Data Science Student

PCL Construction • Edmonton, AB

1d • Onsite

About The Position

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 available for 8 or 12 months starting in September, 2026. This position will be under the direct supervision of the Manager, Data Science. Remote work not available for this position.

Requirements

• Currently enrolled in a postsecondary program
• Outstanding bachelor's or mathematics student in engineering, computing, or mathematical sciences. Alternatively, pursuing an MSc in a quantitative field.
• 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.
• 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.

Nice To Haves

• If your field of study differs, apply: we’d like to hear why you'll be a good fit regardless.
• If you don't have prior exposure to a statistical or scientific programming environment, 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.

Responsibilities

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

Benefits

• Challenging work assignments in a supportive work environment which promotes personal and professional growth.
• Opportunity to build your portfolio through a capstone project.
• Employee-owned company.
• Commitment to supporting and developing our teams.
• Celebration of diversity and proud to be an equal opportunity employer.
• Commitment to creating equitable opportunities and an inclusive environment for all employees and applicants.
• Employment-related decisions made without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability or veteran status.
• Accommodation during the application process available upon request.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern