About the role#
PCL Construction is seeking a Predictive Analytics & Strategy Student for the Toronto District within the Canadian Buildings Division. This is a full-time, paid internship opportunity for the Fall 2026 term, starting in September 2026 for a duration of 4 or 8 months.
What you'll do#
- Collect, clean, and organize large datasets from internal and external sources.
- Perform exploratory data analysis to identify trends, anomalies, and key drivers.
- Assist in the development, testing, and refinement of predictive models.
- Translate analytical findings into clear insights to inform strategic business decisions.
- Develop dashboards, visualizations, and summary materials for non-technical audiences.
- Support scenario analysis and forecasting exercises while collaborating with leadership teams.
- Ensure data integrity and document methodologies, assumptions, and findings.
What you'll need#
- Currently working towards a degree or diploma in Data Science, Mathematics, Computer Science, Statistics, or an analytics-related field.
- Proficiency in analytical programming languages such as Python or R.
- Experience with SQL and relational databases.
- Exposure to machine learning techniques, including regression, classification, or clustering.
- Experience working with large datasets and data visualization tools such as Power BI or Tableau.
- Strong analytical, problem-solving, and communication skills.
Location & details#
- Location: Oakville, Ontario, Canada.
- Work Modality: On-site.
- Compensation: The estimated hourly range is $19.57 - $28.69, based on experience and qualifications.
