Senior Data Scientist - Credit Eligibility

New
M
M-KOPAFintech
UK, Europe, Africa, UTC -1 to UTC +3Full-TimeSenior
Salary not disclosed
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Job Details

Required Skills
PythonSQLNumpyPandasA/B testingscikit-learn

Requirements

  • 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.)
  • 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

Responsibilities

  • Building and refining credit scoring and risk modelling solutions that assess customer creditworthiness, default risk, and loan pricing across multiple markets
  • Developing and testing ML models for loan eligibility and pricing optimisation through A/B testing and statistical analysis
  • Continuously improving eligibility criteria by analysing repayment data, engineering new features, and monitoring credit performance for risk shifts and margin impact
  • Collaborating cross-functionally with engineers, data scientists, and commercial stakeholders to scale models into production
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