Predictive Analytics & Strategy Student

The future you want is within reach.

At PCL, we build the places where life happens and find camaraderie in the process. We’re a community of builders committed to building better communities. That’s why we’re always looking ahead, and not just to the next project or what’s next in our industry.

We’re also looking at what’s next for you and how we can help you build a career you’re proud of. As a student at PCL, you will get the opportunity for challenging work assignments in a supportive work environment which promotes personal and professional growth.

We are seeking a Predictive Analytics & Strategy Student for our Toronto District, within our Canadian Buildings Division who is available for 4 month or 8 months starting September 2026.

As a Predictive Analytics & Strategy Student and depending on your assigned project, you will have the opportunity to contribute to our team by:

Responsibilities

Collecting, cleaning, and organizing large datasets from multiple internal and external sources

Performing exploratory data analysis to identify trends, anomalies, and key drivers

Ensuring data integrity, consistency, and documentation

Assisting in the development, testing, and refinement of predictive models

Applying statistical and machine learning techniques appropriate to the business problem

Evaluating model performance and refining assumptions as needed

Translating analytical findings into clear insights that inform strategic decisions

Developing dashboards, visualizations, and summary materials for non-technical audiences

Supporting scenario analysis and forecasting exercises

Working closely with strategic functions and leadership teams to understand business questions

Clearly communicating methodology, assumptions, and findings

Incorporating feedback and iterating on analyses

Qualifications

Working towards a degree or diploma in a data science, statistics, mathematics, computer science and/or analytics-related field.

Strong analytical and problem-solving skills

Exposure to machine learning techniques such as regression, classification, or clustering

Experience with SQL and relational databases

Experience working with large datasets

Proficiency with analytical languages (such as Python or R)

Familiarity with data visualization tools such as Power BI, Tableau, or Python visualization libraries

Strong written and verbal communication skills

Next Step:

Please note that candidates who have been selected to move forward to the next stage of the recruitment process will receive an email to complete a short online video interview

The estimated hourly range for this role is $19.57- $28.69, based on your experience and qualifications. Final compensation will be confirmed as part of a personalized offer.

PCL is an innovative, employee-owned company comprised of people who find passion in their profession and take pride in doing great work every day. Our work powers the infrastructure and utilities that are essential to daily life and our projects are the scene of vacations, careers, education and healing. We are consistently ranked among the best companies to work for because we are committed to supporting and developing our teams.

PCL combines numerous pay and benefit strategies to provide a comprehensive and competitive total rewards package. Any salary range displayed by a job board is an estimate. Your salary, which considers your unique qualifications and experience, is just one component of the robust total rewards you'll enjoy at PCL. This may include an employee share purchase offering, discretionary annual performance bonus, comprehensive benefits and wellness programs, retirement plan plus matching, and career development programs.

Should you require an accommodation during the application process, please contact us at careers@pcl.com with the position and location you are interested in.

This recruitment process does not involve the use of artificial intelligence (AI) to screen, assess, or select applicants. All hiring decisions are made by qualified reviewers.

This posting is for a replacement position within our organization.