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Data Science Student

PCL Construction

Edmonton

On-site

CAD 80,000 - 100,000

Full time

10 days ago

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Job summary

PCL Construction is seeking a Data Science Student for a full-time internship in Edmonton, starting September 2025. The successful candidate will gain hands-on experience through data analysis, machine learning, and a capstone project, while being supported in a collaborative environment. This role offers a great opportunity to build skills in a leading construction firm committed to innovation and community development.

Benefits

Comprehensive benefits and wellness programs
Career development programs
Discretionary annual performance bonus
Employee share purchase offering

Qualifications

  • Currently enrolled in a postsecondary program.
  • Outstanding analytical skills in data visualization.
  • Coursework in applied statistics and probability.

Responsibilities

  • Perform exploratory data analysis and present insights.
  • Prepare data sets for machine learning modeling.
  • Document results and assess AI/ML model performance.

Skills

Analytical skills
Communication skills

Education

Bachelor's or Master's in Engineering, Computing, or Mathematical Sciences

Tools

Python
R
PowerBI

Job description

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 promotespersonal and professional growth.

We are seekingaData ScienceStudentfor ourCanadian Industrial Divisiondistrict office in Edmonton, AB,that is availablefor4 or8 monthsstarting in September 2025. This positionwill be under the direct supervision of the Manager, Data Science.

Remote work is not available for this position.

As aData ScienceStudent,you will contribute to our team by:

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.

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 aproposal
  • Engage with the right people to inform yourwork
  • Build your prototype orvisualization
  • Assess and present theresults
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.

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.

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

Employee Status:Internship Full-Time

Company:PCL Industrial Management Inc.

Primary Location:Edmonton, Alberta (Ind Mgmt)

Job:Data Science Student

Requisition:9061

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