We're looking for a Senior Data Scientist who loves building predictive models and solving ambiguous data problems. You'll own the models that shape loan eligibility and pricing across 5 African markets. This is a small team with big responsibility, where your work directly shapes lending strategy for millions of customers. Your models will directly shape how millions of underserved customers access credit for the first time. We've already helped over 7 million customers access over $2 billion in credit - and we process over 1.5 million payments daily. It's your chance to be part of something that's literally transforming lives across an entire continent 🌍 🎯 Mission-driven data science: Build credit scoring and pricing models that expand financial access for customers traditionally excluded from formal lending 🏆 Global recognition: Join a company named by TIME 100 as one of the world's most influential and by the Financial Times as Africa's fastest-growing for 4 consecutive years (2022–2025) 🚀 Scale challenges: Work with rich repayment datasets across 5 African markets, developing ML models that balance growth with credit risk at scale 🌱 Environmental impact: We're carbon-negative, having displaced over 2.1 million tonnes of emissions Requirements: What You Need: Credit accessibility and affordability are at the core of this role. You'll join a small, high-performing team where every day brings new modelling challenges and analyses that shape our lending strategy. If building models that can transform financial access for millions of African customers excites you, we'd love to hear from you. Required Experience: Experience building predictive models, particularly credit scoring, risk models, or similar classification/regression problems Strong ML background with hands-on experience in model development, validation, deployment, and performance monitoring Proficiency in Python, SQL, and relevant ML libraries (scikit-learn, pandas, numpy, etc.) with experience in feature engineering, model selection, and hyperparameter tuning Experience translating complex model outputs into actionable business strategies and stakeholder communications Ability to work cross-functionally with product, engineering, and commercial teams Strong data communication skills — written, oral, and visual Highly Desirable: Experience in credit, underwriting, lending analytics, or fintech modelling
