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...