Lead Data Scientist

Job Description
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 techniques to deliver digital innovations for Wealth Management Operations

What will you do?

• Provide technical leadership working with a team of data scientists and data engineers to drive new and innovative AI solutions, 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 Data Engineers and business stakeholders to deliver state of the art ML foundational capabilities, and customized agentic AI products to support field advisors across RBC global offices
• Conduct research on 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

What do you need to succeed?
Must Have

• 5+ 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, 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
• Familiar with Fraud Risks monitoring in large enterprise financial institutions
• 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
• Experience using AWS Sagemaker, S3, Snowflake, Airflow, Hadoop, PySpark
• Familiar with JIRA, Confluence, Agile/Scrum development methodology

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 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.

Job Skills
Artificial Intelligence (AI), Data Engineering, Data Science, Fraud Monitoring, Generative AI, Machine Learning (ML), Python (Programming Language), Structured Query Language (SQL)

Additional Job Details
Address:
180 WELLINGTON ST W:TORONTO

City:
Toronto

Country:
Canada

Work hours/week:
37.5

Employment Type:
Full time

Platform:
WEALTH MANAGEMENT

Job Type:
Regular

Pay Type:
Salaried

Posted Date:

Application Deadline:

Note
:
Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
I
*nclusion*
and Equal Opportunity Employment
At 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.

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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.