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Data Science Student
Pcl Construction
Construction firm delivering diverse projects across multiple sectors worldwide.
Exploratory data analysis, machine learning modeling, and data visualization in the construction industry.
20d ago
Entry-level
Internship
Edmonton, Alberta, Canada
Hybrid
Company Size
4,500 Employees
Service Specialisms
Buildings
Civil infrastructure
Industrial projects
Heavy industrial
Solar markets
Digital construction technologies
Construction management
General contracting
Sector Specialisms
Industrial
Special Projects
Buildings
Civil Infrastructure
Heavy Industrial
Building Revitalization
Commercial
Retail
Role
What you would be doing
assess results
model performance
data visualization
prototype build
data preparation
stakeholder engagement
Assess and present the results
Help your colleagues assess AI/ML model performance and propose paths for potential improvement.
Build your prototype or visualization
Document your results - tell the story of the work, the successes, and the lessons-learned for posterity.
Engage with the right people to inform your work
Prepare data sets for visualization and machine learning modeling.
Prepare data visualizations using industry-leading tools to summarize results for stakeholders.
Train machine learning systems using data annotation and benchmarking techniques.
Develop a proposal
What you bring
analytical skills
statistics
python
enrolled
data analysis
communication
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.
Currently enrolled in a postsecondary program
Gain proficiency in exploratory data analysis, perform it, and present insights.
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.
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.
Benefits
Information not given or found
Training + Development
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Interview process
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Visa Sponsorship
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Security clearance
candidates who move forward in the recruitment process will undergo a background check
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