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:
đź“ŤDevelop and implement models for our energy supply business using Python and other data science tools. đź“Ť Identify, analyze, and mitigate credit risk. đź“ŤConduct data analysis and modeling to support risk management decisions. đź“ŤStay current with industry developments and regulations related to credit risk management.
Requirements
đź“Ť2+ years of experience as a data scientist. đź“ŤStrong programming skills in Python and experience with data science tools such as Pandas, NumPy, and SciPy. đź“Ť Strong statistical and modeling skills. đź“Ť Strong communication and collaboration skills. đź“ŤExperience in the energy industry is a plus.
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