Data Scientist; Global Security

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.

• 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.

• Strong analytical abilities.
• Strong understanding of foundational concepts.
• Min 3 years of hands‑on experience with PySpark, Python, Scala.
• Focused on data science; NLP exposure recommended.
• Supervised/Unsupervised machine learning, anomaly detection, Bayesian statistics.

• Experience from a cyber‑security background.
• Good understanding and implementation of LLM tools.
• NLP experience.

• We thrive on 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.
• 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 build close relationships with clients.
• Access to a variety of job opportunities across business and geographies.

• Artificial Intelligence (AI)
• Big Data
• 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
• Teamwork

Address: 16 York St, Toronto

City:
Toronto

Country:
Canada

Work hours per week: 37.5

Employment type:

Full time

Platform:
Technology & Operations

Job type:
Regular

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.