About the company
Our mission is to make cheap renewable energy accessible for everyone. We have raised $78m from top tier investors like Balderton, Lakestar, Accel, Creandum, Lowercarbon, and Ribbit. At Fuse, we believe in transparency – what you see is what you get. There are no hidden games, just hard work, problem-solving, and high quality output. Our workplace is a low-ego environment, where we help each other deliver great outcomes. We debate the best path forward, and then execute with precision. We prize a can-do attitude and a strong willingness to learn on a daily basis. We never settle – second best is not an option.
Job Summary
Responsibilities:
📍Develop and implement models for our energy supply business using Python and other data science tools. 📍 Identify, analyze, and mitigate credit risk. 📍Conduct data analysis and modeling to support risk management decisions. 📍Stay current with industry developments and regulations related to credit risk management.
Requirements
📍2+ years of experience as a data scientist. 📍Strong programming skills in Python and experience with data science tools such as Pandas, NumPy, and SciPy. 📍 Strong statistical and modeling skills. 📍 Strong communication and collaboration skills. 📍Experience in the energy industry is a plus.
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