Data Science Intern - Summer 2027

WhiteWater is seeking an early-career professional for its data science and natural gas market analytics team. The role supports quantitative modeling, supply and demand analysis, data pipeline automation, and reporting that informs commodity trading decisions.

What you'll do:

• Build, maintain, and deliver standardized daily reports summarizing natural gas supply and demand fundamentals (production, storage, weather-driven demand, pipeline flows, rig counts) used directly by traders to inform positioning
• 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
• Monitor and flag material shifts in fundamental data that could influence price movement, escalating findings to traders and senior analysts in real time
• Maintain data integrity across multiple third-party and internal data sources (e.g., EIA, pipeline bulletin boards, weather services, production estimates)
• 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
• Assist 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
• 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

What they're looking for:

• Bachelor's degree in Business, Finance, Economics, Mathematics, or a related quantitative field
• 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
• Prior completion of WWM's Natural Gas Analyst / 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