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RBC

2025 Fall Student - Data Science Intern (4 months)

Sorry, this job was removed at 04:18 a.m. (EST) on Thursday, Jun 05, 2025
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Toronto, ON
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Toronto, ON

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Job Summary

Participates 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 Description

Please note: This posting is for a 4-month Student Fall 2025 placement with a start date of September 2025 and end-date of December 2025.

In order to be eligible for this 4-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 September/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?

Next Best Action (NBA) is a specialized group within RBC Personal Banking that combines, data, marketing, advanced analytics & AI to bring hyper personalization to all RBC clients across all client touchpoints. By leveraging RBC’s large data scale, artificial intelligence (AI), privileged loyalty program and partnerships, NBA has the ambition to bring the best of RBC to help clients achieve their financial goals, tailoring the experience for every client such that the message is perfectly timed, presented in path and personalized for that specific client need.   Embedded across Lines of Business and aligned with marketing, digital, and product teams, NBA is critical to deepening client relationships, increasing engagement, and enhancing how we show up for clients daily.

NBA is foundational in RBC’s Personal Banking strategy to deliver more value for all Canadians through simpler experiences, more thoughtful recommendations, and more holistic support. The team directly contributes to RBC’s ambition to Win for Tomorrow by enabling hyper-personalized journeys that are scalable, measurable, and powered by leading-edge analytics and AI innovation.

What will you do?

  • Design and evaluate campaign experiments and interpreting results to drive business impact
  • Experience working with cross-functional partners across data, marketing, product, and digital Interact with RBC internal partners and lines of businesses to gather requirements, help them frame their use cases and work with the senior Measurement & Analytics team members to design and propose solutions.
  • 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 with a focus on computer science, computer engineering, mathematics, statistics. preferably in third year or master’s degree study.
  • 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
  • Familiarity with advanced testing methodologies (e.g., uplift modelling, Bayesian methods, contextual bandits)
  • 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 Initiative

Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

City:

TORONTO

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

PERSONAL & COMMERCIAL BANKING

Job Type:

Student/Coop (Fixed Term)

Pay Type:

Salaried

Posted Date:

2025-05-23

Application Deadline:

2025-06-05

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Inclusion and Equal Opportunity Employment

At 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.

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