Data Science Student

PCL Construction; Edmonton; On-site; CAD 20,000 - 31,000; Full time

Job summary

PCL Construction in Edmonton, AB seeks a Data Science Student for the Canadian Industrial Division. The role runs for 4, 8, or 12 months starting January 2027, with no remote work.

You will work under the Manager, Data Science, performing data analysis, visualization, and ML-related tasks in a collaborative environment. The position emphasizes exploratory data analysis, data preparation, model training, and stakeholder storytelling.

Qualifications

• Currently enrolled in a postsecondary program.
• Strong mathematical and statistical coursework is expected.
• Experience with data analysis and visualization is beneficial.

Responsibilities

• Gain proficiency in exploratory data analysis and present insights.
• Prepare data sets for visualization and machine learning modeling.
• Train machine learning systems using data annotation and benchmarking techniques.
• Assess AI/ML model performance and propose improvements.
• Prepare data visualizations to summarize results for stakeholders.
• Document results and tell the story of the work for posterity.
• Collaborate with team and adapt to new opportunities.

Skills

Analytical skills

Statistics coursework

Python

R

PowerBI

Data visualization

Communication skills

Education

Bachelor's degree candidate in engineering/computing/math

MSc in quantitative field

Tools

PowerBI

Python

R

Data pipelines

Job description

Career Opportunities: Data Science Student (13767)

Requisition ID13767-Posted09/07/2026-Business Technology-Edmonton Industrial Management-Edmonton, Alberta (Ind Mgmt)

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 Data Science Student for our Canadian Industrial Division district office in Edmonton, AB, that is availablefor 4, 8, or 12 months starting in January, 2027, Year.This position willbe under the direct supervision of the Manager, Data Science.

Remote work not available for this position.

Responsibilities

As a Data Science Student, you will contribute to our team by:

• Gain proficiency in exploratory data analysis, perform it, and present insights.
• Prepare data sets for visualization and machine learning modeling.
• Train machine learning systems using data annotation and benchmarking techniques.
• Help your colleagues assess AI/ML model performance and propose paths for potential improvement.
• Prepare data visualizations using industry-leading tools to summarize results for stakeholders.
• Document your results - tell the story of the work, the successes, and the lessons-learned for posterity.
• Keep an open mind, in order to utilize your unique skills and your determination when other opportunities arise.

This position has a twist. Contingent on successful early work, the team member will have a chance to build their portfolio through a capstone project. For the final two months, a portion of their time will be focused on a design-focused initiative, of value to PCL, of their choosing. You'll be supported while you:

• Develop a proposal
• Engage with the right people to inform your work
• Build your prototype or visualization
• Assess and present the results

Qualifications

What you will bring to the role:

• Currently enrolled in a postsecondary program
• You should be an outstanding bachelor's or mathematics student in engineering, computing, or mathematical sciences. Alternatively, you could be pursuing an MSc in a quantitative field. If your field of study differs, apply: we’d like to hear why you'll be a good fit regardless.
• Analytical skills – ability to quickly analyze data to identify and visualize key insights – as evidenced by coursework, projects, or research requiring the analysis of large datasets.
• Coursework in statistics. Applied statistics and probability are the focus of the position: if you can converse about regression models, and clustering approaches, you'll be fine.
• Prior exposure to a statistical or scientific programming environment is helpful. If you don't have it, you'll become familiar while you're with us. We have a bias for open source tech, and work with the Python scientific stack, R, PowerBI, and various data pipeline tools.
• Excellent oral and written communication skills will help. You'll work with both experts in the field and business staff, so you’ll find it important to be able to communicate appropriately with both as needed.

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.

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.

The PCL Companies celebrate diversity and are proud to be an equal opportunity employer. We are committed to creating equitable opportunities and an inclusive environment for all employees and applicants. We make employment-related decisions without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability or veteran status. Should you require an accommodation during the application process, please contact us at [e-mail] with the position and location you are interested in.

Together, we can build success and a better future. Let’s get started!