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Lead Data Scientist - AI

RBC

Toronto

On-site

CAD 90,000 - 120,000

Full time

Today
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Job summary

A leading financial institution in Toronto is seeking a seasoned Data Scientist to lead AI development efforts in Wealth Management. The ideal candidate will have 5+ years of experience in machine learning and be proficient in Python and SQL. Responsibilities include leading a team, developing AI solutions, and collaborating with engineering teams to deliver innovative capabilities. This role offers competitive compensation and opportunities for professional growth.

Benefits

Comprehensive Total Rewards Program
Competitive compensation
World-class training program in financial services

Qualifications

  • 5+ years of experience in developing high-impact machine learning solutions.
  • Advanced proficiency in SQL and Python.
  • Hands-on experience with AI/ML infrastructure.

Responsibilities

  • Provide technical leadership to a team of data scientists.
  • Lead requirements discovery and develop new Data and AI capabilities.
  • Conduct research on applied data science projects.

Skills

Machine Learning
Data Analysis
Python Programming
SQL
AI Infrastructure

Education

Master’s or PhD Degree in computer science, engineering or related fields

Tools

AWS Sagemaker
TensorFlow
PyTorch
Scikit-Learn
Snowflake
Job description
Overview

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

Responsibilities
  • 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
Qualifications

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.

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Inclusion 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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