Data Scientist (Mid and Senior Level)

In this data science role at Zopa, you will own and advance models that support consumer credit decisions. You’ll partner with Credit Strategy, Product and Engineering to translate ambiguous questions into robust analyses and production-ready models. Expect hands-on modeling, measurement of value drivers, and clear communication to diverse stakeholders. You’ll operate in a collaborative, high-impact environment aimed at improving credit risk and business outcomes.

• hybrid role with London office 2-3 days per week
• option to work from abroad up to 120 days a year
• focus on work-life balance
• flexible ways of working
• collaborative culture
• diversity and inclusion initiatives

• Turn ambiguous credit questions into practical models and analyses
• Build, improve and maintain models that support consumer-credit decisions
• Develop flagship risk models and value-driver models (revenue, profit, CLV)
• Use Python and statistical judgement for classification and regression
• Collaborate with Credit Strategy to prioritise and frame solutions
• Coordinate with Product and Engineering to productionise solutions
• Explain technical choices clearly and build consensus to move decisions forward
• Own problems and delivery in a low-ego, collaborative team

• Hands-on data science experience
• Practical Python and Git capability
• Understanding of statistical-learning models for classification and regression
• Strong statistical fundamentals (hypothesis testing, experimental design)
• Ability to take an ambiguous problem from discussion to a useful model
• Clear and confident communication with technical and non-technical stakeholders
• Ability to build alignment across differing views and drive progress
• Curious, practical and comfortable with limited hand-holding
• Effective collaboration across business, Product and Engineering partners

• clear communication
• collaboration
• curiosity
• Python
• Git
• statistical-learning models (classification/regression)