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RBC

2025 Fall Student (12 month PEY) - Data & Machine Learning Engineer

Posted Yesterday
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In-Office
Toronto, ON
Internship
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Toronto, ON
Internship
Support operational activities and contribute to data and machine learning initiatives within the Next Best Action team using various technologies.
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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 12-month Student PEY 2025 placement with a start date of September 2025 and end-date of August 2026.

In order to be eligible for this 12-month Student position, you must be enrolled in a Professional Experience Year program and either:

  • Be returning back to school after the work term end-date of August 2026; or
  • If you are not returning back to school (i.e. are graduating in September2025/August 2026), 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 team here at RBC, which is part of the Personal Banking organization, is responsible for running day-to[1]day marketing campaigns and marketing experiments for our banking clients. Our Data Innovation team is the responsible for maintaining the ecosystem that runs daily that drives our NBA or “Next Best Action” initiative. Our ecosystem is a mix of big data pipelines, machine learning models, full stack (front-end and back-end) applications and microservices. We are looking for an intern to contribute and build upon the ecosystem with collaboration with our technology/business partners across the bank. In addition, we believe this is an awesome opportunity to learn about a different production system within the marketing sector, a unique blend of a start-up within a large organization, as well as an opportunity to learn and flex into different areas of the ecosystems or additional projects of interest.

What will you do?

  • Evolve the existing machine learning systems to be make machine learning processes scale to be quicker, more reliable and if applicable autonomous or semi-autonomous
  • Manage, optimize, oversee and monitor data & model pipelines as well as the UI and processes used to inform client campaigns decisions related to Next Best Action recommendations
  • You will play an integral role in engaging your critical thinking, time management and design skills within your team.

What do you need to succeed?

Must-have

  • Experience with Python, Scala or equivalent
  • Experience with SQL or similar
  • Experience shipping software in the one or more of the following areas: ○ Big data processing (Spark, Hadoop or equivalent) ○ Data Warehouses (Teradata, SQL Server, Postgres or equivalent) ○ Data Quality Engineering ○ Building and/or maintaining ML models
  • Designing solutions with the user's experience in mind
  • 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.

Nice-to-have

  • Experience with Cloud platforms (AWS, Google Cloud, Azure)
  • Experience with developing LLM and AI Agents
  • Experience with real-time streaming technologies
  • Experience with Airflow and other scheduling tools
  • Experience with other database technologies (noSQL, graph databases, vector databases etc.)
  • Experience with continuous integration and development tools
  • Development in mobile or web development
  • Experience in financial services industry with broad understanding of marketing, product management, sales, finance, pricing and risk management

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.

  • Leaders who support your development through coaching and managing opportunities.
  • Ability to make a difference and lasting impact.
  • Work in a dynamic, collaborative, progressive, and high-performing team.
  • Opportunities to do challenging work and make a difference.
  • Opportunities to build close relationships.

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:

2025-06-13

Application Deadline:

2025-06-20

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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Top Skills

AWS
Azure
GCP
Hadoop
Postgres
Python
Scala
Spark
SQL
SQL Server
Teradata

RBC Ottawa, Ontario, CAN Office

90 Sparks St., Ottawa, ON, Canada, K1P 5B4

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