Data scientist

Overview  Staff Data Scientist, Global Security — RBC Dominion Securities
Posted October 29, 2025
Job details  What is the opportunity? We have an exciting opportunity in Global Cyber Security. As a Staff Data Scientist in our team, you will lead the development and deployment of advanced machine learning models to proactively identify and mitigate evolving digital and cyber threats. You will collaborate closely with cross-functional teams to translate complex technical insights into actionable strategies, driving significant business impact and safeguarding RBC clients and data.

Data Science allows us to identify trends, anticipate malicious behaviors, perform pattern matching, discover new threats, and predict the outcomes of future events. Working as part of the Security Insights and AI, you'll specialize 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, you will apply machine learning and statistical modelling techniques to help RBC to proactively defend its digital information.
What will you do?
Work closely with stakeholders to understand their needs and build solutions using advanced machine learning methods in the domains of fraud, cybersecurity, and data privacy
Design and implement end-to-end data pipelines: from data cleaning to model development to writing production level code
Lead complex data science projects from inception to completion
Quickly learn new methods, big data tools and technologies presented in research communities to implement and adapt within our data products and models
Collaborate proactively with various business and operation units to design innovative solutions to optimize processes and deploy production-scale solutions
Work on challenging and research-based initiatives using advanced machine learning methods focusing on tangible outcomes
Mentor and guide junior data scientists
What you need to succeed   Must have:
Advanced degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Engineering) with a strong theoretical foundation
Proven expertise in developing and deploying complex machine learning models, including deep learning architectures, for solving challenging problems
Highly proficient programming skills (Python, PySpark) and a deep understanding of statistical modeling, data mining techniques, and big data technologies
Demonstrated ability to translate complex technical concepts into actionable insights and communicate effectively with both technical and non-technical stakeholders
Passion for innovation and curiosity to explore emerging technologies and methodologies
Nice-to-have:
Previous experience in cybersecurity/fraud domains

Experience with MLOps to build end-to-end pipeline and deploying models in production

Experience with graph analytics

Experience with cloud platforms (AWS, Azure, GCP)
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
Location and terms

Location:

Toronto, ON

Work location:

On site
Salary: 29.74 to 64.90 hourly
Terms of employment:
Permanent employment, Full time
Starts as soon as possible
Vacancies: 1 vacancy
Source:
Career Beacon
Advertised until

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