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Bank of Canada

Senior Data Scientist, AI Solutions

Ottawa, ON, Canada

Job type: Full-time
Apply by: Oct 28, 2026
Posting language: English
Posted: Sep 28, 2026

Apply About employer

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Original job description

Take a central role

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.

Building on the principles that have always guided us – excellence, integrity and respect – we strive to be forward-looking and innovative, to welcome people with diverse perspectives and talents, and to earn trust by living up to our commitments and by clearly explaining the intent of our policies and actions.

With our defined-benefit pension plan, benefits, and high flexibility for work life balance - find out more about why we are annually ranked as one of Canada's top employers: Working Here - Bank of Canada

Find out more about the next steps in our Recruitment process .

What You Need To Know

You will join the Data and Digital Services (DDS) Department and report to the Assistant Director, Data Science. As a hands-on AI expert who thrives in a collaborative, experimentation-driven environment, you will design, build, and deliver end-to-end AI and data science solutions that support AI-focused projects and services across the Bank of Canada. Your work will enable economists and policy teams to access high-quality data, deploy trusted and well-governed models, strengthen analytical tools and processes, and translate insights into real policy impact.

In this role, you directly support the Bank’s core mandate to maintain low and stable inflation and ensure a resilient, efficient financial system.

What You Will Do

You will design and deliver end-to-end AI and machine learning (ML) solutions within the Bank of Canada's technology ecosystem. Working closely with business partners and multidisciplinary teams, you will develop a deep understanding of business needs and transform them into scalable, secure, and responsible AI capabilities that create measurable value.

In this role, you will provide technical leadership in the design and evolution of AI architectures, helping establish enterprise patterns, standards, and practices that enable AI solutions to scale across the Bank’s policy and research departments. You will ensure AI solutions are effectively integrated, governed, and operated across the Bank’s technology platforms while driving innovation and promoting best practices in AI architecture and delivery.

You will also maintain an active hands-on role in the development and implementation of AI solutions, collaborating with technical teams to translate architectural vision into production-ready capabilities and ensuring solutions deliver sustainable business value.

Architect, design, and implement AI/ML solutions : Design, build, and implement AI and ML solutions that meet business and technical requirements across platforms such as Azure and Databricks. You will develop scalable architectures, AI orchestration capabilities, and integration patterns that align with the Bank's technology strategy while delivering performance, security, and business value.
Deliver Trusted AI Services for Policy and Research : Provide and evolve AI services that enable the Bank’s policy and research communities to leverage advanced analytics, ML, and generative AI effectively and responsibly. You will champion governance frameworks, architectural best practices, and model oversight capabilities to ensure solutions are secure, interoperable, scalable, and aligned with the Bank’s strategic objectives.
Drive innovation and technical leadership : Evaluate emerging AI technologies, frameworks, and methodologies to identify opportunities for innovation and continuous improvement. You will help shape the Bank's AI direction through technology roadmaps, architectural guidance, and knowledge-sharing initiatives that strengthen organizational expertise.
Lead solution delivery from concept to operations : Oversee the full lifecycle of AI initiatives, from discovery and architectural design through development, deployment, and operational transition. You will provide technical leadership to ensure solutions are delivered effectively and are positioned for long-term sustainability.
Partner with stakeholders to deliver business value : Collaborate closely with data scientists, engineers, technology partners, and business lines to understand needs, define solutions, and drive successful outcomes. You will translate complex technical concepts into clear recommendations, communicate roadmaps and strategies, and ensure AI investments deliver measurable business impact.
Promote responsible AI practices : Embed responsible AI principles into solution design by ensuring appropriate levels of explainability, traceability, reproducibility, and human oversight. You will help ensure AI capabilities are developed and deployed in a manner that is transparent, reliable, and aligned with the Bank's governance requirements.

