The role involves leveraging large datasets and advanced AI techniques to discover new insights and improve business outcomes at RBC
Job Summary
The role involves leveraging large datasets and advanced AI techniques to discover new insights and improve business outcomes at RBC.
Candidates will work in a dynamic, collaborative team to develop and deploy statistical, AI, and machine learning models that support predictive analytics.
RBC offers a comprehensive Total Rewards Program, flexible work/life balance options, and opportunities for professional development in a progressive and high-performing environment.
Matching Summary
The role involves leveraging large datasets and advanced AI techniques to discover new insights and improve business outcomes at RBC.
Skills & Requirements
Must-have
Machine learning and AI solutions
Data transformation and analysis
Python programming and libraries
Data visualization and storytelling
Collaborative team environment
Nice-to-have
Generative AI and deep learning frameworks
Experience with ETL processes
Knowledge of data science product lifecycle
Use of vector databases and graph data
Key Requirements
Bachelor’s degree in quantitative field
1-2 years experience in data-driven solutions
Experience with Python, SQL, pandas, numpy, sklearn
Ability to communicate technical concepts to non-technical audiences