AVP leading AI transformation, including fraud detection, for Manulife, a global financial services provider. Driving secure, governed Classical, Generative, and Agentic AI solutions across Corporate Functions.
About the role
- AI science team leader guiding data scientists in developing and deploying advanced AI models for Desjardins, North America's largest cooperative financial group. Advancing AI practices and translating research into high-impact financial solutions.
Responsibilities
- Mobilize and support a team of about 10 data scientists in their development and in advancing their expertise
- Advance data science and AI practices by establishing methods, approaches and frameworks that guide the team’s work
- Promote scientific best practices, including model design, training and evaluation, reproducibility and performance monitoring
- Oversee the development of AI models using structured, semi-structured and unstructured data to address complex business challenges
- Lead experimentation and applied research activities to test new approaches and generate tangible insights
- Assess new market developments, including algorithms, models and methodologies, and recommend those offering the greatest value
- Work with business partners and product owners to identify and prioritize high-impact AI use cases
- Work closely with the AI Engineering team to transition models into robust, scalable solutions
- Translate scientific findings into clear recommendations for stakeholders and decision-makers
- Contribute to knowledge sharing and promote AI expertise across Desjardins Group
- Support the manager of the Artificial Intelligence Centre of Excellence Department
- Work on high-impact, transformational projects
Requirements
- Bachelor’s degree in mathematics, statistics, computer science, data science or a related field
- Minimum of eight years of relevant experience, including at least two years managing a team, AI practices or AI projects
- Other combinations of qualifications and relevant experience may be considered
- Experience delivering complex advanced analytics and AI projects
- In-depth data science experience, including modelling, performance evaluation, validation and AI best practices
- Experience with modern machine learning techniques, large language models or generative AI
- Knowledge of French is required
- Proficiency in main programming languages and frameworks used in data science and artificial intelligence, such as Python, PyTorch, scikit-learn and SAS
Benefits
- Competitive salary and annual bonus
- 4 weeks of flexible vacation starting in the first year
- Defined benefit pension plan that provides predictable, stable income throughout retirement
- Group insurance including telemedicine
- Reimbursement of health and wellness expenses and telework equipment
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