Lead Data Scientist, Next Best Action

About this role

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 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

• Master's in computer science, Computer Engineering or similar field.

• 4+ years of hands-on experience applying Machine Learning, preferably in Customer Marketing initiatives.

• Experience in executing end-to-end machine learning lifecycle.

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

• Experience with big ...