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Added 10 mins ago
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Royal Bank of Canada

Staff Data Scientist - (Global Security)

Toronto, ON, M9W 0A4, Canada

Job type: Full-time
Apply by: Oct 23, 2026
Posting language: English
Posted: Sep 24, 2026

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Original job description

Job Description

What is the opportunity?

We have an exciting opportunity in Global Cyber Security!

As a Senior 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 behaviours, 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
A world-class training program in financial services
Flexible work/life balance options
Opportunities to do challenging work

#TechPj

Job Skills

Artificial Intelligence (AI), Big Data Analytics, Computer Science, Cybersecurity, Data Mining, Data Processing, Data Science, Decision Making, Deep Learning, Machine Learning (ML), Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language), Statistical Models, Structured Query Language (SQL)

Additional Job Details

Address:

330 FRONT ST W: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 programs intended to foster a workplace based on respect, belonging and opportunity for all.

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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.

Apply About employer

More about this job

Responsibilities

Lead the development and deployment of advanced machine learning models to identify and mitigate cyber threats. Collaborate with cross-functional teams to design end-to-end data pipelines and mentor junior data scientists.

Requirements

Requires an advanced degree in a quantitative field and proven expertise in machine learning and statistical modeling. Proficiency in Python, PySpark, and big data technologies is essential for this role.

Skills

Machine learning
Python
PySpark
Statistical modeling
Data mining
Big data technologies
Deep learning
Cybersecurity
Fraud detection
Data privacy
MLOps
Graph analytics
Cloud platforms
Data pipelines
Predictive analytics
Artificial intelligence

Benefits

Bonuses
Flexible benefits
Competitive compensation
Stock options
Training program
Flexible work/life balance

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Cybersecurity
Python
PySpark
Deep Learning
Data Science
Fraud Detection
Data Pipelines
Statistical Modeling
Big Data
MLOps
Graph Analytics
AWS
Azure
GCP
Data Mining
Predictive Analytics
Artificial Intelligence
Data Privacy
Quantitative Analysis
Computer Science
Mathematics
Statistics
Engineering
Financial Services
Risk Mitigation
Pattern Matching
Production-scale
Stakeholder Management
Innovation

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