

  • Minimum 1 year of professional (non-academic) experience in data science, machine learnin...

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