What will you do?

• Develop and maintain end-to-end talent data and analytics solutions maximizing data pipelines and architectures to provide actionable talent metrics and insights (datasets, visualizations, dashboards) to serve business, HR and team needs
• Support the identification, design, and implementation of internal process improvements: automating manual processes, orchestrating and optimizing data delivery across various cloud-based and on-premises data platforms, etc.
• Support Data Scientists and ML Engineers in different phases of the ML lifecycle.
• Facilitate the automation of business intelligence reports and dashboards, by creating and leveraging reporting and scheduling capabilities
• Support team members with design and development of ad hoc analytics and reporting as needed

What do you need to succeed?

Must have:

• Strong working knowledge of relational databases (including Teradata, SQL Server, MySQL or similar)
• Hands-on experience with building Machine Learning models and conducting statistical analyses
• Strong working knowledge of programming languages such as Python
• Advanced experience with Microsoft Excel
• Strong management, organizational, critical thinking, analytical, communication and negotiation skills
• Experience with large, complex datasets from internal and external sources
• Ability to problem solve and design analytical approaches to respond to business needs
• Inquisitive thinker with strong business acumen, and the ability to apply data knowledge & data discovery skills into building effective reports and dashboards
• High proficiency with statistical and data mining tools to mine and analyze large amounts of data from diverse sources
• Working knowledge of data visualization tools such as Tableau or Power BI

Nice-to-have

• Background knowledge in Computer Science, Statistics, Information Systems, Physics or related quantitative field.
• Background knowledge in a Data Engineering or equivalent field of study
• Familiarity with Enterprise Data Lake and cloud computing-based data platforms like Snowflake

Please note: This posting is for a 4-months Winter 2026 Student placement with a start date of January 2026, and end date of April 2026. In order to be eligible for this 4-months Student position, you must either:

• Be returning back to school after the work term end-date of April 2026 ; or
• If you are not returning back to school (i.e. are graduating in April 2026), you must require the full 4-months work term as a mandatory component to in order to graduate successfully.

Please ensure that you meet these eligibility requirements before applying - candidates who apply but are found to be ineligible are not able to be considered.

We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is September 14, 2025. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

RBC is committed to supporting flexible work arrangements when and where available. The successful candidate for this role will be required to be located within Ontario for the duration of the work term. Details regarding the specific virtual, hybrid, and in-office arrangements for this Integrated Learning/ Co-op position are to be discussed with the Hiring Manager.

ET26

Analytics, Business Intelligence (BI), Communication, Data Analysis, Data Mining, Data Science, Detail-Oriented, Documentation Maintenance, Python (Programming Language), Structured Query Language (SQL)

Additional Job Details

20 KING ST W:TORONTOTorontoCanada37.5Full timeHUMAN RESOURCES & BMCCStudent/Coop (Fixed Term)Salaried2025-08-152025-09-15

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

Inclusion and Equal Opportunity Employment

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.