Develop an energy market forecasting model at Nexus Energy using Python, historical data, and quantitative analysis during Winter 2027. Gain practical experience connecting market applications with business decisions.

This junior co-op placement centers on a predefined energy market rate and real-world data. You will translate business objectives, examine trends and seasonality, compare forecasting approaches, and evaluate model performance. The broader assignment supports data investigations, reporting, process improvements, and internal stakeholders.

Key Responsibilities:

- Collect, clean, validate, and explore historical market data
- Analyze trends, seasonality, and potential market drivers
- Develop and compare forecasting approaches




- Backtest models using appropriate accuracy metrics
- Present findings and recommendations to stakeholders

Requirements:

- Enrollment in analytics, data science, mathematics, or related studies
- Python knowledge for data analysis and automation
- MySQL knowledge including validation and data querying
- Solid quantitative problem-solving and attention to detail
- Forecasting or time-series experience is an asset

Apply Python, MySQL, forecasting, and quantitative analysis while presenting an energy market model at Nexus Energy.

📌 Energy Market Forecasting Analyst Intern (Toronto)
🏢 Nexus Energy
📍 Toronto