Data & AI Winter Intern – Hybrid

Meridian OneCap Credit Corp.; Toronto; Hybrid; CAD 29,000 - 41,000; Part time

Job summary

Meridian OneCap Credit Corp. is seeking a Data and Artificial Intelligence Winter Student for a 4-month term, with hybrid work options in Toronto.

The role spans data analysis, BI, data science, and data engineering to deliver analytics-driven insights across Meridian’s departments. The candidate will analyze datasets, build predictive models, design AI workflows, and develop dashboards while collaborating with stakeholders.

Qualifications

• Current enrollment or recent graduate from a Bachelor’s or Master’s program in Data Science, CS, Statistics, Engineering, Mathematics, or a related field.
• Proficiency in at least one programming language for data analysis (e.g. R, Python).
• Familiarity with SQL and data querying techniques.

Responsibilities

• Engage internal stakeholders to curate 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.

Skills

Strong communication

Analytical skills

Data analysis

Python

R

SQL

Power Platform

Education

Bachelor’s or Master’s in Data Science, CS, Statistics, Engineering, or Mathematics

Tools

SQL

Power Platform

Job description

Meridian OneCap Credit Corp. is seeking a Data and Artificial Intelligence Winter Student for a 4-month term, with hybrid work options in Toronto.

The role spans data analysis, BI, data science, and data engineering to deliver analytics-driven insights across Meridian’s departments. The candidate will analyze datasets, build predictive models, design AI workflows, and develop dashboards while collaborating with stakeholders.