Lead Data Scientist, AI and Technology Strategy
Top Benefits
About the role
Lead Data Scientist, AI and Technology Strategy, TEO
What is the 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.
What will you do?
- Participate in the design, develop, and deploy 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, reducing manual work and errors, and to 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.
What do you need to succeed?
Must have:
- 3-5 years deep understanding of AI/ML fundamentals, frameworks and relevant programming or database languages like SQL, Python, SAS, Node.js or Java.
- Master’s degree in data engineering, Computer Science, or related fieldwork experience in software development or related fields.
- 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.
What’s in it for you?
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
- 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
About RBC
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 94,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada's biggest bank and one of the largest in the world, based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our more than 17 million clients in Canada, the U.S. and 27 other countries. Learn more at rbc.com. We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at www.rbc.com/community-social-impact.
La Banque Royale du Canada est une institution financière mondiale définie par sa raison d'être, guidée par des principes et orientée vers l'excellence en matière de rendement. Notre succès est attribuable aux quelque 94 000+ employés qui mettent à profit leur créativité et leur savoir faire pour concrétiser notre vision, nos valeurs et notre stratégie afin que nous puissions contribuer à la prospérité de nos clients et au dynamisme des collectivités. Selon la capitalisation boursière, nous sommes la plus importante banque du Canada et l'une des plus grandes banques du monde. Nous avons adopté un modèle d'affaires diversifié axé sur l'innovation et l'offre d'expériences exceptionnelles à nos plus de 17 millions de clients au Canada, aux États Unis et dans 27 autres pays. Pour en savoir plus, visitez le site rbc.com/francais
Nous sommes fiers d'appuyer une grande diversité d'initiatives communautaires par des dons, des investissements dans la collectivité et le travail bénévole de nos employés. Pour de plus amples renseignements, visitez le site www.rbc.com/collectivite-impact-social.
Lead Data Scientist, AI and Technology Strategy
Top Benefits
About the role
Lead Data Scientist, AI and Technology Strategy, TEO
What is the 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.
What will you do?
- Participate in the design, develop, and deploy 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, reducing manual work and errors, and to 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.
What do you need to succeed?
Must have:
- 3-5 years deep understanding of AI/ML fundamentals, frameworks and relevant programming or database languages like SQL, Python, SAS, Node.js or Java.
- Master’s degree in data engineering, Computer Science, or related fieldwork experience in software development or related fields.
- 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.
What’s in it for you?
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
- 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
About RBC
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 94,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada's biggest bank and one of the largest in the world, based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our more than 17 million clients in Canada, the U.S. and 27 other countries. Learn more at rbc.com. We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at www.rbc.com/community-social-impact.
La Banque Royale du Canada est une institution financière mondiale définie par sa raison d'être, guidée par des principes et orientée vers l'excellence en matière de rendement. Notre succès est attribuable aux quelque 94 000+ employés qui mettent à profit leur créativité et leur savoir faire pour concrétiser notre vision, nos valeurs et notre stratégie afin que nous puissions contribuer à la prospérité de nos clients et au dynamisme des collectivités. Selon la capitalisation boursière, nous sommes la plus importante banque du Canada et l'une des plus grandes banques du monde. Nous avons adopté un modèle d'affaires diversifié axé sur l'innovation et l'offre d'expériences exceptionnelles à nos plus de 17 millions de clients au Canada, aux États Unis et dans 27 autres pays. Pour en savoir plus, visitez le site rbc.com/francais
Nous sommes fiers d'appuyer une grande diversité d'initiatives communautaires par des dons, des investissements dans la collectivité et le travail bénévole de nos employés. Pour de plus amples renseignements, visitez le site www.rbc.com/collectivite-impact-social.