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IGM Financial Inc. is a leading wealth and asset management company in Canada, managing approximately $271 billion in assets. It offers financial planning and investment services to over two million Canadians through IG Wealth Management and Mackenzie Investments.
 
Founded in 1926, Investors Group is a key part of IGM’s business model, providing comprehensive wealth management services to Canadian financial advisors and their clients.
 
With a vision to inspire financial confidence, Investors Group is recognized as one of Manitoba’s Top Employers, Canada’s Top 100 Employers, and Best Diversity Employers, aiming to innovate the industry and support Canadians in achieving their financial goals.
 
Join our team to engage in continuous learning and skill development in a supportive environment. Experience the best of both worlds with our hybrid work environment, where you spend three days a week in the office, connecting, collaborating, and enjoying quality time with your amazing colleagues!  Our Values: Be better; we strive for improvement in everything we do. Be accountable; we foster clarity and are empowered to act responsibly. Be a team; we are united to drive collective impact to achieve our goals.
Position 
We are currently hiring an intern looking for a winter term position, January to April 2026.  Candidates in an undergraduate program that will be returning to school after the internship to be eligible to apply. This position is responsible for supporting the Data Science team in Analytics and Data Engineering tasks. The student will assist in developing datasets, models, and reports which are used to understand our business and meet strategic objectives. This position provides a great opportunity for a university student to gain practical experience in the fields of AI and Data Science. 
  
Responsibilities: 

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 

  
Requirements: 

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 

Familiarity with Tableau, Power BI, and/or other BI and reporting tools is a plus 

Exposure to cloud technologies (e.g. Google Cloud, Azure) is beneficial 

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 

 
To apply, please include a resume and transcripts (full unofficial version) by October 17, 2025, at 11:59 pm CST.
 
IGM is a diverse workplace committed to doing business inclusively – this starts with having a representative workforce! We encourage applications from all qualified candidates that represent the diversity present across Canada – including racialized persons, women, Indigenous persons, persons with disabilities, 2SLGBTQIA+ community, gender diverse and neurodiverse individuals, as well as all who may contribute to the further diversification of ideas.
 
IG is an accessible employer committed to providing a barrier-free recruitment experience. If you require an accommodation or this information in an alternate format at any stage of the recruitment process, please reach out to the Talent Acquisition team who will work with you to meet your needs.  
 
We thank all applicants for their interest in IG Wealth Management; however, only those candidates selected for an interview will be contacted.