2025 Fall Student Opportunities Technology Operations - Data Specialists, 12 Months

Are you interested in the opportunity to work as a Data Student at RBC for 12 Months? By applying to this job posting, you will be considered for multiple roles available across RBC Technology Operations.


Some exciting roles you’ll be considered for are:

Data Analyst

Data Scientist


Please only apply to this posting if you are eligible to complete a full 12-months co-op term with your school.

What will you do?

Analyze, design, deliver, and implement analytic development projects, with the use of RBC’s analytics tools

Ensure that project activities are accomplished within approved time frames, scope, and budgets

Apply data warehouse concepts and methodologies to various projects

Utilize the latest technologies available, designing and building data solutions to meet business needs

Be an active contributor to not only your individual team, but to the RBC development community

Constantly seek out better ways to do things, new tools, new technologies, new processes

Work on transformational projects delivering new value

Work as part of an agile team responsible for end-to-end delivery of business needs

Use business domain knowledge to independently lead the analytics process to identify valuable and innovative insights

Promote analytics across the enterprise to enable RBC to become a data-driven organization


What do you need to succeed?

Must-have

Currently enrolled at a Canadian post-secondary institution with a focus on data science, computer science, mathematics, statistics, machine learning

Leadership acumen and a passion to apply it in a dynamic business environment

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

Experience or understanding of open-source software frameworks (Hadoop), data visualization tools (Tableau and Splunk), and databases (SQL and/or VBA)

Programming skills in one or more languages (ex. Python, R)

Ability to data extract, transform, and load processes with a variety of data types

Ability to perform complex data analysis on large volumes of data and present findings to stakeholders

Strong MS Office skills – Word, Outlook, Excel and PowerPoint


Nice-to-have

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

Knowledge of design, development, and implementation utilizing current analytics technologies and architecture, as well as data warehouse concepts and methodologies

Relational database concepts and design experience

Ability to learn and absorb new concepts (in business and in systems) quickly and apply new knowledge Read more