RBC

Domain Data & AI Scientist, Personal and Commercial Operations

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO Full time

Job Description

What’s the opportunity?

We are looking for a talented and innovative Domain Data & AI Scientist to join our Personal and Commercial Operations Data and AI team. This role is ideal for someone who excels at combining domain expertise with advanced data science and AI techniques to drive impactful business outcomes. You will play a key role in leveraging data and AI to optimize operations, enhance decision-making, and deliver value to our customers.

What will you do?

  • Collaborate with cross-functional teams, IT, and business partners to identify opportunities and deliver AI and data science solutions
  • Work closely with stakeholders to ensure data-driven insights are integrated into business strategies and workflows
  • Analyze large datasets to uncover actionable insights that drive operational efficiency and improve customer outcomes.
  • Provide expertise in AI and data science to support decision-making and solve complex business challenges
  • Stay informed about the latest advancements in AI, data science, and industry trends to ensure innovative and impactful solutions
  • Effectively communicate findings and recommendations to both technical and non-technical stakeholders

What will you need to succeed? 

Must-have

  • Strong expertise in data science and machine learning, with hands-on experience in Python, SQL, or similar tools
  • Proven ability to collaborate on the design and delivery of AI models for real-world applications
  • Deep understanding of personal and commercial operations, including key challenges and opportunities
  • Strong analytical and problem-solving skills, with the ability to work with complex datasets
  • Excellent communication skills to convey technical concepts to non-technical stakeholders

Nice-to-have

  • Advanced degree (Master’s or Ph.D.) in Data Science, AI, Operations Research, or a related field

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.

  • Ability to make a difference and lasting impact.
  • Work in a dynamic, collaborative, progressive, and high-performing team.
  • Opportunities to take on progressively greater accountabilities

Job Skills

Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning (ML), Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)

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:

2026-04-30

Application Deadline:

2026-05-14

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.

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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.