Data Scientist at Clio, driving insights and ML solutions in legal AI. Collaborating with teams to leverage data for business growth.
About the role
- Director leading the Data Science team at RBC focused on AI and analytics innovations. Overseeing model development and ensuring data governance across distribution networks in Canada.
Responsibilities
- Join RBC as a Director to lead the Data Science team for the AI, Conversational Banking & Platforms team
- 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
- Implement solutions that enhance decision-making and client experience across RBC's distribution network
- Oversee the full lifecycle of AI and machine learning model development
- Establish comprehensive frameworks to ensure data quality, accessibility, and governance
- Collaborate with peer leadership and business units to identify high-value data science opportunities
- Provide strategic recommendations on emerging technologies, vendor partnerships, and technology investments
- Partner with the AI Product team to translate business requirements into data science solutions
- 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.
Requirements
- 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
- Advanced degree (Master's or PhD) in Computer Science, Statistics, Mathematics, or related field (Nice to Have)
- Track record of leading enterprise-wide digital transformation or data modernization initiatives (Nice to Have)
- Proven experience successfully developing, validating, and deploying machine learning models at scale in production environments (Nice to Have)
- Demonstrated knowledge of financial regulatory requirements and model governance standards (Nice to Have).
Benefits
- 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.
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