Top Benefits
About the role
Job Description
What is the opportunity? Wealth Management Data & AI is responsible for delivering a global data foundation and innovative AI capabilities across all of Wealth Management’s global businesses. We are looking to hire a seasoned Data Scientist to lead our AI development efforts. The role will be responsible for applying modern AI and data science techniques to deliver digital innovations for Wealth Management Canada. What will you do? Provide technical leadership working with a team of data scientists and ML engineers to drive new and innovative AI solutions, ability to deliver without close supervision Lead the requirements discovery, research, and development for a series of new Data and AI digital capabilities for Wealth Management. Participate in the end-to-end development of high-impact AI solutions, from ideas to design, and PoC to production deployment. Collaborate with ML Engineers and business stakeholders to deliver state of the art AI foundational capabilities, and customized agentic AI products to support field advisors across RBC Wealth Management offices Conduct research for a wide variety of applied data science projects, with focus on building real-world applications that address operational business challenges Become a technical subject matter expert, assist in the adoption of AI and enabling data driven process for the business, working closely with business teams to understand their needs, translate business use cases into practical technical problems, and iterate on solutions What do you need to succeed?
Must Have
6+ years of work experience developing high-impact machine learning solutions in a fast-paced environment. Proven ability to apply data science and statistical techniques to solve real world business problems. Proficient in building and maintaining models, model tunings, and model monitoring Advanced proficiency in SQL and Python programming languages, hands-on programming experience developing modular, robust, and scalable pipelines in Python Experienced with AI/ML infrastructure and model deployment for Gen AI applications in production environments and supporting enterprise-scale use cases Strong foundation in ML and AI basics, knowledge of Inferencing, fine-tuning, model architectures, Embeddings. Hands-on experience implementing solutions using modern ML and Deep Learning frameworks, such as PyTorch, TensorFlow, Scikit-Learn, or Hugging Face Transformers Familiar with software engineering industry best practices, including coding standards, testing methods, code reviews, and version control Nice to Have Master’s or PhD Degree in computer science, engineering or related technical fields Hands-on experiences prototyping Gen AI applications, including working with foundational LLMs and transformer models, agentic frameworks, vector databases, prompt engineering, designing and refining modular RAG to optimize LLM outputs Experience using AWS Sagemaker, S3, Snowflake, Airflow, Hadoop, PySpark Familiar with JIRA, Confluence, Agile/Scrum development methodology Ability to read and write in French is a plus 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.
Opportunities to do challenging work
Opportunities to take on progressively greater accountabilities Opportunities to building close relationships with clients Access to a variety of job opportunities across business and geographies. #LI-Post #LI-PK #TECHPJ Job Skills Artificial Intelligence (AI), Data Engineering, Data Science, Generative AI, Machine Learning (ML), Model Deployment, Natural Language Processing (NLP), Python (Programming Language), Structured Query Language (SQL) Additional Job Details Address: RBC CENTRE, 155 WELLINGTON ST W:TORONTO City: Toronto Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: WEALTH MANAGEMENT Job Type: Regular Pay Type: Salaried Posted Date: 2026-06-15 Application Deadline: 2026-08-07 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above Our Employment Opportunities At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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.
Join our Talent Community
Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.
Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com. RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.
Not the right fit? Search for Data Scientist jobs in Toronto, Ontario, Canada
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.
Similar Jobs
Top Benefits
About the role
Job Description
What is the opportunity? Wealth Management Data & AI is responsible for delivering a global data foundation and innovative AI capabilities across all of Wealth Management’s global businesses. We are looking to hire a seasoned Data Scientist to lead our AI development efforts. The role will be responsible for applying modern AI and data science techniques to deliver digital innovations for Wealth Management Canada. What will you do? Provide technical leadership working with a team of data scientists and ML engineers to drive new and innovative AI solutions, ability to deliver without close supervision Lead the requirements discovery, research, and development for a series of new Data and AI digital capabilities for Wealth Management. Participate in the end-to-end development of high-impact AI solutions, from ideas to design, and PoC to production deployment. Collaborate with ML Engineers and business stakeholders to deliver state of the art AI foundational capabilities, and customized agentic AI products to support field advisors across RBC Wealth Management offices Conduct research for a wide variety of applied data science projects, with focus on building real-world applications that address operational business challenges Become a technical subject matter expert, assist in the adoption of AI and enabling data driven process for the business, working closely with business teams to understand their needs, translate business use cases into practical technical problems, and iterate on solutions What do you need to succeed?
Must Have
6+ years of work experience developing high-impact machine learning solutions in a fast-paced environment. Proven ability to apply data science and statistical techniques to solve real world business problems. Proficient in building and maintaining models, model tunings, and model monitoring Advanced proficiency in SQL and Python programming languages, hands-on programming experience developing modular, robust, and scalable pipelines in Python Experienced with AI/ML infrastructure and model deployment for Gen AI applications in production environments and supporting enterprise-scale use cases Strong foundation in ML and AI basics, knowledge of Inferencing, fine-tuning, model architectures, Embeddings. Hands-on experience implementing solutions using modern ML and Deep Learning frameworks, such as PyTorch, TensorFlow, Scikit-Learn, or Hugging Face Transformers Familiar with software engineering industry best practices, including coding standards, testing methods, code reviews, and version control Nice to Have Master’s or PhD Degree in computer science, engineering or related technical fields Hands-on experiences prototyping Gen AI applications, including working with foundational LLMs and transformer models, agentic frameworks, vector databases, prompt engineering, designing and refining modular RAG to optimize LLM outputs Experience using AWS Sagemaker, S3, Snowflake, Airflow, Hadoop, PySpark Familiar with JIRA, Confluence, Agile/Scrum development methodology Ability to read and write in French is a plus 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.
Opportunities to do challenging work
Opportunities to take on progressively greater accountabilities Opportunities to building close relationships with clients Access to a variety of job opportunities across business and geographies. #LI-Post #LI-PK #TECHPJ Job Skills Artificial Intelligence (AI), Data Engineering, Data Science, Generative AI, Machine Learning (ML), Model Deployment, Natural Language Processing (NLP), Python (Programming Language), Structured Query Language (SQL) Additional Job Details Address: RBC CENTRE, 155 WELLINGTON ST W:TORONTO City: Toronto Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: WEALTH MANAGEMENT Job Type: Regular Pay Type: Salaried Posted Date: 2026-06-15 Application Deadline: 2026-08-07 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above Our Employment Opportunities At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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.
Join our Talent Community
Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.
Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com. RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.
Not the right fit? Search for Data Scientist jobs in Toronto, Ontario, Canada
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.