Analyze, design and implement data science / machine learning (“ML”) solutions using RBC’s enterprise suite of analytics tools. Reviewing large data sets to explore and discover new insights that would have not been possible with traditional analytics. Leveraging leading edge technologies and capabilities, this role applies machine learning and statistical modelling techniques to help RBC US Wealth Management understand the changing business environment, discover new growth opportunities and determine where business improvements can be made. The role will collaborate with key business partners and stakeholders to understand business objectives/opportunities and problem statements in order to provide solutions that align to business needs that are actionable with a tangible outcome. Prepare and transform data (structured/non-structured). Develop and deploy ML solutions at scale. Prepare, integrate large and varied datasets and implement statistical and ML models using Python and R. Leverage visualization tools/packages to story-tell and to convey data-driven insights with actionable recommendations to key stakeholders. Quickly learn new methods, tools and technologies presented in research communities to implement, adapt and innovate. Effectively communicate findings to business partners and executives.