Job Description
RBC, one of Canada's largest and most respected employers, is seeking a Data Scientist, Advanced People Analytics to join our innovative HR Data Science and AI Solutions team. We're pushing the boundaries of people analytics through cutting-edge AI/ML prototyping, traditional machine learning, and deep analytical exploration.
You're a technically versatile data professional who thrives at the intersection of experimentation and production. You're equally comfortable prototyping with Large Language Models (LLMs) and Model Context Protocol (MCP) as you are building XGBoost models or conducting deep-dive exploratory analyses. You can translate ambiguous business challenges into concrete technical solutions and communicate insights effectively through storytelling to HR stakeholders.
What will you do?
Prototype and experiment with emerging AI technologies including LLMs, generative AI, and MCP integrations to solve HR challenges
Conduct deep-dive exploratory analyses to uncover hidden patterns in workforce data and generate actionable insights
Support Data Scientists and ML Engineers in different phases of the AI/ML lifecycle including prototyping with AI and/or building traditional ML models (XGBoost, regression)
Facilitate the automation of business intelligence reports and dashboards, by creating and leveraging reporting and scheduling capabilities
Collaborate with team members to understand business problems, translate them into analytical approaches, and communicate findings through data storytelling
What do you need to succeed?
Must have:
Strong proficiency in Python for data analysis, ML, and automation (pandas, scikit-learn, matplotlib/seaborn)
Solid SQL skills for querying and transforming data across relational databases (Teradata, SQL Server, MySQL or similar)
Hands-on experience with machine learning models (regression, tree-based methods, classification) and statistical analysis
Experience working with large, complex datasets from multiple sources
Strong problem-solving skills and ability to translate business questions into analytical approaches
Excellent communication skills to explain technical concepts to non-technical stakeholders
Familiarity with data visualization tools (Tableau, Power BI) or libraries (Plotly, Seaborn)
Self-directed learner with curiosity about emerging AI/ML technologies
Nice-to-have:
Experience with LLMs, prompt engineering, or generative AI applications
Knowledge of MLOps practices and model deployment
Experience with cloud platforms (AWS, Azure, GCP) and modern data stacks (Snowflake, Databricks)
Understanding of API integration and Model Context Protocol (MCP)
Background in Computer Science, Statistics, Information Systems, Physics or related quantitative field
Experience with version control (Git) and collaborative development workflows
Knowledge of NLP techniques for text analytics
Please note: This posting is for a 4-months Summer 2026 Student placement with a start date of May 2026, and end date of August 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 August 2026 ; or
If you are not returning back to school (i.e. are graduating in August 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 January 16, 2026. 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
Job Skills
Communication, Computer Literacy, Detail-Oriented, Interpersonal Relationships, Listening Effectively, Personal Development, Personal InitiativeAdditional Job Details
Address:
180 WELLINGTON ST W:TORONTOCity:
TorontoCountry:
CanadaWork hours/week:
37.5Employment Type:
Full timePlatform:
HUMAN RESOURCES \& BMCCJob Type:
Student/Coop (Fixed Term)Pay Type:
SalariedPosted Date:
2025-12-13Application Deadline:
2026-01-18Note: 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.
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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.