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Senior Data Scientist Commodity Markets - RELX
Data Scientist
Lead advanced analytics for commodity markets, building predictive models and data pipelines in Python to drive strategic decisions for energy, petrochemical, and fertilizer sectors.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning models to forecast commodity price movements and supply‑chain dynamics.
- Build and maintain robust data pipelines using Python, SQL, and cloud services to ingest, clean, and transform large market datasets.
- Collaborate with cross‑functional teams to translate business requirements into analytical solutions and actionable insights.
- Conduct rigorous statistical analysis and time‑series modeling to support risk assessment and pricing strategies.
- Present findings to stakeholders through clear visualizations and executive‑level reports.
Requirements
- 5+ years of experience in data science or quantitative analytics within commodity or financial markets.
- Proficiency in Python, SQL, and libraries such as pandas, scikit‑learn, and statsmodels.
- Strong background in statistical modeling, time‑series analysis, and machine learning techniques.
- Experience with cloud platforms (AWS, Azure, or GCP) and data engineering best practices.
- Excellent communication skills and ability to explain complex models to non‑technical audiences.
Skills
pythonmachine learningsql