Lead Data Scientist - AI - RBC, Toronto

Role overview

Wealth Management Data and AI is responsible for delivering a global data foundation and innovative AI capabilities across all of Wealth Management's global businesses. RBC is looking to hire a seasoned Data Scientist to lead AI development efforts for Wealth Management Canada. This opportunity involves applying modern AI and data science techniques to deliver digital innovations, supporting field advisors across RBC Wealth Management offices.

Responsibilities

As part of the technology team in Toronto, you will take ownership of end-to-end AI initiatives and collaborate closely with business stakeholders and engineers:

• Provide technical leadership working with a team of data scientists and ML engineers to drive new and innovative AI solutions, with the ability to deliver without close supervision.
• Lead the requirements discovery, research, and development for a series of new Data and AI digital capabilities for Wealth Management.
• Participate in the end-to-end development of high-impact AI solutions, from ideas to design, and PoC to production deployment.
• Collaborate with ML Engineers and business stakeholders to deliver state of the art AI foundational capabilities, and customized agentic AI products to support field advisors across RBC Wealth Management offices.
• Conduct research for a wide variety of applied data science projects, with focus on building real-world applications that address operational business challenges.
• Become a technical subject matter expert, assist in the adoption of AI and enabling data driven process for the business, working closely with business teams to understand their needs, translate business use cases into practical technical problems, and iterate on solutions.

Who we're looking for

To succeed in this Toronto technology career opportunity, applicants must meet the following mandatory qualifications, while additional technical skills are considered a strong asset:

• 6+ years of work experience developing high-impact machine learning solutions in a fast-paced environment.
• Proven ability to apply data science and statistical techniques to solve real world business problems.
• Proficient in building and maintaining models, model tunings, and model monitoring.
• Advanced proficiency in SQL and Python programming languages, hands-on programming experience developing modular, robust, and scalable pipelines in Python.
• Experienced with AI/ML infrastructure and model deployment for Gen AI applications in production environments and supporting enterprise-scale use cases.
• Strong foundation in ML and AI basics, knowledge of Inferencing, fine-tuning, model architectures, and Embeddings.
• Hands-on experience implementing solutions using modern ML and Deep Learning frameworks, such as PyTorch, TensorFlow, Scikit-Learn, or Hugging Face Transformers.
• Familiar with software engineering industry best practices, including coding standards, testing methods, code reviews, and version control.
• Master’s or PhD Degree in computer science, engineering or related technical fields (Nice to Have).
• Hands-on experiences prototyping Gen AI applications, including working with foundational LLMs and transformer models, agentic frameworks, vector databases, prompt engineering, designing and refining modular RAG to optimize LLM outputs (Nice to Have).
• Experience using AWS Sagemaker, S3, Snowflake, Airflow, Hadoop, PySpark (Nice to Have).
• Familiar with JIRA, Confluence, Agile/Scrum development methodology (Nice to Have).
• Ability to read and write in French is a plus.

Why you'll love it here

Working at RBC provides access to incredible professional growth, collaborative environments, and extensive rewards:

• 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.