2027 Winter - ECCO, Data Intern (4 Months)

RBCToronto, ON
Hybrid

About The Position

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 (1LOD) 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.

Requirements

  • 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 PowerPoint

Nice To Haves

  • 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

Responsibilities

  • 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

Benefits

  • 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
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