Ma
Posted:
June 04, 2026
Location:
toronto, on, Canada
Job Description
Become a vital part of Manulife as a Generative AI-focused Senior Data Scientist. Address HR-related challenges using advanced machine learning techniques and cloud technology.
Manulife is seeking an experienced Senior Data Scientist who specializes in Generative AI applications within HR. You will play a key role in deploying machine learning solutions, developing actionable insights, and collaborating with engineering teams to advocate for best practices. This position emphasizes hands-on experience and continuous learning in evolving AI technologies.
Key Responsibilities:
• Apply machine learning to HR-related challenges
• Implement and manage Generative AI solutions on cloud platforms
• Optimize systems using RAG methodologies
• Process and analyze complex HR information
• Collaborate on defining business requirements
Requirements:
• Strong background in data science and machine learning
• Experience with programming and machine learning libraries
•...
Manulife is seeking an experienced Senior Data Scientist who specializes in Generative AI applications within HR. You will play a key role in deploying machine learning solutions, developing actionable insights, and collaborating with engineering teams to advocate for best practices. This position emphasizes hands-on experience and continuous learning in evolving AI technologies.
Key Responsibilities:
• Apply machine learning to HR-related challenges
• Implement and manage Generative AI solutions on cloud platforms
• Optimize systems using RAG methodologies
• Process and analyze complex HR information
• Collaborate on defining business requirements
Requirements:
• Strong background in data science and machine learning
• Experience with programming and machine learning libraries
•...
Apply for this Job
Submit your application for the Generative AI Data Scientist at Manulife position at Manulife Financial.
Apply Now Save for LaterJob Overview
Job Type:
Full-time
Location:
toronto, Canada
Posted:
June 04, 2026
Deadline:
July 14, 2026