Staff Data Scientist, (Global Security)
Royal Bank of CanadaRole Overview
Royal Bank of Canada is hiring a Staff Data Scientist, (Global Security). This is a full-time role in Toronto. Part of Royal Bank of Canada's Security hiring, posted 3 days ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Job Description
What is the opportunity?
Advanced data scientist who explores and analyzes datasets using pandas and Spark, conducting statistical inferences from basic parameter estimation to complex model building with sophisticated methods. Demonstrates strong command of Bayesian statistics and advanced statistical learning techniques while interpreting correlations and performing rigorous significance testing to distinguish meaningful results from noise. Transforms data across multiple formats including graph-based representations, applying critical thinking to solve ambiguous problems. Ships production-ready code with optimization and security considerations, leading PL08 data scientists in daily tasks while overseeing multiple projects and providing technical mentorship across teams.
What will you do?
Apply critical thinking to develop high-level approaches to vague problems Build complex statistical models using sophisticated parameter learning methods Write maintainable, optimized, and secure production code Ship code to production with optimization and security considerations Lead junior data scientists in day-to-day technical tasks Oversee multiple data science projects simultaneously Apply strong understanding of Bayesian statistics to analytical problems
What do you need to succeed?
Must Have
- Strong analytical abilities Strong understanding of foundational concepts
- Min 3 years of hands-on experience with Pyspark, Python, Scala Focused on data science but NLP exposure will be recommended. Supervised/ Unsupervised Machine Learning, Anomaly detection, Bayesian statistics.
Nice to Have
- Experience coming from Cyber security background.
- Has a good understanding and implementation of LLM tools.
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
- Opportunities to take on progressively greater accountabilities
- Opportunities to building close relationships with clients
- Access to a variety of job opportunities across business and geographies.
#LI-Post
Job Skills
Analytics, Big Data Management, Collaboration, Data Mining, Data Science, Decision Making, Machine Learning (ML), Natural Language Processing (NLP), Natural Language Programming (NLP), Predictive Analytics, Problem Solving, PySpark, 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:
2026-06-02
Application Deadline:
2026-06-16
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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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.
Frequently Asked Questions
How do I apply for the Staff Data Scientist, (Global Security) position at Royal Bank of Canada?
Use the Apply button above to submit your application directly to Royal Bank of Canada. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Staff Data Scientist, (Global Security) position at Royal Bank of Canada located?
This position is based in Toronto. Royal Bank of Canada has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Staff Data Scientist, (Global Security) at Royal Bank of Canada earn?
Royal Bank of Canada has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Staff Data Scientist, (Global Security) role at Royal Bank of Canada posted?
This role was posted on June 3, 2026 (3 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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