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.Job DescriptionAdvanced 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 robust 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 problemsWhat do you need to succeed?Must HaveStrong analytical abilities Strong understanding of foundational conceptsMin 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 HaveExperience 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 applicableLeaders who support your development through coaching and managing opportunitiesAbility to make a difference and lasting impactWork in a dynamic, collaborative, progressive,



and high-performing teamA world-class training program in financial servicesOpportunities to do challenging workOpportunities to take on progressively greater accountabilitiesOpportunities to building close relationships with clientsAccess to a variety of job opportunities across business and geographies.Job SkillsAnalytics, 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 DetailsAddress: 16 YORK ST:TORONTOCity: TorontoCountry: CanadaWork hours/week: 37.5Employment Type: Full timePlatform: TECHNOLOGY AND OPERATIONSJob Type: RegularPay Type: SalariedPosted Date: 2026-06-02Application Deadline: 2026-08-31NoteApplications will be accepted until 11:59 PM on the day prior to the application deadline date aboveOur Employment OpportunitiesAt 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. #J-18808-Ljbffr

📌 Staff Data Scientist, (Global Security) (Toronto)
🏢 RBC
📍 Toronto