Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Data Scientist role.
Rezi rewrites your resume against RBC's job description. Free.
Tailor your resume to this Data Scientist role.
Rezi rewrites your resume against RBC's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Data Scientist posting at RBC — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Data Scientist posting at RBC — free, in seconds.
About the Role
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.
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).
- Experience with cloud platforms (AWS, Azure, GCP) is an asset.
- Excellent communication, teamwork, and ability to explain complex concepts to diverse audiences.
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)
Location
- WATERPARK PLACE, 20 BAY ST:TORONTO
- Toronto
- Canada
Work Type
- Full time
Experience Level
- 3+ years
Education Level
- Bachelor’s or master’s degree in data science, Computer Science, Statistics, Mathematics, or a related field.
Benefits
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
About the Company
- 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.