Advance forecasting and policy analysis with quantitative modelling at the Bank of Canada, working hybrid from Canada near the office.

As Senior Data Scientist, you will provide technical and methodological leadership for complex economic and policy questions. Your work will apply statistical modelling, econometrics, machine learning, artificial intelligence, and emerging analytical methods. You will help modernize research practices, improve decision-making workflows, and develop sustainable capabilities with economists, researchers, business clients, and technology teams.

Key Responsibilities:

- Lead complex analytical initiatives supporting economic research and forecasting
- Apply AI and quantitative methods to policy challenges
- Design analytical solutions and decision-support applications




- Establish analytical quality and model explainability practices
- Support AI adoption and capability development

Requirements:

- Master’s degree or higher in economics, statistics, or related field
- At least six years using advanced quantitative methods
- Experience with cloud analytics platforms such as Azure or Databricks
- Programming proficiency in Python, MATLAB, or similar tools
- Experience leading complex analytical projects and collaborations

Use quantitative modelling, forecasting, and AI expertise to influence economic research and policy analysis at the Bank of Canada.

📌 Senior Quantitative Modelling Scientist (Ottawa)
🏢 Bank of Canada
📍 Ottawa