Lead Data Scientist / Quantitative Analyst - Commodity Intelligence m/f/d

About the role

Develop and improve predictive commodity market models and interactive decision-support tools covering market fundamentals, prices, supply, demand, and trade. Coordinate and guide data scientists, manage project delivery, collaborate with customers and stakeholders, and deliver models and data to shared platforms. Requires at least five years of practical predictive modeling experience related to commodity markets, trading, supply, demand, or prices, along with experience in scenario modeling and marginal supply cost curves. Candidates should have production-ready Python and SQL skills, experience with data and software development tools, and the ability to communicate complex concepts and work independently with stakeholders.