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.

📌 Senior Economics Data Scientist AI (Ottawa)
🏢 Bank of Canada
📍 Ottawa