2026 Fall Student Opportunities Technology & Operations - Data Specialists, 8-12 months

Job Description

Job Description What is the opportunity? Are you interested in the opportunity to work as a Data Student at RBC for 8 or 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 8- 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 What’s in it for you? We thrive on the challenge to be our best, p

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