Winter Intern 2027 - Data Science (Winnipeg Office)

IGM Financial Inc. is a leading wealth and asset management company in Canada, managing approximately $310 billion in assets as of December 31, 2025. It offers financial planning and investment services to over two million Canadians through IG Wealth Management and Mackenzie Investments. Founded in 1926, IG Wealth Management 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, IG Wealth Management 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 2027, in our Winnipeg office. Candidates must be enrolled in an undergraduate program and plan to return to school after completing the internship to be eligible to apply. This is a full-time position requiring 37.5 hours per week, Monday through Friday. Candidates must be eligible to work full-time for the entire duration of the program. 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 Review business processes to identify opportunities for improvement, including leveraging AI 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 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 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 September 20, 2026, at 11:59 pm CST. The expected annual base salary range (prorated for the term) for this role is $44,000 - $47,000, which is determined based on year of study, IGM program, geographic location and candidate’s skills, knowledge and experience. In addition to base salary, this role is eligible for paid time off. 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. How to Apply: Interested candidates are invited to submit their resume and a cover letter detailing their qualifications and experience to https://www.ig.ca/en/careers Artificial Intelligence in Recruitment: As part of our Talent Acquisition process, we may use artificial intelligence and automated tools to support activities such as candidate sourcing, application review, and interview scheduling. These tools support the recruitment process; all hiring decisions are made by people. We thank all applicants for their interest in IG Wealth Management; however, only those candidates selected for an interview will be contacted.

The intern will support the Data Science team by developing datasets, models, and reports to meet strategic business objectives. Responsibilities include analyzing structured and unstructured data and collaborating with teams to deploy AI solutions.

Candidates must be currently enrolled in a post-secondary program in Data Science, Computer Science, Statistics, or a related field. Proficiency in SQL, Python, and Git is required, with familiarity in BI tools and cloud technologies being a plus.

• Paid Time Off

• Microsoft AzurePreferred
• Power BIPreferred
• SQLPreferred
• TableauPreferred
• Data analysisPreferred
• Machine learningPreferred
• Google CloudPreferred
• GitPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Sql
• Python
• Git
• Looker
• Tableau
• Power Bi
• Google Cloud
• Azure
• Critical Thinking
• Data Modeling
• Machine Learning
• Data Analysis

• Data & Analytics
• Technology
• Finance & Accounting
• Software
• Engineering

Minimum education

Bachelor’s degree

Minimum experience

0+ years

Apply by

Sep 20, 2026

Posting language

English

Working hours

38 hours per week

Office presence

3 days per week

Seniority

Internship