manulife
Senior Data Scientist - GenAI
At a Glance
- Location
- Toronto, Ontario, Canada
- Work Regime
- hybrid
- Employment
- Full time
- Experience
- 5+ years
- Posted
- 2026-08-06
Key Requirements
Required Skills
Domain Knowledge
- Engineering
- Mining
Requirements
5+ years of experience in developing probabilistic models, data mining, and machine learning algorithms, including real world experience of applying analytics models, with a strong focus on machine learning, generative AI, prompt engineering, and RAG applications
Proficiency in programming languages such as Python and experience with machine learning libraries/frameworks, e.g., PyTorch, scikit-learn, Hugging Face, SQL, graph databases (Neo4j/Cypher, Cosmos DB/Gremlin).
Knowledge of professional software engineering practices & standard methodologies for the full software development process, including coding standards, code reviews, source control management, build processes, testing, and operations.
Compensation & Benefits
$129,400.00 CAD - $179,400.00 CAD
Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact
hr@manulife.com
for the salary range for your location.
Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact
hr@manulife.com
Responsibilities
Develop and lead machine learning and AI driven projects that span the breadth of Group Functions (Corporate Functions) with high business impact
Apply generative AI techniques to generate synthetic data, create realistic simulations, and enhance data analysis capabilities.
Apply prompt engineering techniques, build with RAG (Retrieval-Augmented Generation) applications, and fine-tune language models and improve their performance in specific tasks.
Design and complete experiments to validate and optimize machine learning models, ensuring accuracy, efficiency, and scalability.
Deploy machine learning models and applications on cloud platforms like Azure ML or Databricks, ensuring flawless integration and scalability.
Stay up-to-date with the latest advancements in machine learning, generative AI, prompt engineering, RAG applications, and cloud technologies, and apply them to enhance our data science capabilities.
Team
We’ll empower you to learn and grow the career you want.
We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
As part of our global team, we’ll support you in shaping the future you want to see.
#LI-Hybrid
The role being advertised is an existing vacancy.
About the Company
Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit
https://www.manulife.com/en/about/our-story.html
.