M-KOPA

Data Scientist – Credit Eligibility

M-KOPA

full-time

Posted on:

Location Type: Remote

Location: Kenya

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About the role

  • Building and refining credit scoring models 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

Requirements

  • Experience building predictive models, particularly credit scoring, risk models, or similar classification/regression problems
  • 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
Benefits
  • Fully remote role within UTC -1 to UTC +3 time zones
  • Work with diverse teams across UK, Europe, and Africa
  • Professional development programmes and coaching partnerships
  • Family-friendly policies and flexible working arrangements
  • Well-being support and career growth opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
credit scoring modelspredictive modelsrisk modelsmachine learningmodel developmentmodel validationmodel deploymentperformance monitoringfeature engineeringhyperparameter tuning
Soft Skills
collaborationdata communicationstakeholder communicationcross-functional teamworkanalytical skills