Data Science Intern - Summer 2027

Responsibilities

• Daily Fundamentals Reporting
• Build, maintain, and deliver standardized daily reports summarizing natural gas supply and demand fundamentals (production, storage, weather-driven demand, pipeline flows, rig counts)
• Own the rollout of these standardized reports and monitor them on an ongoing basis, troubleshooting data issues and refining processes to reduce manual turnaround time and improve reliability
• Maintain data integrity across multiple third-party and internal data sources (e.g., EIA, pipeline bulletin boards, weather services, production estimates)
• Modeling & Analytics
• Partner with the Data Scientist and Strategist to develop and refine quantitative models aimed at identifying trading signals from fundamental and market data
• Support back-testing and validation of new analytical approaches, helping translate research into production-ready tools
• Aid in building supply/demand balance models and scenario analyses across key basins and pipeline systems
• Contribute to the automation and scaling of data pipelines that feed both daily reporting and longer-term research projects
• Cross-Functional Support
• Collaborate with traders to understand evolving information needs and adjust reporting/modeling priorities accordingly
• Support ad hoc analysis requests tied to specific trading opportunities, contract structuring, or market events
• Document methodologies and maintain clear version control across reporting and modeling tools

Qualifications

• Required:
• Bachelor's degree in Business, Finance, Economics, Mathematics, or a related quantitative field, preferably a May 2028 grad
• Working knowledge of SQL and Python or similar language for data analysis
• Demonstrated interest in commodity markets, trading, or energy fundamentals (coursework, internships, trading simulations/competitions, or independent projects)
• Excellent attention to detail and ability to manage recurring deliverables under time pressure
• Strong written and verbal communication skills; ability to translate technical analysis for a trading audience
• PREFERRED:
• Prior completion of WWM's Data Science Internship, or equivalent internship experience in energy trading, fundamentals, or data analytics
• Master's degree in Business, Finance, Economics, Mathematics, or a related quantitative field
• Experience with data visualization tools (Power BI, Tableau)
• Prior exposure to natural gas or broader energy markets
• Experience with trading simulations, mock portfolios, or derivatives strategy
• Ability to think critically and explain technical work to other colleagues

What Success Looks Like in the First Year

• Fully owns and continuously improves the daily fundamentals reporting suite, with traders relying on it as a core input to daily decision-making
• Contributed meaningfully to at least one modeling initiative alongside the Data Scientist/Strategist that has been incorporated into trading discussions
• Demonstrates growing fluency in natural gas market structure, pipeline mechanics, and the specific basins/systems relevant to the desk's positions