Job DescriptionWhat is the opportunity? As a Senior Data Scientist on our Security Insights and AI team, you will contribute to building RBC's next-generation intelligent defense systems. You will design and deploy advanced machine learning solutions that anticipate and detect digital and cyber threats. Leveraging cutting-edge AI techniques, statistical modeling, and large-scale data analytics, you'll work to deliver enterprise-grade threat detection systems that automate complex security operations, accelerate our defensive readiness, and set new standards for digital protection and organizational resilience.
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.
What do you need to succeed? Must Have - A passion for learning and solving problems
- At least an undergraduate degree (Ph.D. or Masters preferred) in a quantitative field (Engineering, Statistics, Mathematics, Computer Science, Economics, Sociology, Psychology etc.)
- 2 years of experience with advanced programming skills (python, pyspark) and experience in developing machine learning models using supervised and unsupervised approaches; experience with data preprocessing, feature and representation learning, anomaly/outlier detection
- Strong data sense, critical thinking, and technical documentation skills
- Strong communication skills with ability to work cross-functionally to articulate, measure and solve issues
Nice to Have - Experience with generative AI, deep learning frameworks (e.g., PyTorch), vector databases, and/or graph analytics.
- Knowledge of the lifecycle of data science products from design to delivery.
- Familiarity with concepts in cyber security
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
- Opportunities to do challenging work
#LI-Post
Job SkillsActuarial 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 DetailsAddress:16 YORK 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:2026-06-09
Application Deadline:2026-06-30
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
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.
