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

About the role

Develop and improve quantitative commodity market models and interactive decision-support tools for forecasting market fundamentals, prices, supply, demand, and trade. Lead and coordinate data scientists, manage project delivery, collaborate with customers and stakeholders, and deliver models and data to ICIS platforms. Requires at least five years of practical predictive modeling experience in commodity markets, trading, or supply, demand, and pricing, along with strong Python and SQL skills. Candidates should have experience with scenario modeling, data visualization, production software practices, and customer collaboration, and be able to communicate complex concepts clearly.