CWP Energy's WPred platform, which provides weather intelligence for renewable energy operators in North America and Europe, is seeking a Data Science Intern. The intern will work with the data scientist on the core forecasting platform, focusing on evaluating new data sources, performing quality checks, and contributing findings to improve forecast accuracy. The role involves working with real data pipelines and seeing direct impact on the product.
Evaluate new variables that could improve forecast accuracy, reanalysis datasets, observational feeds and make the case for adopting them.,Compare external data against our internal data to surface gaps and opportunities.,Run validation workflows that feed directly into model improvement cycles.,Collaborate with the data scientist to translate findings into actionable changes in the forecasting pipeline.
Pursuing a degree in Data Science, Statistics, Computer Science, Applied Math, or related field.,Comfortable in Python; SQL is a major plus.,Curious about weather, energy, or geospatial data.,Asks good questions and doesn't wait to be told what to do next.
Bachelor's Degree (in progress) or equivalent university program for academic credit
Must be completed for academic credit as part of a university program, Requires in-office presence
CWP Energy specializes in electricity and renewable energy markets, providing real-time market intelligence, hedging strategies, and risk management tools. They leverage data-driven insights and proprietary trading opportunities to optimize assets, manage risks, and drive growth, accelerating the energy transition with smarter solutions.
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