Staff Data Scientist, (Global Security)

JobCubby; Toronto; Hybrid; CAD 120,000 - 160,000; Full time

Benefits offered by this job

Total rewards program

Bonuses and flexible benefits

Stock options where applicable

World-class training program

Challenging work opportunities

Job summary

RBC in Toronto is seeking an advanced data scientist to explore datasets using pandas and Spark, build Bayesian models, and ship production-ready code while mentoring juniors. You will lead multiple projects across teams and contribute to secure, optimized analytics in the financial services environment.

Ideal candidates will have hands-on PySpark, Python, and Scala experience, plus ML expertise and NLP exposure.

Qualifications

• Min 3 years hands-on experience with PySpark, Python, Scala.
• Experience in supervised/unsupervised ML, anomaly detection, Bayesian statistics.
• NLP exposure recommended.

Responsibilities

• 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

Skills

PySpark

Python

Scala

Bayesian statistics

Machine Learning

NLP exposure

Analytical thinking

Tools

Pandas

Spark

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.

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:TORONTOCity:

TorontoCountry: Canada

Work hours/week:

37.5Employment Type:

Full timePlatform:

TECHNOLOGY AND OPERATIONSJob Type:

RegularPay Type:

SalariedPosted Date:

2026-06-02Application Deadline:

2026-09-15Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

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.

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.