Data Scientist

rbc; Toronto; On-site; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Bonus program

Career development

Flexible benefits

Stock options

World-class training

Job summary

RBC in Toronto is seeking a Data Scientist to design, develop, and deploy machine learning models and analytical solutions that drive innovation in the Commercial and Small Business portfolio.

You'll analyze large datasets, collaborate with data engineers, product managers, and business stakeholders, and communicate findings with clear visualizations while ensuring data governance and quality.

Qualifications

• Bachelor's or Master's degree required in data science, CS, statistics, math, or related field.
• 3+ years of experience in data science, ML, or similar role.
• Proficiency with Python, R, SQL and ML frameworks (Scikit-learn, TensorFlow, PyTorch).
• Strong problem-solving, statistics, and data visualization skills (Tableau, Power BI).

Responsibilities

• Analyze large datasets to identify trends, patterns, and opportunities for business improvement.
• Develop and implement ML models and algorithms to address business problems.
• Collaborate with data engineers, product managers, and business stakeholders to translate requirements into insights.
• Communicate findings and recommendations to technical and non-technical audiences with clear visuals and reports.
• Ensure data quality, integrity, and governance compliance.
• Stay updated on emerging technologies and industry trends to improve analytics capabilities.

Skills

Actuarial Modeling

Big Data Management

Commercial Acumen

Data Mining

Data Science

Decision Making

Machine Learning

Natural Language Processing

Predictive Analytics

Python

Education

Bachelor's or master's degree in data science, Computer Science, Statistics, Mathematics, or a related field

Tools

Python

R

SQL

Tableau

Power BI

Scikit-learn

TensorFlow

PyTorch

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

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: Toronto Country: Canada
• Work hours/week: 37.5
• Employment Type: Full time
• Platform: TECHNOLOGY AND OPERATIONS Job Type: Regular Pay Type: Salaried
• Posted Date: 2026-09-18
• Application Deadline: 2026-09-22 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.