Mackenzie Investments is part of IGM Financial Inc., a leading wealth and asset management company in Canada. The role involves supporting the Data Science team in Analytics and Data Engineering tasks, providing an opportunity for a university student to gain practical experience in the fields of AI and Data Science.
Designing and developing relevant datasets, reports and analysis for operational and strategic initiatives
Work with data from multiple sources and databases (manipulate data, prepare data for machine learning)
Analyze structured and unstructured data, organize findings and translate into actionable insights
Learn various modelling approaches and understand how to evaluate best performance considering model metrics and appropriateness for business interpretation
Collaborate closely with relevant teams to ensure models/solutions can be deployed
Participate in the development, testing, implementation, documentation and continuous improvement of datasets and data models as a member of the Data Science team
Qualification
Required
Currently enrolled in a post-secondary program in Data Science, Computer Science, Management Analytics, Statistics or a similar field
Knowledge of SQL, Python, and Git
Good critical thinking skills – conceptualizing, analyzing, synthesizing, and evaluating
Willingness to learn how to develop code as part of a team, including clear documentation and code reviews
Preferred
Familiarity with Looker, Tableau, Power BI, and/or other BI and reporting tools is a plus
Exposure to cloud technologies (e.g. Google Cloud, Azure) is beneficial
Benefits
Paid time off
Mackenzie Investments is an investment management firm that provides investment advisory and related services. It is a sub-organization of IGM Financial.