Senior Data Scientist at RBC Global Asset Management

Mississauga, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

26 Feb, 26

Salary

0.0

Posted On

28 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Big Data Management, Data Mining, Data Science, Deep Learning, Machine Learning, Predictive Analytics, Programming Languages

Industry

Description

Job Description What is the opportunity? RBC's Advice Centre Data Analytics team extracts powerful insights from comprehensive advice center datasets using advanced NLP, machine learning, and Generative AI. We build innovative services and products that transform advisor-client interactions by mining conversation data, transaction patterns, and engagement metrics. This role focuses on developing AI-powered data products and services. You'll create analytical solutions that optimize advice delivery and directly impact how millions of Canadians receive financial guidance. What will you do? Execute machine learning strategy and lead MLOps implementation Identify workload drivers and understand client experience through data analytics Design and develop advanced data products using state-of-the-art NLP/ML methodologies Explore, train, fine-tune, and evaluate machine learning models Support daily operations by applying NLP/ML expertise to business projects and inquiries Ensure model performance, compliance, and risk reduction across all solutions Extend capabilities to French language to meet regulatory requirements Research latest NLP/ML trends and provide strategic recommendations for business use cases What do you need to succeed? Must have: Strong data, analytical, quantitative method and problem-solving skills Expertise in analyzing and manipulating large datasets with Python Experience developing and applying NLP/ML models in enterprise environments Bachelor of Computer Science or equivalent Nice to have: Master of Data Science or equivalent Familiarity with cloud environments 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 do challenging work Job Skills Big Data Management, Data Mining, Data Science, Deep Learning, Machine Learning, Predictive Analytics, Programming Languages Additional Job Details Address: MEADOWVALE BUSINESS PARK, 6880 FINANCIAL DR:MISSISSAUGA City: Mississauga Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: PERSONAL & COMMERCIAL BANKING Job Type: Regular Pay Type: Salaried Posted Date: 2025-11-25 Application Deadline: 2025-12-10 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. 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.

Responsibilities

The role involves executing machine learning strategies and leading MLOps implementation while designing and developing advanced data products using state-of-the-art NLP/ML methodologies. Additionally, it focuses on optimizing advice delivery and enhancing client experiences through data analytics.