Data Scientist Co-op

About Moment Energy Independent energy is here. Help us deploy it. Energy should be free. Free from aging grids, fragile supply chains, and unnecessary extraction. At Moment Energy, we’re building a world where clean power is abundant, affordable, and uninterrupted for everyone. The world doesn’t need another promise about energy; it needs proof that a freer future is possible. Moment Energy is the pragmatic liberator of power, the only company certified to turn the largest untapped energy supply into independent energy. Now is the moment. While the industry scraps millions of batteries with decades of life left, we put them to work by repurposing large-format batteries into advanced battery energy storage systems that deliver real-world impact. We were told second-life batteries would never be safe enough or scalable enough. We didn’t argue, we engineered the solution. Today, Moment Energy delivers 5x the energy density and holds the certifications required to deploy energy independence at scale. Now is the moment. Join us. The Opportunity We are looking for a Data Scientist Co-op to join our Engineering team starting in January 2027. In this role, you will support the development of advanced models and analytics that improve the performance, reliability, and longevity of our battery energy storage systems. You will work closely with the Battery Engineering and Battery Management System (BMS) teams to analyze battery data, develop machine learning models, and build tools that transform large datasets into actionable insights. This is an excellent opportunity for a student interested in applying data science and machine learning to real-world energy systems. Responsibilities and Duties • Assist in developing and validating battery state-of-charge (SOC) and state-of-health (SOH) estimation algorithms • Support the development of adaptive battery models using machine learning methods, such as Gaussian Process Regression • Build automated data analysis tools to process battery data from internal testing labs and external customers • Develop dashboards and visualization tools to monitor battery performance and operational metrics • Create AI/ML models to forecast battery load and performance using historical operational and environmental data • Analyze large datasets from battery testing and operational systems to identify patterns and insights • Document methodologies, models, and results through well-structured Python code, reports, and presentations • Collaborate with engineering teams to integrate data-driven insights into product development and system optimization The Student we’re looking for: • Currently pursuing a Bachelor’s degree in Data Science, Computer Science, Electrical Engineering, Mathematics, or a related discipline • Experience with Python and common data science libraries (NumPy, Pandas, SciPy, or similar) • Familiarity with machine learning methods and statistical modeling • Experience working with data visualization or dashboarding tools is an asset • Interest in energy systems, battery technology, or IoT data analytics • Strong analytical, problem-solving, and communication skills • Ability to work both independently and collaboratively in a multidisciplinary engineering environment The Experience You’ll Gain: • Hands-on experience applying machine learning and data science to energy storage systems • Exposure to battery modeling, predictive analytics, and real-world operational data • Mentorship from experienced engineers and researchers • The opportunity to contribute to technology supporting the clean energy transition Moment Energy Co-op Benefits Highlights Paid Time Off: Co-op’s receive three paid days off per term Vibrant Culture & Perks: Open and collaborative office cul