Summary
Caroline Schöyer is a software and quantitative analyst with eight years of engineering experience, currently applying ML-driven demand-side response strategies for renewable asset management at Centrica. With an MEng in Mechanical Engineering from Imperial College London, she has moved from biomedical and biomechanics software projects to deploying production ML solutions for batteries and heat pumps at British Gas Net Zero. Her work blends hands-on engineering—Arduino sensors and Qt GUIs—to model-driven energy optimisation, showing comfort across hardware, simulation, and cloud software stacks. She has progressed rapidly within Centrica from software engineer to Quantitative Analyst in DSR, evidencing both technical depth and domain expertise in energy systems. Fluent in interdisciplinary collaboration, she also tutors and has led student engineering teams, indicating strong mentoring and project leadership skills. A detail that sets her apart is practical lab-to-production experience: building physical measurement rigs and phantom models before scaling those insights into data-driven energy products.
8 years of coding experience
2 years of employment as a software developer
Master of Engineering - MEng, Mechanical Engineering, Master of Engineering - MEng, Mechanical Engineering at Imperial College London
European Baccalaureate, European Baccalaureate at Europäische Schule München (ESM)
German, English, Dutch, Italian