Machine Learning Co-op

About

Transform your skills with a Machine Learning Co-op focused on Data Analytics. Interns will interpret data, generate insights, and assist in machine learning model development, contributing to business-oriented solutions.

Located in Toronto for a fall work term, this role invites students from various fields to apply their theoretical knowledge in a practical context. You will engage in data cleaning, feature engineering, and support your team in analyzing large data sets. The experience culminates in crafting actionable insights and collaborating with stakeholders on analytics projects.

Key Responsibilities

• Analyze spatially enabled data sets for insights
• Clean and prepare data for analysis
• Collaborate to develop machine learning models
• Present findings to diverse audiences
• Aid in the analytics solutions business case

Requirements

• Enrolled in a relevant undergraduate or graduate program
• Strong analytical mindset and statistical skills
• Proficiency in Python, SQL, or other programming languages
• Experience with geospatial processing a plus
• Excellent verbal and written communication skills

Enhance your resume with this impactful co-op experience while pushing the boundaries of data analytics.