Lead Data Scientist - Next Best Action

Job Summary

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 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 operationalize state-of-the-art machine 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.

• Continuously validate and improve AI model performance to deliver innovative, scalable solutions.

• Research and evaluate emerging technologies to drive innovation and maintain RBC'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

• Bachelor's degree in computer science, Computer Engineering or similar field with a Master's degree in relevant field.

• 5+ years of hands-on experience applying Machine Learning to Customer Marketing initiatives.

• Expertise in the machine learning lifecycle, including deep learning methods (e.g., Transformers, GANs, SHAP).

• Proficiency in Python and libraries like TensorFlow, PyTorch, and Scikit-learn.

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

• 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 using MLOps tools such as MLflow, Kubeflow, and Airflow (e.g., DAGs).

• Familiarity with financial services data and regulatory compliance.

• Expertise in running A/B experiments and causal inference methods.

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.

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Job Skills

Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)

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:

2025-07-02

Application Deadline:

2025-07-15

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

Inclusion and Equal Opportunity Employment

At 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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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.