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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - Credit Eligibility - **Company:** M-KOPA - **Location:** Newcastle upon Tyne, UK (Remote available) - **Experience:** Expert - **Contract:** Internship / Graduate position - **Skills:** A/B Testing, Data Transmissions, Python (Programming Language), Machine Learning, NumPy, SQL Databases, Feature Engineering, Model Validation, Pandas, Scikit Learn, Performance Monitor - **Published:** September 10, 2026 - **Apply:** https://www.collegerecruiter.com/job/2840589111-senior-data-scientist-credit-eligibility ## About the Role * 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 ## Description * 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 Technical Environment * Languages & Libraries: Python, SQL, scikit-learn, pandas, numpy, and relevant ML libraries * Techniques: Predictive modelling, classification/regression, feature engineering, model selection, hyperparameter tuning, A/B testing * Domain: Credit scoring, underwriting, loan pricing, risk analytics, * Fully remote Data Scientist 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 M-KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply. M-KOPA explicitly prohibits the use of Forced or Child Labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily, without coercion, and freely terminate their employment on appropriate notice. M-KOPA shall ensure that its Employees are of legal working age and shall comply with local laws for youth employment or student work, such as internships or apprenticeships. M-KOPA does not collect/charge any money as a pre-employment or post-employment requirement. This means that we never ask for 'recruitment fees', 'processing fees', 'interview fees', or any other kind of money in exchange for offer letters or interviews at any time during the hiring process. Applications for this position will be reviewed on a rolling basis. Shortlisting and interviews will take place at any stage during the recruitment process. We reserve the right to close the vacancy early if a suitable candidate is selected before the advertised closing date. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Vectorize all the things! 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