Intern, Electricity Market Optimization &… at Energy Vault · Remote

Summary: Energy Vault is a global energy storage and power infrastructure company focused on delivering reliable, flexible power. They are seeking a motivated and analytically rigorous Summer Intern to join their Data Science team and support electricity market optimization and price forecasting work. Responsibilities: - Assist in the development and refinement of optimization models for energy storage dispatch and trading, incorporating electricity market rules and operational constraints from CAISO and/or ERCOT - Support formulation of stochastic, robust, or mixed-integer programming models to optimize physical and financial trading positions across market products (energy, ancillary services, capacity) - Assist in developing or enhancing time-series forecasting models for electricity prices leveraging modern ML/statistical approaches - Help implement and backtest alternative dispatch and trading strategies using historical market data and simulation frameworks - Document model assumptions, methodologies, and results clearly to support knowledge transfer and team review - Participate in team discussions and contribute analytical insights in an agile work environment Required Qualifications: - Pursuing a MS or PhD program in Electrical Engineering, Operations Research, Computer Science, Applied Mathematics, or a closely related field - BS in Applied Mathematics, Engineering (Electrical Engineering, Computer Science, Computer Engineering), or similar field is required - Strong background in at least one of the following: Optimization methods (mixed-integer, stochastic, robust, or convex optimization) with applications to electricity market problems such as SCED, battery dispatch, or energy trading; or Time-series forecasting applied to energy systems (electricity price, load, or renewable generation forecasting) - Proficiency in Python is required - Familiarity with at least one commercial or open-source optimization solver (Gurobi, CPLEX, CBC, etc.) or modern ML/forecasting frameworks (XGBoost, scikit-learn, PyTorch, etc.), depending on your area of focus - Solid understanding of electricity market fundamentals (energy markets, ancillary services, LMPs, settlement) - Comfortable thriving in fast-paced, rapid growth environments - Must successfully pass a pre-employment background check Preferred Qualifications: - A passion for sustainability, our mission, and our vision is a bonus! Required Skills: Optimization methods, Stochastic optimization, Mixed-integer optimization, Robust optimization, Convex optimization, Electricity market fundamentals, Energy market knowledge, Ancillary services knowledge, Locational Marginal Pricing (LMP), Python programming, Optimization solvers, Gurobi, CPLEX, CBC, Machine learning frameworks, XGBoost, scikit-learn, PyTorch, Time-series forecasting, Electricity price forecasting, Load forecasting, Renewable generation forecasting, Analytical rigor, work in agile environment, thrive in fast-paced environments