Summer 2025 Student – Data Science Intern (8 months)

Job title: Summer 2025 Student – Data Science Intern (8 months)

Company: Royal Bank of Canada


Job description: Job SummaryParticipates in and supports the operational activities of a business unit. Applies experience and complete working knowledge of the job and policies/practices to perform a combination of routine tasks and varied administrative/operational assignments.Job DescriptionPlease note: This posting is for a 8-month Summer 2025 STUDENT placement with a start date of May 2025 and end-date of December 2025. In order to be eligible for this 8-month Student position, you must either:

• Be returning back to school after the work term end-date of December 2025; or
• If you are not returning back to school (i.e. are graduating in August 2025 /December 2025), but you require the 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.What is the opportunity?The Next Best Action (NBA) Machine Learning team of RBC Personal Banking is looking for a passionate and innovative Data Science Intern to expand our data science product suite as we strive to maintain our position as the industry leader in deepening client relationships and engagement through the implementation of NBA Strategy. To achieve these goals, we leverage diverse data sources and a suite of domain specific machine learning models that power our client communications. Our ecosystem is a mix of big data pipelines, machine learning models, full stack (front-end and back-end) applications and microservices which we believe will provide the intern with an awesome opportunity to gain experience with end-to-end tech stack and data science practices in a corporate banking environment.What will you do?

• Augment existing suite of NBA machine learning products including propensity, recommender and GenAI models with enhanced functionality and more efficient pipelines
• Interact with RBC internal partners and lines of businesses to gather requirements, help them frame their use cases and work with the senior ML team members to design and propose solutions.
• Contribute to the migration of existing and new models to a Cloud environment
• Assist in researching new capabilities and technologies to drive innovation

What do you need to succeed?Must-have

• Currently enrolled at a Canadian post-secondary institution (Undergrad completing 3rd year OR Master’s program), with a focus on computer science, computer engineering, mathematics, statistics.
• Strong Programming skills in Python or similar programming languages
• Experience or understanding of Relational Database (and SQL), and data visualization tools.
• Experience with data transformation, manipulation and diagnostic data analytics
• Strong problem-solving abilities with a keen attention to details and a passion for data-driven decision making.
• Basic understanding of machine learning models and its applications
• A curiosity and passion for continuous learning and helping others
• Excellent teamwork, communication and collaboration skills

Nice to have

• Working knowledge in building statistical and algorithmic models including but not limited to supervised statistical learning, clustering, natural language processing, recommendation systems, times-series analysis
• Knowledge of public cloud (Azure, AWS, GCP, OpenShift or equivalent) platforms and development of applications in them
• Experience with big data processes (Spark) including batch processing
• Experience with common machine learning/deep learning libraries Tensorflow, PyTorch, scikit-learn, Huggingface etc.
• Experience in financial services industry with broad understanding of marketing, product management, sales, finance, pricing or risk management is an asset

​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. In this role you will also:

• Leaders who support your development through coaching and managing opportunities
• Work in a dynamic, agile, collaborative, progressive and high performing culture
• Opportunities to do challenging work and make a difference
• Gain insights and build relationships to inform your career journey

Job Skills Communication, Computer Literacy, Detail-Oriented, Interpersonal Relationships, Listening Effectively, Personal Development, Personal InitiativeAdditional Job DetailsAddress: RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTOCity: TORONTOCountry: CanadaWork hours/week: 37.5Employment Type: Full timePlatform: PERSONAL & COMMERCIAL BANKINGJob Type: Student/Coop (Fixed Term)Pay Type: SalariedPosted Date: 2025-01-17Application Deadline: 2025-01-27Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date aboveInclusion and Equal Opportunity EmploymentAt RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.Join our Talent CommunityStay 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 .

Expected salary:

Location: Toronto, ON

Job date: Sun, 19 Jan 2025 08:23:06 GMT

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