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: CareerBeacon

Advertised until

2025-11-28

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