Quantitative Development & Data Science Intern

About the role

Research, develop, validate, and implement quantitative algorithms and machine-learning models for electricity, gas, and LNG trading, including forecasting, asset dispatch, portfolio optimization, and hedging. Build reliable Python applications, contribute to testing and code reviews, and collaborate with quantitative, data science, and trading teams to address business challenges. Applicants must be pursuing a master's degree in computer science, data science, mathematics, physics, or a related quantitative discipline, with strong Python skills and knowledge of data science, numerical methods, and optimization. The role also calls for an interest in energy trading and machine learning, structured problem-solving, collaborative working, advanced English proficiency, and a mandatory tripartite agreement; French is an advantage.