2027 Winter Student Opportunities Technology & Operations - Data Specialists, 8-12 months

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, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual. 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 Required Documents: Cover letter, Resume and Academic Transcripts (unofficial are acceptable) in one PDF document Please ensure you submit these three documents in one PDF document under the “resume” section. Do not submit them separately. 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 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. EARLYTECHTALENT Job Skills Active Learning, Adaptability, Communication, Creativity, Interpersonal Relationships, Listening Effectively, Personal Development, Personal Initiative, Teamwork Additional Job Details Address: RBC CENTRE, 155 WELLINGTON ST W:TORONTO City: Toronto Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: TECHNOLOGY AND OPERATIONS Job Type: Student/Coop (Fixed Term) Pay Type: Salaried Posted Date: 2026-08-17 Application Deadline: 2026-09-20 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above Our Employment Opportunities At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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. Join our Talent Community Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. 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.

You will analyze, design, and implement analytic development projects using RBC's tools while applying data warehouse methodologies. You will also work within an agile team to deliver business value and identify innovative insights to support a data-driven organization.

Candidates must be currently enrolled in a Canadian post-secondary institution with a focus on data science, computer science, mathematics, statistics, or machine learning. You must possess strong programming skills in Python or R, experience with data visualization tools, and excellent communication abilities.

• Networking opportunities • Coaching and learning opportunities • Work-life balance • Casual dress code

• Data visualizationPreferred
• SQLPreferred
• TableauPreferred
• LeadershipPreferred
• Data analysisPreferred
• Machine learningPreferred
• CommunicationPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Data analysis
• Data science
• Python
• R
• SQL
• VBA
• Hadoop
• Tableau
• Splunk
• Machine learning
• Data visualization
• Statistical modeling
• Natural language processing
• Experimental design
• Communication
• Leadership
• Domain Knowledge
• Workplace Inclusivity
• Analytical Thinking
• Data Types
• Microsoft Excel
• A/B Testing
• Active Learning
• Adaptability
• Agile Methodology
• Analytics
• Data Analysis
• Computer Science
• Creativity
• Data Extraction
• Data Visualization
• Data Warehousing
• Relational Databases
• Dynamic Business Process Management
• Gamification
• R (Programming Language)
• Apache Hadoop
• Innovation
• Python (Programming Language)
• Machine Learning
• Mathematics
• Microsoft Outlook
• Microsoft Office
• Natural Language Processing (NLP)
• Open-Source Software
• Operations
• Microsoft PowerPoint
• Coaching
• SQL (Programming Language)
• Statistical Learning Theory

• Data & Analytics
• Technology
• Software
• Finance & Accounting
• Technology Operations Specialist
• Data Specialist
• Database Designers and Administrators
• Data Warehousing Specialists
• Database Architects

Minimum education

Bachelor’s degree

Minimum experience

0+ years

Apply by

Sep 20, 2026

Posting language

English

Working hours

38 hours per week