Level

RBC

Data Scientist

AI in this role

pytorchtensorflowscikit-learn

Job Description

WHAT IS THE OPPORTUNITY? 

Our clients are unique and their digital banking experience should be one-of-a-kind. RBC commercial credit products and services strive to empower our clients when they interact with us. Our team is designed to deliver products throughout the client’s journey, not projects; each lab is setup for agility and continuous delivery. 


We are seeking a talented Data Scientist to join our team at RBC, where you will leverage data-driven insights to solve complex business challenges. In this role, you will design, develop, and deploy machine learning models and analytical solutions that drive innovation and strategic decision-making across the organization. You’ll be working to develop new and extend existing applications in the RBC Commercial and Small business portfolio. 


WHAT WILL YOU DO?

  • Analyze large datasets to identify trends, patterns, and opportunities for business improvement.
  • Develop and implement machine learning models and algorithms to address specific business problems.
  • Collaborate with cross-functional teams (e.g., data engineers, product managers, business stakeholders) to translate requirements into actionable insights.
  • Communicate findings and recommendations to both technical and non-technical audiences through clear visualizations and reports.
  • Ensure data quality, integrity, and compliance with RBC’s data governance standards.
  • Stay updated on emerging technologies and industry trends to continuously improve analytical capabilities.

WHAT DO YOU NEED TO SUCCEED?

Must have:

  • Bachelor’s or master’s degree in data science, Computer Science, Statistics, Mathematics, or a related field.
  • 3+ years in data science, machine learning, or a similar role.
  • Proficiency in programming languages (Python, R, SQL) and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
  • Strong problem-solving abilities, statistical knowledge, and experience with data visualization tools (e.g., Tableau, Power BI).

Nice-to-have:  

  • Experience with cloud platforms (AWS, Azure, GCP) is an asset.
  • Excellent communication, teamwork, and ability to explain complex concepts to diverse audiences.

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.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
  • 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
  • A world-class training program in financial services
  • Flexible work/life balance options
  • Opportunities to do challenging work

#LI-POST

#TechPJ

Job Skills

Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

Additional Job Details

Address:

WATERPARK PLACE, 20 BAY ST:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-09-23

Application Deadline:

2026-09-28

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.

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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.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

How we score this

Data Scientist at RBC scores 25 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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Skills and AI tools this role asks for

PyTorchTensorFlowscikit-learn

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  3. What are the limits of scikit-learn that you've run into, and how did you work around them?

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