Senior Data Scientist

About Rbc

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.

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

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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Responsibilities

• 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.

Requirements

• 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).

Preferred

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

Benefits

• 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

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: 2026-11-02

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