Data and Artificial Intelligence Fall Student
Meridian Credit Union•Toronto, ON
•Hybrid
About The Position
The Data and Artificial Intelligence Student has a dynamic role responsible for delivering data-driven insights to Meridian’s departments. This position involves a wide range of data tasks including data analysis, business intelligence, data science, and data engineering. This posting is for a newly created position. Internal candidates are being considered.
Requirements
- Currently enrolled or recent graduate from a Bachelor’s or Master’s program in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field.
- Strong communication skills (written and verbal).
- Analytical and problem-solving abilities, along with research skills to achieve results.
- Strong organizational skills, with the ability to quickly prioritize and effectively handle critical issues as they arise or manage multiple competing priorities.
- A creative approach to problem-solving and the ability to think outside the box.
- Flexibility and adaptability to work well in a dynamic environment.
- Proficiency in at least one programming language for data analysis (e.g. R, Python).
- Familiarity with SQL and data querying techniques.
- Comfort learning and adopting new digital tools, with an openness to using AI‑enabled technology to enhance productivity, accuracy, and the Member experience
- Demonstrated ability to analyze structured and unstructured data to uncover trends, patterns, and insights.
- Experience working with datasets including open data sources, competitions, or class assignments.
Nice To Haves
- Experience with low/no code tools like the Microsoft Power Platform and generative AI productivity tools like Microsoft Copilot is considered an asset
Responsibilities
- Engage internal stakeholders to curate high quality, analytics-ready datasets
- Assist in building and evaluating predictive models and statistical analyses
- Assist in designing, testing, and refining generative AI agents for internal data workflows
- Participate in evaluating machine learning models and AI prototypes
- Assist in reviewing AI use cases for alignment with data governance and ethical AI principles
- Build dynamic reports for business intelligence
- Develop dashboards and visualizations to communicate findings
- Participate in team meetings, ideation sessions, and knowledge-sharing activities
Benefits
- Hybrid work arrangements with in-person office time to collaborate, innovate, and build relationships with your colleagues.
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What This Job Offers
Career Level
Intern
