Energy Systems Data Scientist
Street, Somerset, United Kingdom
Pattern Energy Group
forecasting/analytics/research. Required Knowledge Familiarity with capacity expansion, production cost models, or energy-related software. Ability to work with datasets specific to energy systems, such as grid network models, load profiles, and pricing data. Strong knowledge of data wrangling and cleaning techniques, especially for time series, spatial, and network data. Excellent programming skills in common languages … e.g., Python) and packages used by the energy modeling field (e.g., geopandas, numpy, networkx, pandas), use of software best practices (e.g., Git), and familiarity with high-performance computing environments. Experience with extracting, transforming, and loading processes and tools for handling large-scale datasets. Demonstrated ability to develop and deploy Feature Engineering and Modeling applications to data platforms built on More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted: