August 15
🏢 In-office - London
• 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.
• 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.
• Competitive salary and a stock options sign-on bonus • Biannual bonus scheme • Fully expensed tech to match your needs! • 28 days paid annual leave per year including public holiday
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