Lead Data Scientist - AI
RBC is hiring a Lead Data Scientist - AI in Toronto, Canada. Level rates it ; you can apply on Level.
AI in this role
Lead Data Scientist to drive innovative AI and machine learning solutions, focusing on generative AI and agentic products for wealth management.
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 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, 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
What do you need to succeed?
Must Have
- 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, 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 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
- Ability to read and write in French is a plus
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.
#LI-Post
#LI-PK
#TECHPJ
Job Skills
Artificial Intelligence (AI), Data Engineering, Data Science, Generative AI, Machine Learning (ML), Model Deployment, Natural Language Processing (NLP), Python (Programming Language), Structured Query Language (SQL)Additional Job Details
Address:
RBC CENTRE, 155 WELLINGTON ST W:TORONTOCity:
TorontoCountry:
CanadaWork hours/week:
37.5Employment Type:
Full timePlatform:
WEALTH MANAGEMENTJob Type:
RegularPay Type:
SalariedPosted Date:
2026-06-15Application Deadline:
2026-10-28Note: 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.
Join our Talent Community
Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.
Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.
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.
How we rate this
Lead Data Scientist - AI at RBC rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical data scientist job
- $168k
This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- Tell me about a project where machine learning was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, Fine-tuning, NLP, and Machine learning. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.
Get new data scientist jobs (Builds AI ●●●●) by email
One email a week with the new data scientist jobs (Builds AI ●●●●), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Data roles that build AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step