At a Glance
- Tasks: Lead innovative data science projects using AI and economics to shape Canada's economic future.
- Company: Join the Bank of Canada, a trusted leader in economic policy and research.
- Benefits: Competitive salary, flexible work arrangements, and comprehensive benefits package.
- Other info: Dynamic hybrid work model with opportunities for career growth and professional development.
- Why this job: Make a real impact on Canada's economy while working with cutting-edge technologies.
- Qualifications: Master's degree in a quantitative field and strong experience in data science and economics.
The predicted salary is between 111051 - 130649 $ per year.
The Bank is committed to achieving a workforce that reflects the diversity of our country and is representative and inclusive of all Canadians regardless of race, ethnicity, colour, religion, sex, age, disability, sexual orientation, gender identity or expression, socio-economic background or lived experience. By living our values and prioritizing our actions to enhance equity, diversity and inclusion, the Bank ensures broader discussions, better decisions, and a more engaging workplace. We make career growth and professional development a priority. We are committed to developing inclusive, barrier-free recruitment and selection processes, and a work environment that supports our diverse workforce.
We invite you to join an organization where differences are seen as strengths and are recognized, valued and respected. We welcome all candidates to apply and strongly encourage candidates to self-identify if they identify with an Employment Equity designated group (Indigenous Peoples, Persons with Disabilities, Women or Racialized/Visible Minorities).
The Bank of Canada has a vision to be a leading central bank—dynamic, engaged and trusted—committed to a better Canada. No other employer in the country offers you the unique opportunity to work at the very center of Canada’s economy, in an organization with significant impact on the economic and financial well-being of all Canadians. You will be challenged, energized and motivated to excel in our environment.
We are seeking a Senior Data Scientist with strong economics and quantitative modelling expertise to help shape the future of economic research, policy analysis, and data-driven decision-making at the Bank of Canada. You will provide technical and methodological leadership in applying advanced analytics, machine learning (ML), artificial intelligence (AI), and quantitative methods to complex economic research and policy challenges. Your work will influence analytical practices, strengthen organizational capabilities, and support evidence-based decisions across the Bank’s policy and research functions.
As a Senior Data Scientist, you will lead complex analytical initiatives that advance economic research, forecasting, policy analysis, and evidence-based decision-making. Drawing on expertise in economics, data science, and emerging technologies, you will provide technical and methodological leadership while strengthening the Bank’s AI and data science capabilities. Your responsibilities will include:
- Leading the design, development, validation, deployment, and operationalization of statistical, econometric, ML, and AI models that address complex economic, research, and policy questions.
- Building AI-enabled applications, analytical tools, reusable frameworks, and scalable data products that improve research, modelling, forecasting, and decision-making workflows.
- Partnering with economists, researchers, business stakeholders, and technology teams to identify, prioritize, and implement opportunities where data science and AI can improve analytical outcomes and operational effectiveness.
- Translating analytical findings into actionable insights and clearly communicating methodologies, assumptions, limitations, and results to technical and non-technical audiences.
- Providing technical and methodological guidance, mentoring team members, and supporting the successful delivery of complex analytical initiatives.
- Establishing and promoting best practices in reproducible research, model governance, responsible AI, model explainability, documentation, and analytical quality.
- Evaluating emerging AI, ML, and analytical methods and guiding their appropriate adoption to strengthen economic models, research methodologies, forecasting approaches, and decision-making workflows.
You are a collaborative and innovative data scientist with strong expertise in economics and quantitative modelling. You combine deep technical knowledge and sound methodological judgment with the ability to communicate complex concepts clearly, influence stakeholders, and translate economic research and policy challenges into impactful analytical solutions. You are comfortable navigating ambiguity and working in complex environments. You continuously expand your knowledge of emerging AI and data science methods and contribute to a culture of learning, collaboration, and knowledge-sharing. You bring:
- Demonstrated experience leading complex analytical projects and delivering impactful business, policy, or research outcomes.
- Expertise in econometrics, forecasting, statistical modelling, ML, AI, and quantitative analysis.
- Experience applying large language models (LLMs), generative AI, agentic AI systems, or other emerging AI technologies to research, analytical, or decision-support use cases.
- Proficiency with programming languages such as Python, MATLAB, or similar analytical computing tools.
- Experience working with cloud-based analytics platforms such as Azure, Databricks, or equivalent environments.
- Strong communication and stakeholder engagement skills, with the ability to explain complex technical concepts to technical and non-technical audiences.
- Experience contributing to economic research, forecasting studies, policy papers, or other analytical publications that support evidence-based decision-making.
This position requires a master’s degree or higher in economics, econometrics, statistics, mathematics, data science, computer science, or a related quantitative discipline, along with a minimum of six years of experience applying advanced quantitative methods, including ML, AI, statistical modelling, and econometrics, in support of economic policy, research, forecasting, or evidence-based decision-making. An equivalent combination of education and relevant experience may also be considered.
The Bank offers work arrangements that provide employees with flexibility, enable high-performing teams, and support an excellent workplace culture. Most employees can telework from home for a portion of each month as part of the Bank’s hybrid work model, and they are expected on site at the Bank location a minimum of 12 days per month to help build connections between colleagues. You must live in Canada, and within reasonable commuting distance of the office.
This is a great opportunity to join a leading organization and be part of a high-performing team. We offer a competitive compensation and benefits package designed to meet your needs at every stage of your life and career.
Senior Data Scientist, Economics & AI in Ottawa employer: Bank of Canada
La Banque du Canada est un employeur de choix, offrant un environnement de travail collaboratif et dynamique où l'innovation et la précision sont au cœur de nos activités. En tant que Réviseur principal, vous bénéficierez d'opportunités de développement professionnel tout en contribuant à des projets significatifs qui influencent l'économie canadienne. Avec un modèle de travail hybride et une culture axée sur le bien-être des employés, nous nous engageons à soutenir votre croissance et votre épanouissement dans un cadre stimulant.