Lead Data Scientist, AI and Technology Strategy

Lead Data Scientist, AI and Technology Strategy Join to apply for the

Lead Data Scientist, AI and Technology Strategy

role at

RBC .

Opportunity As Lead Data Scientist, this role will collaborate closely with the Director, AI and Technology Strategy, TEO, to develop and implement TEO's AI and data strategy. The AI and Technology Strategy team holds primary accountability for driving the adoption and value creation of AI across TEO, in conjunction with RBC's AI teams, including Borealis and Lumina.

By leveraging RBC's extensive data assets and AI ecosystems, you will work in tandem with business stakeholders, end-users, and technology partners to design and deploy AI‑enabled data frameworks and reporting structures. Additionally, you will develop and test computer programs, models, and prototypes as part of proof‑of‑concept initiatives, focusing on enhancing operational efficiencies and elevating customer experiences.

Responsibilities

Participate in the design, development, and deployment of AI/ML models and prototypes using enterprise data assets.

Collect, transform, and analyze complex data to extract insights, support model development, and enable predictive analytics.

Collaborate with IT partners to implement efficient solutions, reduce manual work and errors, and align cloud infrastructure with AI strategy.

Develop and maintain scalable data platforms, including data lakes, pipelines, and APIs, to ensure accurate and reliable data feeds.

Create dashboards, reporting platforms, and self‑service reporting capabilities to monitor model performance, operational impact, and efficiency gains.

Establish processes for continuous model improvement, including automated feedback loops and simulation environments to validate models and quantify business impact.

Requirements

3‑5 years deep understanding of AI/ML fundamentals, frameworks and relevant programming or database languages (SQL, Python, SAS, Node.js or Java).

Master’s degree in data engineering, Computer Science, or related field; or equivalent experience in software development.

Experience with data platforms, cloud technologies (AWS, Azure, GCP), and APIs.

Hands‑on experience in LLM, AI/ML model development, simulation, and deployment.

Proven ability to design scalable data pipelines and AI‑ready infrastructures.

Solid understanding of data governance, security, and compliance.

Strong communication skills to translate technical solutions into business outcomes.

Nice to Have

Experience working directly with client or business teams in banking operations industry.

Experience with model lifecycle management, and design thinking.

Prior exposure to RBC enterprise data platforms or financial services.

Experience of building or leading AI/data science teams.

Benefits

A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.

Leaders who support your development through coaching and managing opportunities.

Ability to make a difference and lasting impact.

Work in a dynamic, collaborative, progressive, and high‑performing team.

A world‑class training program in financial services.

Flexible work/life balance options.

Opportunities to do challenging work.

Job Details Address:

180 Wellington St W, Toronto, Canada

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

Technology and Operations

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2025-10-22

Application Deadline:

2025-11-30

Equal Opportunity Statement At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Other Information Applications will be accepted until 11:59 PM on the day prior to the application deadline date above.

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