Data Science Student

Remote work not available for this position.

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

• Currently enrolled in a postsecondary program.
• Outstanding bachelor’s or Master’s candidate in engineering, computing, or mathematical sciences; or pursuing an MSc in a quantitative field. Applicants from other fields should explain why they are a good fit.
• Analytical skills – ability to quickly analyze data to identify and visualize key insights, as evidenced by coursework, projects, or research requiring large dataset analysis.
• Coursework in statistics, applied statistics, and probability; knowledge of regression models and clustering approaches.
• Prior exposure to a statistical or scientific programming environment is helpful; willingness to become familiar with open source tools such as Python scientific stack, R, Power
  
  BI, and data pipeline tools.
• Excellent oral and written communication skills; ability to communicate appropriately with experts and business staff.

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  with the position and location you are interested in.