Working within the Wealth Management Data and AI team, you will assist the lead data scientists in developing analytical models and data driven solutions. Responsibilities will include data cleaning, exploratory analysis, feature engineering, model evaluation, and model deployment.

What will you do?

• Assist lead data scientists in building, testing, and deploying predictive models and analytical tools
• Prepare, clean, organize large data sets.
• Conduct exploratory data analysis and explain findings.
• Generate reports and visualisations.
• Develop POCs

What do you need to succeed?

Must-have

• A bachelor’s degree in computer science, Software Engineering, Statistics, or other STEM
• Majors. Masters/PhD considered an asset.
• Experience in building applications with Generative AI, Large Language Models (LLM), and agentic systems.
• Experience in productionizing and deploying ML-based applications/solutions in hybrid environments on-prem and major cloud environments, such as AWS and Azure
• 4+ years of work experience within the data science domain.
• Strong proficiency in Python
• Strong proficiency in SQL

Nice-to-have

• Experience with Agile software development and DevOps pipelines such as Jenkins, GitHub actions
• Experience in building applications with Generative AI, Large Language Models (LLM), and agentic systems.
• Experience in productionizing and deploying ML-based applications/solutions in hybrid environments on-prem and major cloud environments, such as AWS and Azure

What’s in it for you

• You’ll find yourself in a culture where designers feel included, valued, and heard; in a supportive environment surrounded by peers who exceed in their area of expertise.
• You’ll work on solutions used by millions of people and contribute to a company that truly values customer experience and remains a Global Digital leader.
• You’ll be part of team that’s pushing the boundaries of digital product design as we strive to improve the lives of the people and communities we serve.
• You’ll help to shape Design Research as a practice at RBC and, by example, with your peers around the globe.
• Work/life balance is important to us; you will be part of a company that values your time.

Job Skills

Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning (ML), Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)

Additional Job Details

RBC CENTRE, 155 WELLINGTON ST W:TORONTOTorontoCanada37.5Full timeWEALTH MANAGEMENTRegularSalaried2026-03-122026-03-27

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.

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.