Staff Data Scientist (Global Security)

rbc; Toronto; On-site; GBP 59,000 - 91,000; Full time

Benefits offered by this job

Bonuses

Flexible benefits

Stock options

Coaching & growth

Work-life balance

Challenging work

Job summary

RBC is seeking a Staff Data Scientist to lead ML model development for cybersecurity and fraud domains. You will build end‑to‑end data pipelines, mentor junior data scientists, and partner with cross‑functional teams to translate insights into actionable protections for clients and data.

The role demands advanced degrees in quantitative fields and strong Python/PySpark skills, with experience deploying complex ML systems and adapting research into production.

Qualifications

• Advanced degree in a quantitative field with strong theory.
• Proven expertise deploying ML models, including deep learning architectures.
• Strong Python and PySpark programming and data mining skills.
• Ability to translate complex concepts to technical and non‑technical audiences.

Responsibilities

• Lead ML model development and deployment to detect cyber threats and fraud.
• Design end‑to‑end data pipelines from data cleaning to production code.
• Manage complex data science projects from inception to delivery.
• Learn new methods and tools to apply research advances in production.
• Collaborate with business units to deploy scalable data products.

Skills

Advanced degree

ML model deployment

Python

PySpark

Statistical modeling

Education

Advanced degree in quantitative field

Tools

Big data technologies

Cloud platforms (AWS/Azure/GCP)

Job description

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 Joint Security Operations Center (JSOC), 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 do 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
• Flexible work/life balance options
• Opportunities to do challenging work
• Opportunities to take on progressively greater accountabilities
• Access to a variety of job opportunities across business

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: 2026-09-24

Application Deadline: 2026-10-23

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