Data Science Student undertaking challenging work assignments in analytics and machine learning at PCL. Collaborating under supervision in a supportive environment for personal and professional growth.
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 assess AI/ML model performance
Prepare data visualizations using industry-leading tools
Requirements
Currently enrolled in a postsecondary program
Outstanding bachelor's or mathematics student in engineering, computing, or mathematical sciences
Coursework in statistics
Prior exposure to a statistical or scientific programming environment is helpful
Excellent oral and written communication skills
Benefits
Supportive work environment promoting personal and professional growth
Opportunity for challenging work assignments
Chance to build portfolio through a capstone project
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