Director, Data Science at Royal Bank of Canada

Mississauga, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

11 Sep, 26

Salary

0.0

Posted On

13 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Artificial Intelligence, Big Data Management, Data Mining, Data Science, Decision Making, Machine Learning, Model Development, Natural Language Processing, Predictive Analytics, Python, Statistical Analysis, Deep Learning, Data Governance, Model Risk Management, Regulatory Compliance, Strategic Leadership

Industry

Financial Services

Description

Job Description What is the opportunity? Join RBC as a Director to lead the Data Science team for the AI, Conversational Banking & Platforms team. This visionary role will drive transformational change across the distribution network through advanced analytics and innovative AI modeling solutions. Lead a high-performing team transforming rich data into AI capabilities while implementing solutions that enhance decision-making and client experience across RBC's distribution network. What will you do? Lead, mentor, and develop a high-performing team of data scientists and model developers, fostering professional growth and career advancement Oversee the full lifecycle of AI and machine learning model development, from experimentation and validation through production deployment and optimization Establish comprehensive frameworks to ensure data quality, accessibility, and governance across the distribution network Collaborate with peer leadership and business units to identify high-value data science opportunities aligned with strategic priorities Provide strategic recommendations on emerging technologies, vendor partnerships, and technology investments to maintain competitive advantage Partner with the AI Product team to translate business requirements into data science solutions that deliver measurable value Work across technology and data engineering teams to ensure scalable, reliable, and maintainable model deployment in production environments Cultivate an organizational culture that prioritizes innovation, cross-functional collaboration, and continuous learning What do you need to succeed? Must Have Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related quantitative discipline 10+ years of progressive experience in data science, artificial intelligence, and/or advanced analytics Expertise in machine learning, deep learning, natural language processing, and AI techniques Demonstrated expertise leading high-performing technical teams while maintaining hands-on proficiency in analytics and modeling Deep understanding of data governance principles, model risk management frameworks, and regulatory compliance requirements Strong business acumen and ability to translate technical concepts into business value and strategic impact Nice to Have Advanced degree (Master's or PhD) in Computer Science, Statistics, Mathematics, or related field Track record of leading enterprise-wide digital transformation or data modernization initiatives Proven experience successfully developing, validating, and deploying machine learning models at scale in production environments Demonstrated knowledge of financial regulatory requirements and model governance standards 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 take on progressively greater accountabilities. Job Skills Artificial Intelligence (AI), Big Data Management, Data Mining, Data Science, Decision Making, Machine Learning (ML), Model Development, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language), Statistical Analysis 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: 2026-06-12 Application Deadline: 2026-06-30 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above Our Employment Opportunities 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. Join our Talent Community Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. 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. 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.

Responsibilities

Lead the Data Science team for AI, Conversational Banking & Platforms to drive transformational change through advanced analytics and AI modeling. Oversee the full lifecycle of machine learning model development and collaborate with business units to implement scalable AI solutions.