Staff Data Scientist - Trading (d/f/m)

About the role

Develop and productionize algorithms and models that optimize returns from trading customer battery flexibility, while setting the technical vision and data science roadmap. Lead complex projects from research through deployment and monitoring, and mentor data scientists while promoting engineering rigor and cross-functional alignment. Requires 7+ years of applied data science experience, including significant development of trading algorithms in the energy or financial sectors, a quantitative university degree, and strong Python and software engineering skills. Candidates should understand trading mechanics, have production experience with machine learning or optimization models on cloud platforms, and be able to mentor colleagues and communicate effectively in English.