Lead Data Scientist - AI at RBC — NeverHard

What is the opportunity Wealth Management Data & AI is responsible for delivering a global data foundation and innovative AI capabilities across all of Wealth Management’s global businesses. We are looking to hire a seasoned Data Scientist to lead our AI development efforts. The role will be responsible for applying modern AI and data science techniques to deliver digital innovations for Wealth Management Canada. What will you do Provide technical leadership working with a team of data scientists and ML engineers to drive new and innovative AI solutions, delivering without close supervision. Lead the requirements discovery, research, and development for Data and AI digital capabilities for Wealth Management. Participate in the end-to-end development of high-impact AI solutions, from ideas to design, 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. Conduct research for a wide variety of applied data science projects, focusing on building real‑world applications that address operational business challenges. Become a technical subject matter expert, assist in the adoption of AI and enable data‑driven processes for the business, working closely with business teams to understand needs, translate use cases into technical problems, and iterate on solutions. What do you need to succeed Must Have 6+ years of 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 tuning, and model monitoring. Advanced proficiency in SQL and Python programming languages, hands‑on programming experience developing modular, robust, and scalable pipelines in Python. Experience with AI/ML infrastructure and model deployment for Gen AI applications in production environments and support for enterprise‑scale use cases. Strong foundation in ML and AI basics, knowledge of inference, fine‑tuning, model architectures, 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. Nice to Have Master’s or PhD Degree in computer science, engineering or related technical fields. Hands‑on experience 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. Experience using AWS SageMaker, S3, Snowflake, Airflow, Hadoop, PySpark. Familiar with JIRA, Confluence, Agile/Scrum development methodology. Ability to read and write in French is a plus. What’s in it for you 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 management 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 build close relationships with clients. Access to a variety of job opportunities across businesses and geographies. Diversity and Inclusion We believe in an inclusive workplace that welcomes diverse perspectives and strives to create an environment where all employees feel supported to perform at their best. We are an equal‑opportunity employer and welcome applicants from all backgrounds. #J-18808-Ljbffr