As Data Scientist, Eskil develops AI-based alerts that detect issues early, enabling our installations to be operated safely and efficiently. He also optimises batteries to maximise value for customers and analyses new installations and markets to identify the best solutions going forward.

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Eskil holds a master's degree in computer science from the University of Nottingham.

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