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

About the role

Develop and improve predictive commodity market models covering supply, demand, capacity, costs, storage, trade, transport, and prices, and deliver interactive analytics and decision-support tools. Lead and coordinate modeling projects and colleagues, collaborate with stakeholders and customers, and deliver data and models to ICIS platforms. Requires at least five years of practical predictive modeling experience related to commodity markets, trading, supply, demand, or prices, along with knowledge of scenario modeling and marginal supply cost curves. Candidates should have production-ready Python and SQL skills, experience with data science tools and software development practices, and the ability to communicate clearly and work independently with customers and teams.