Data Science Student

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, o...