About this role
Salary: £41,000 - 58,000 per year
Requirements: 4+ years of experience building and maintaining production-grade machine learning systemsStrong knowledge of predictive modelling and credit risk concepts, including IV, ROC AUC, SHAP, PD, EAD, LGD and expected lossExperience writing production-grade code and maintaining high-quality codeComfort working with Python, SQL, Snowflake, dbt, ZenML, Dagster and Weights & BiasesAbility to communicate technical findings and explain their commercial impact to stakeholdersExperience in highly automated lending, price sensitivity modelling or Customer Lifetime Value is a plusComfortable using AI as an accelerant and taking ownership of outcomes Responsibilities: Own the full lifecycle of our credit risk models, from development through deployment and maintenanceBuild fast, reproducible and robust production machine learning systemsDesign modelling frameworks for decisioning, pricing and fraud that improve company-wide financial performanceDevelop credit policies and lending strategies that expand our addressable market while managing riskEnsure model improvements are statistically significant and assessed for data leakage and biasTranslate technical findings into business trade-offs, including the revenue and loss implications of model performanceReview code, mentor colleagues and contribute to shared team libraries Technologies: AIMachine LearningPythonSQLSnowflakedbtREST More:
We built Wayflyer to help small businesses access growth capital more quickly and easily. Our technology assesses businesses, generates financing offers based on their growth potential and can send funds within 24 hours. We have deployed over $6 billion to thousands of businesses worldwide, with backing from Tier 1 banks including J.P. Morgan. Youll work with colleagues around the world as we build the next generation of commercial credit, using AI across our technology stack. This Senior Data Scientist role is part of our Technology department and offers opportunities to grow into Staff or leadership positions, with influence over our risk strategy and team direction. The role is based in Dublin or London on a hybrid basis. We offer 25 days of annual leave plus public holidays, private healthcare, life insurance, a pension, equity, generous parental leave and the option to work abroad for up to 60 days a year.
last updated 40 week of 2026