Data Science Student

PCL Construction

May 11

Applications are closed

Internship
Full-time
Off-cycle Internship
Data
Edmonton

Requirements

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.

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

FAQs

What is the job title for the position being offered?

The job title is Data Science Student.

Where is the position located?

The position is located at the Canadian Industrial Division district office in Edmonton, AB.

How long is the duration of the internship?

The internship is available for either 4 or 8 months.

When is the start date for this position?

The start date for this position is September 2024.

Who will supervise the Data Science Student?

The Data Science Student will be under the direct supervision of the Manager, Data Science.

What type of work environment can I expect at PCL?

PCL promotes a supportive work environment that encourages personal and professional growth.

What kind of assignments can I expect in this role?

You can expect challenging work assignments that provide opportunities for learning and development.

What is the overall mission of PCL as described in the job description?

PCL aims to build better communities and is committed to looking ahead at future projects and career growth for its employees.

PCL Construction

Founded in 1906, PCL is a group of independent construction companies that carries out work across the globe.

Engineering & Construction

Industry

1001-5000

Employees

1906

Founded Year

Mission & Purpose

PCL is a group of independent construction companies that carries out work across Canada, the United States, the Caribbean, and in Australia. These diverse operations in the civil infrastructure, heavy industrial, and buildings markets are supported by a strategic presence in 31 major centers.