Action Offres d'emploi - Canada

Job Description

What is the opportunity?

The Next Best Action (NBA) Machine Learning team of Personal Banking is seeking a seasoned, passionate and innovative Lead Data Scientist. In this role, you will lead efforts to solve complex AI/ML problems, analyze data, design solutions, and implement and monitor machine learning applications using cutting-edge tools and algorithms. Our mission is to remain at the forefront of the industry by enhancing client relationships and engagement through the execution of our NBA Strategy. To achieve this, we harness RBC’s extensive data assets and advanced AI capabilities to drive impactful client communications.

What will you do?

• Collaborate with RBC internal partners to define use cases and design tailored AI solutions that address business needs.

• Prepare, parse, and integrate large structured and unstructured datasets for model training and inference while ensuring data privacy and unbiased outcomes.

• Design, develop, and operationalizestate-of-the-artmachine learning models, including feature engineering, model deployment, monitoring, and maintenance.

• Lead the migration of models to cloud environments and expand the NBA System's marketing actions and machine learning capabilities.

• Continuouslyvalidateand improve AI model performance to deliver innovative, scalable solutions.

• Research and evaluate emerging technologies to drive innovation andmaintainRBC's leadership in AI-driven client engagement.

• Mentor junior data scientists and foster a collaborative, high-performing team environment.

What do you need to succeed?

Must-have

• Master'sin computer science, ComputerEngineeringor similar field.

• 4+ years of hands-on experienceapplyingMachine Learning,preferablyinCustomerMarketinginitiatives.

• Experience in executingend-to-endmachine learning lifecycle.

• Proficiencyin Python and libraries likePySpark, TensorFlow/PyTorch, and Scikit-learn.

• Experience with big data ecosystems (e.g., Hadoop/Spark) and cloud platforms (e.g.,AWS,Azure,GCP)

• Understanding and hands-on experienceof interpretabilitytools (e.g., SHAP).

• Proficiencyin writing and understanding complex SQL queries for data manipulation and feature engineering.

• Strong interpersonal and communication skills to convey technical insights to diverse audiences.

• Passion for ethical AI, including algorithm transparency and interpretability.

Nice to have

• Experience deploying machine learning models into production usingMLOpstools such asAirflow (e.g., DAGs),MLflow,andKubeflow.

• Familiarity with financial services data and regulatory compliance.

• Expertisein running A/Btestsand causal inference methods.

What’s In 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

• Opportunities to take on progressively greater accountabilities.

• Access to a variety of job opportunities across business and geographies.

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Job SkillsArtificial Intelligence (AI), Artificial Intelligence (AI), Automated Machine Learning (AutoML), Big Data Management, Commercial Acumen, Communication, Data Mining, Data Science, Data Science for Banking, Decision Making, Deep Learning, Leadership, Machine Learning (ML), Machine Learning Algorithms, Machine Learning Methods, Machine Learning Model Management, Marketing Campaigns, Natural Language Programming (NLP), Predictive Analytics, Problem Solving, PySpark, Python (Programming Language), Python Frameworks, Software Development, Statistical Machine Learning {+ 1 more}Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

PERSONAL & COMMERCIAL BANKING

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-04-15

Application Deadline:

2026-05-31Note: Applications 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.

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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.