Senior Data Scientist, (Global Security) at Royal Bank of Canada

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

16 Oct, 26

Salary

0.0

Posted On

18 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning, Natural Language Processing, Predictive Analytics, Python, PySpark, Anomaly Detection, Feature Learning, Statistical Modeling, Data Visualization, Cyber Security

Industry

Financial Services

Description

Job Description What is the opportunity? We have an exciting opportunity in Global Security! 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 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: 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: 2026-07-21 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. 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. 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.

Responsibilities

Design and deploy advanced machine learning solutions to detect and anticipate digital and cyber threats for intelligent defense systems. Collaborate with stakeholders to transform large datasets into actionable insights and automate complex security operations.