successfactors
Data Science Student
PCL Constructors Inc.
Edmonton, CAN
Internship, Temporary
Entry
Onsite
Discovered 1 weeks ago
PythonR
Free
Job Fit Check
Base Career helps you apply smarter for this job.
?%
Ready to ScanKey skills for this role
PythonR
Key Skills for This Role
PythonR
Full Job Posting
Responsibilities
- As a Data Science Student , you will contribute to our team by: • 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
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.
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at PCL Constructors Inc.
Leadership Academy Coordinator
Edmonton, CAN
Discovered YesterdayFull-time
Engineering/Technical Student
Montréal, CAN
Discovered 3 days agoInternship, Temporary
Administrative Assistant
Edmonton, CAN
Discovered 3 days agoFull-time
Mechanical & Electrical Estimating Student
Oakville, CAN
Discovered 3 days agoInternship, Temporary
Étudiant en technologie de construction intégrée
Montréal, CAN
Discovered 3 days agoInternship, Temporary
Scheduling Student
Oakville, CAN
Discovered 3 days agoInternship, Temporary
Senior Business Systems Analyst
Edmonton, CAN
Discovered 3 days agoFull-time
Engineering Student
Oakville, CAN
Discovered 3 days agoInternship, Temporary