Senior Data Scientist Commodity Markets - RELX INC

Key Responsibilities

• Design, develop, and deploy machine learning models to forecast commodity price movements and market trends.
• Build and maintain robust data pipelines using Python and SQL, ensuring data quality and accessibility for analytics.
• Collaborate with cross‑functional teams to translate business requirements into analytical solutions and actionable insights.
• Conduct exploratory data analysis and statistical modeling on large, time‑series datasets to uncover patterns and inform strategy.
• Present findings to stakeholders through clear visualizations and concise reports, supporting decision‑making processes.

Requirements

• 5+ years of experience in data science or quantitative analytics, preferably in commodity or financial markets.
• Proficiency in Python, including libraries such as pandas, scikit‑learn, and statsmodels.
• Strong statistical background with experience in time‑series analysis and predictive modeling.
• Advanced SQL skills for data extraction and manipulation.
• Excellent communication skills and ability to explain complex models to non‑technical audiences.