Data Science Intern/Co-op – Summer 2026
TD
internship
Posted on:
Location Type: Hybrid
Location: Toronto • 🇨🇦 Canada
Visit company websiteSalary
💰 CA$45,700 - CA$74,400 per year
Job Level
Entry Level
Tech Stack
AWSAzurePythonSQLTableau
About the role
- Responsible for interpreting data, producing insights, creating relevant collateral/ data visualization reports, and recommending actions on complex issues to support business needs.
- Perform Python/SQL data queries and support data sets for analysis/modelling, including cleaning data and feature engineering
- Analyze large, spatially enabled data sets and identify trends and insights to inform business decisions; communicate findings to technical and non-technical audiences
- Support team members and business partners to develop, test and deploy analytics solutions, for example: forecasting, optimization, or models
- Proactively identify and solve for business problems and opportunities where a data-driven solution would be appropriate and develop proposals / approaches
- Collaborate with business partners to support the business case development process for analytics solutions
Requirements
- Currently enrolled in either a recognized undergraduate or graduate degree majoring in Computer Science, Mathematics, Engineering, Science, Statistics, Business, Data Analytics, Business/ Commerce or related field with the intent of going back to school at the start of your work term.
- Must be enrolled in an undergraduate degree with the intent of going back to school at the start of your work term
- Strong statistical and analytical skills and interest are necessary.
- Strong proficiency in one or more of Python, SQL, or other data-related programming languages.
- Knowledge in spatially enabled data, geospatial processing tools/platforms
- Knowledge in one or more Azure, R, AWS, Databricks and Github is a plus
- Knowledge in Tableau and/or PowerBI
- Excellent verbal and written communication with the ability to work collaboratively and effectively in a team environment.
Benefits
- Health and well-being benefits
- Savings and retirement programs
- Paid time off
- Career development and training programs
- Reward and recognition programs
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonSQLdata analysisfeature engineeringdata modelingstatistical analysisdata visualizationforecastingoptimizationgeospatial processing
Soft skills
analytical skillscommunicationcollaborationproblem-solvingteamwork