Data Science Intern

1 week ago

Edmonton, Alberta, Canada PCL Construction Full time
About the Role

We are seeking a highly motivated and detail-oriented Data Science Student to join our Canadian Industrial Division in Edmonton, AB. As a Data Science Student, you will have the opportunity to work on challenging projects, gain hands-on experience with data analysis and machine learning, and contribute to the development of our company's data-driven initiatives.

Responsibilities
  • Perform exploratory data analysis, prepare data sets for visualization and machine learning modeling, and 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, telling the story of the work, the successes, and the lessons-learned for posterity.
Qualifications
  • Currently enrolled in a postsecondary program in engineering, computing, or mathematical sciences.
  • Strong analytical skills, with the ability to quickly analyze data to identify and visualize key insights.
  • Coursework in statistics, with a focus on applied statistics and probability.
  • Prior exposure to a statistical or scientific programming environment is an asset.
  • Excellent oral and written communication skills.
About PCL

PCL is an innovative, employee-owned company that powers the infrastructure and utilities that are essential to daily life. 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.

We offer a comprehensive and competitive total rewards package, including an employee share purchase offering, discretionary annual performance bonus, comprehensive benefits and wellness programs, retirement plan plus matching, and career development programs.

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