Data Science - Co-op Student; Winter

About Us:

At Rodan Energy, our mission is Making Sustainable, Attainable. As a leading North American energy services company, we provide innovative energy solutions that help clients reduce energy costs and GHG emissions, support electrification, and enhance grid efficiency. With over 20 years of expertise,we’retrusted by North America’s largest energy users, power producers, and utilities.

• Thriving Industry:Join a rapidly growing sector at the forefront of innovation and sustainability, helping shape the future of energy management.

• Product Market Fit:With a 98% client retention rate and consistent year-over-year growth, Rodan has built a reputation for delivering trusted, long-term partnerships with industry leaders

• Top Talent & Strong Culture:
  
  Collaborate with high-performing, passionate individuals who are committed to excellence, innovation, and sustainability.

• Gain hands-on experience building forecasting models that inform real facility, market, and pricing decisions
• Exposure to time-series modeling, ML pipelines, and the Databricks platform in a live production environment
• Work alongside experienced data scientists and energy-market domain experts
• Opportunity to build technical skills in a collaborative, high-impact environment
• In-office collaboration, five days a week, designed for hands-on learning and mentorship

• Design, build, and validate time-series forecasting models for facility load, market demand, and electricity price signals
• Explore and tune modeling approaches (statistical, ML, and deep learning) with guidance from the team, based on the forecasting horizon, data availability, and accuracy requirements
• Contribute to ML pipelines on the Databricks platform using PySpark, MLflow, and Delta Lake (we’ll teach you the platform)
• Build dashboards and automated reports in Databricks to replace manual Excel workflows
• Learn from energy-market domain experts and incorporate their knowledge of market structures, tariff rules, and grid dynamics into model features and evaluation frameworks
• Communicate model performance, assumptions, and limitations to both technical and non-technical stakeholders

• Currently enrolled in a registered Co-op program and working towards an undergraduate or graduate degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field
• Working knowledge of Python, SQL, Excel, and core data science libraries (e.g., pandas, scikit-learn, numpy)
• Foundational understanding of statistical or machine learning modeling concepts, ideally including time-series methods.
• Strong analytical thinking and clear written and verbal communication skills.
• Collaborative mindset, self-motivated, and comfortable asking questions and iterating on feedback

• Coursework, projects, or work experience related to the electricity sector and curiosity about the data and dynamics that drive it
• Familiarity with weather data integration for load and renewable forecasting
• Any exposure to the Databricks platform
• Familiarity with Git/Git Hub for organizing and version-controlling your code

• Term: January 2027– April 2027(4-month co-op term)
• Compensation: $20.00 - $25.00 per hour, based on year of study, relevant experience, and internal equity
• Schedule: 40-hour work week
• Location: Mississauga, ON
• Work Arrangement: 5 days per week in-office
• Vacancy Status: This posting is for an existing Winter 2027co-op opportunity

At Rodan, we believe a great workplace goes beyond the work itself. Recognized as Canada’s Top Small & Medium Employer of 2026
, we’ve built a culture rooted in collaboration, celebration, and giving…