A global energy trading organisation is hiring a Data Scientist to support market analytics across commodity trading. The role uses data science, quantitative analysis and Python to build models, tools and insights that help analysts and traders understand supply, demand, pricing, flows and market risk.

Responsibilities

• Build models and analytical tools to support supply-demand analysis, market forecasting and scenario analysis.
• Apply machine learning, statistics and time-series methods to market, pricing, freight, weather and flow data.
• Extract practical insights from large and complex datasets to support commercial and trading decisions.
• Develop dashboards, APIs or other tools that help teams access and use data more effectively.
• Validate models so outputs are transparent, reproducible and suitable for a trading environment.
• Work with analysts and commercial stakeholders to improve data quality, ass...