Data Scientist / ML Engineer at Franklin Templeton designing and productionizing machine learning systems for business solutions. Collaborating with teams to deliver scalable and reliable ML solutions.
About the role
- Data Science Intern performing data analysis and producing insights for TD business needs. Engaging in hands-on projects using Python and SQL.
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 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
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