Data Scientist
RBCCanada4 hours ago
Full-timeEngineering, Information Technology
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Job Description
What is the opportunity?
In this role, you will design and implement data science / machine learning solutions using RBC’s enterprise suite of AI and analytics tools. The group specializes in taking full advantage of large data sets to explore and discover new insights that would have not been possible with traditional analytics. Leveraging leading edge technologies and capabilities, the group applies generative AI, machine learning, and statistical modelling techniques to help RBC improve data controls, understand the changing business environment, discover new growth opportunities, and determine where improvements can be made.
What will you do?
Must Have
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
Artificial Intelligence (AI), Collaboration, Communication, Deep Learning Algorithms, Generative AI, Machine Learning (ML), Pandas Python Library, Predictive Analysis, Problem Solving, Python (Programming Language), Python Numpy, PyTorch, Scikit-Learn, Statistical Analysis, Structured Query Language (SQL), Vector Databases
Additional Job Details
Address:
BAY WELLINGTON TOWER, 181 BAY ST:TORONTO
City:
Toronto
Country:
Canada
Work hours/week:
37.5
Employment Type:
Full time
Platform:
CHIEF LEGAL & ADMIN OFFICE GRP
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2025-12-17
Application Deadline:
2026-01-03
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Inclusion and Equal Opportunity Employment
At 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.
Join our Talent Community
Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.
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</a/span>
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.
What is the opportunity?
In this role, you will design and implement data science / machine learning solutions using RBC’s enterprise suite of AI and analytics tools. The group specializes in taking full advantage of large data sets to explore and discover new insights that would have not been possible with traditional analytics. Leveraging leading edge technologies and capabilities, the group applies generative AI, machine learning, and statistical modelling techniques to help RBC improve data controls, understand the changing business environment, discover new growth opportunities, and determine where improvements can be made.
What will you do?
- Support the development and deployment of statistical / AI / ML solutions, working in a team of data scientists and data engineers.
- Collect, transform, and analyze large datasets (structured and unstructured) to extract insights, support model development, and enable predictive analytics.
- Validate, measure, and document model performance in accordance with business and stakeholder requirements.
- Collaborate with business partners to produce insights from business-defined requirements and hypotheses.
- Leverage visualization tools/packages to story-tell and to convey data-driven insights with actionable recommendations to business partners and key stakeholders.
- Quickly learn new methods, tools, and technologies.
Must Have
- Bachelor’s in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field.
- 1-2 years of experience delivering data-driven solutions using machine learning, AI, predictive analytics, and/or statistical modeling.
- Familiar with popular programming languages, libraries, and frameworks for data science (Python, SQL, pandas, numpy, sklearn).
- Experience in data visualization and communicating technical concepts to a non-technical audience.
- Excellent problem solving, collaboration, and organizational skills.
- Master’s or Ph.D. in a quantitative field.
- Experience with data extract, transform, and load processes on a variety of data types.
- Experience with generative AI, deep learning frameworks (PyTorch, TensorFlow), vector databases, and/or graph data.
- Knowledge of lifecycle of data science products from design to delivery.
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
- Opportunities to do challenging work
- Opportunities to take on progressively greater accountabilities
- Opportunities to building close relationships with clients
- Access to a variety of job opportunities across business and geographies.
Job Skills
Artificial Intelligence (AI), Collaboration, Communication, Deep Learning Algorithms, Generative AI, Machine Learning (ML), Pandas Python Library, Predictive Analysis, Problem Solving, Python (Programming Language), Python Numpy, PyTorch, Scikit-Learn, Statistical Analysis, Structured Query Language (SQL), Vector Databases
Additional Job Details
Address:
BAY WELLINGTON TOWER, 181 BAY ST:TORONTO
City:
Toronto
Country:
Canada
Work hours/week:
37.5
Employment Type:
Full time
Platform:
CHIEF LEGAL & ADMIN OFFICE GRP
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2025-12-17
Application Deadline:
2026-01-03
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Inclusion and Equal Opportunity Employment
At 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.
Join our Talent Community
Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.
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</a/span>
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.
Key Skills
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