Lead economics, AI, and quantitative modelling at the Bank of Canada through a hybrid work model supporting Canada’s economic research.

As a Senior Data Scientist, you will guide advanced analytics across economic research, forecasting, policy analysis, and evidence-based decisions. You will combine econometrics, machine learning, artificial intelligence, and quantitative methods to address complex challenges. Reporting to the Assistant Director, Data Science, you will collaborate with economists, researchers, business stakeholders, and technology teams.

Key Responsibilities:
Lead statistical, econometric, machine learning, and AI model development
Build AI-enabled applications, frameworks, tools, and scalable data products
Translate analytical findings for technical and non-technical audiences




Guide responsible AI, model governance, documentation, and reproducible research
Mentor team members delivering complex analytical initiatives

Requirements:
Master’s degree or higher in a quantitative discipline
Minimum six years applying advanced quantitative methods
Expertise in econometrics, forecasting, statistical modelling, ML, and AI
Experience with LLMs, generative AI, or agentic AI systems
Proficiency with Python, MATLAB, or similar tools

Apply economics, AI, and quantitative modelling expertise as a Senior Data Scientist at the Bank of Canada.
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📌 Senior Economics Data Scientist Ai Ottawa (Canada)
🏢 Bank of Canada
📍 Canada