Senior Data Scientist, AI Solutions

Role overview

What you will do

• Design and implement AI/ML solutions and scalable architectures across platforms such as Azure and Databricks.
• Develop AI services for policy and research, including governance frameworks and model oversight.
• Evaluate emerging technologies and help shape AI roadmaps, architectural guidance, and knowledge sharing.
• Lead solution delivery from discovery and design through deployment and operational transition.
• Partner with technical and business stakeholders to define needs, communicate recommendations, and deliver measurable value.
• Embed explainability, traceability, reproducibility, and human oversight into AI solution design.

Required qualifications

• Master’s degree in a quantitative field such as computer science, AI, data science, statistics, mathematics, engineering, or economics; equivalent education and experience may be considered.
• At least five years of experience in applied AI/ML solution design and architecture.
• Extensive experience delivering enterprise-scale AI/ML solutions using platforms such as Azure, Databricks, and Foundry.
• Strong AI/ML engineering skills, including Python or R, Git workflows, CI/CD, and MLOps/DevOps.
• Experience with AI orchestration, agent-based systems, and integrations such as MCP.
• Expertise in AI architecture, governance, responsible AI, security, scalability, explainability, model validation, monitoring, and lifecycle management.
• Ability to lead complex projects, influence stakeholders, communicate technical concepts, and drive business outcomes.
• English or French is essential for the position.

Assets and competencies

• Experience with ML and statistical predictive models across the full model lifecycle is an asset.
• Familiarity with MATLAB is an asset.
• The role values curiosity, adaptability, systems thinking, responsible experimentation, continuous learning, coaching, and knowledge sharing.

Work arrangement

• The Bank uses a hybrid work model; employees can telework for part of each month and are expected on site at least 12 days per month.
• Employees must live in Canada within reasonable commuting distance of the office.

Compensation and benefits

• Salary typically ranges from CAD 111,051 to CAD 130,649, based on qualifications and experience.
• Incentive pay is 7–10% of base salary for meeting expectations, with additional performance pay for exceeding expectations.
• Benefits include flexible insurance coverage, purchasable vacation days, and an indexed defined-benefit pension.

Additional information