Winter - ECCO, Data Intern
Job Description What is the opportunity?
Are you interested in the opportunity to work with Data and AI at RBC? By applying to this job posting, you will be considered for a co‑op role as a Data Analyst/Engineer with The Enterprise Chief Controls Office (ECCO). ECCO is a centralized first line of defense (1
LOD) group with the goal of embedding a culture of risk ownership and operational excellence to elevate the control environment. Our Practice Management Governance and Reporting team serves to drive reporting consistency and excellence of non-financial risk at the Enterprise level.
- Analyze, design, and deliver reporting solutions using RBC’s analytics tools (Tableau, databases, Python, etc.)
- Develop and enhance reporting dashboards that align with new business requirements
- Perform data reconciliation and validation checks to ensure report accuracy and consistency across platforms
- Support AI tool development initiatives through advanced analytics capabilities and prompt engineering
- Apply data warehouse concepts and methodologies to support scalable and efficient data architectures
- Be an active contributor to not only your individual team, but to the RBC development community
- Currently enrolled at a Canadian post‑secondary institution with a focus on data science, computer science, mathematics, statistics, machine learning
- Experience of relational databases and Data Management methodologies (ex. data modeling, automation, extract, transform, load)
- Experience of Data Visualization tools (Tableau/Power BI) to create charts & graphs, advanced formulas
- Programming skills for data analysis (ex. Python, SQL, VBA)
- Ability to perform complex data analysis on large volumes of data and present findings to stakeholders
- Excellent interpersonal and highly developed communication skills (verbal and written)
- Creative and analytical thinker who is self‑driven and capable of working in a fast‑paced environment
- Strong MS Office skills – Word, Outlook, Excel and Power Point
- Experience in AI (Ex. Product Owner/Development/Prompt Engineering)
- Proficient in building statistical and algorithmic models with complex and large datasets, including but not limited to: supervised statistical learning, clustering, natural language processing, recommendation systems, times‑series analysis, experimental design (A/B testing), data visualization, deep learning
- Ability to learn and absorb new concepts (in business and in systems) quickly and apply new knowledge
- Network and build lasting relationships with students from diverse backgrounds from across Canada
- Participate in fun events and gamification challenges to help build your career tool kit while enjoying a work‑life balance
- Leaders who support your development through coaching and learning opportunities
- Work in a dynamic, collaborative, progressive and highly performing team
- Ability to make a difference and lasting impact
- Enjoy a comfortable work environment with the option to dress casually
This posting is for a 4‑months Winter 2027 Student placement with a start date of January 2027, and end date of April 2027. 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 2027 ; or
- If you are not returning back to school (i.e. are graduating in April 2027), 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 Final date to receive applications is September 20, 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.
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