Data Science Co-op/Intern at TD interpreting data and supporting analytics solutions. Engaging with peers and developing skills in a collaborative environment.
Responsibilities
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 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.
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