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Senior Data Scientist Commodity Markets - RELX INC
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 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.
Skills
pythonmachine learningsql