What You Need To Succeed

Extensive experience architecting and delivering enterprise-scale AI/ML solutions using platforms such as Azure, Databricks, and Foundry.
Strong expertise in AI/ML engineering, including Python or R development, Git-based workflows, CI/CD pipelines, and MLOps/DevOps practices.
Experience designing AI orchestration solutions, agent-based systems, and integrations using standards and protocols such as MCP.
Deep understanding of AI architecture, governance, responsible AI principles, and operational considerations including security, scalability, explainability, model validation, monitoring, and lifecycle management.
Demonstrated ability to lead complex projects, influence stakeholders, communicate technical concepts effectively, and drive business outcomes.
Curiosity, adaptability, and a commitment to continuous learning in the rapidly evolving AI landscape, combined with a passion for coaching and knowledge sharing.

AI Competencies That Matter

Curiosity and willingness to explore emerging AI techniques
Ability to balance experimentation with responsible and ethical AI practices
Systems thinking and comfort working across complex data and technology ecosystems

Nice-to-Have

Experience with ML and statistical predictive models across the full model lifecycle
Familiarity with MATLAB

Education And Experience

The position requires a master’s degree in a quantitative field such as Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, Engineering, Economics, or a related discipline, and a minimum of five (5) years of experience in applied AI/ML solution design and architecture. An equivalent combination of education and experience may be considered.

Innovative Mindset

We value candidates who demonstrate adaptability, curiosity, and a willingness to learn new technologies, including AI and digital tools. We seek individuals who can think critically about data, question existing processes, and find ways to simplify our work while embracing change and new ways of doing things.

Language requirement

The Bank’s work environment is conducive to the use of both of Canada’s official languages - English and French. Although the position language requirement is English or French essential, we do encourage everyone to improve their second language proficiency for future career growth and to contribute towards fostering a bilingual environment.

What You Need To Know

Priority will be given to Canadian citizens and permanent residents
Security level required: Be eligible to obtain Reliability
Relocation assistance may be provided, if required
Please save a copy of the job poster. Once the closing date has passed, it will no longer be available.
The official title for this position is “Senior Data Scientist ”

Hybrid Work Model

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.

What You Can Expect From Us

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. For more information on key benefits please visit A great deal to consider .

Salaries are based on qualifications and experience and typically range from $111,051 to $130,649 (job grade 17)
The Bank offers an incentive for successfully meeting expectations at 7 to 10% of your base salary. The Bank offers additional performance pay (5%) for those who exceed expectations. Exceptional performers who far exceed expectations may be eligible for higher performance pay.
Flexible and comprehensive benefits so you can choose the level of health, dental disability and life and/or accident insurance coverage that meets your needs
Extra vacation days (up to five each year) that you can purchase to add to your vacation entitlement
Indexed, defined-benefit pension

We wish to thank all applicants for their interest and effort in applying for this position. Only candidates selected for interviews will be contacted.

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More about this job

Responsibilities

Architect, build, and deliver scalable, secure AI/ML solutions and services across the Bank’s technology platforms, guiding initiatives from discovery and design through deployment and operations. Provide technical leadership, promote responsible AI governance, and partner with research, policy, and technical teams to deliver measurable business value.

Requirements

A master’s degree in a quantitative discipline and at least five years of experience designing and architecting applied AI/ML solutions are required, or an equivalent combination of education and experience. Candidates should have enterprise AI/ML platform and engineering expertise, including Azure, Databricks, Python or R, CI/CD, MLOps/DevOps, AI orchestration, governance, and the ability to lead projects and communicate with stakeholders.

Skills

AI/ML Architecture
AI/ML Engineering
Python
R
Azure
Databricks
Foundry
AI Orchestration
Agent-Based Systems
MCP
Git
CI/CD
MLOps
DevOps
Responsible AI
Stakeholder Communication

Benefits

Defined-Benefit Pension Plan
Health Insurance
Dental Insurance
Disability Insurance
Life and Accident Insurance
Additional Vacation Days
Performance Incentive

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Data Science
Azure
Databricks
Foundry
Python
R
Git
CI/CD
MLOps
DevOps
AI Orchestration
Agent-Based Systems
MCP
Generative AI
Predictive Modeling
Statistical Models
AI Architecture
AI Governance
Responsible AI
Model Validation
Model Monitoring
Model Lifecycle Management
Explainability
Security
Scalability
Human Oversight
Financial System
Policy Research

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