Data Scientist
Listed on 2026-06-17
-
IT/Tech
Data Analyst, Data Scientist, Machine Learning/ ML Engineer, Data Science Manager
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.
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, Tensor Flow, PyTorch).
Strong problem-solving abilities, statistical knowledge, and experience with data visualization tools (e.g., Tableau, Power BI).
Experience with cloud platforms (AWS, Azure, GCP) is an asset.
Excellent communication, teamwork, and ability to explain complex concepts to diverse audiences.
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
Job Skills Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning (ML), Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)
Additional Job Details
Address:
WATERPARK PLACE, 20 BAY ST:TORONTO
City:
TorontoCountry:
CanadaWork hours/week:
37.5Employment Type:
Full timePlatform:
TECHNOLOGY AND OPERATIONSJob Type:
RegularPay Type:
SalariedPosted Date:
Final date to receive applications:
Note : Applications will be accepted until 11:59 PM on the day prior to the Final date to receive applications date aboveOur 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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