Data Scientist – Credit Eligibility
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Data Scientist building credit scoring and pricing models at M-KOPA for underserved customers in Africa. Collaborating cross-functionally with teams to improve financial access.
Responsibilities:
- 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:
- Professional development programmes and coaching partnerships
- Family-friendly policies and flexible working arrangements
- Well-being support and career growth opportunities
Similar Jobs
Data Scientist – Credit Eligibility
Data Scientist at M-KOPA building predictive models for credit eligibility and pricing across African markets. Collaborating with various teams to enhance financial inclusion for underserved customers.
Data Scientist – Financial Crimes Modeling
Data Scientist II responsible for AML/CTF models and analytics solutions at TD. Fostering insights for strategic planning and compliance in Financial Crimes Modeling.
Cientista de Dados Sênior
Senior Data Scientist at SysMap developing advanced ML models and AI architectures for innovative solutions across various sectors.
Media and Marketing Data Scientist
Media and Marketing Data Scientist at Go Fish Digital bridging complex datasets and actionable insights. Collaborating with cross-functional teams to enhance the company’s data capabilities through analysis and reporting.
Principal Data Scientist
Principal Data Scientist developing and deploying cutting-edge fraud detection systems at SheerID. Collaborating with teams to build scalable AI/ML models for data-driven marketing.
Senior Data Science Analyst
Senior Data Analyst at Valid driving analytical solutions for business and product decisions. Collaborating across teams to develop data-driven insights and implement machine learning models.
Innovation, Data Science Internship
Data Science Intern at Businessolver working on advanced analytics and model development in an innovative culture. Collaborating with scientists and engineers to enhance data-driven products.
Data Scientist
Data Scientist at KoBold Metals utilizing AI to discover battery metals. Building predictive models and datasets for exploration in collaboration with leading geoscientists.
Lead Data Scientist – Financial Crimes Modeling
Lead Data Scientist responsible for financial crimes modeling and analytics. Utilizing data science techniques to inform decision making and strategic planning across TD's operations.
Data Scientist – FCRM Model Risk Governance Strategy
Data Scientist III providing technical leadership in analytics for TD. Collaborating on complex data analysis and driving business outcomes.
AI Data Scientist
AI Data Scientist role at HandTalk focusing on driving applied research in multimodal AI and LLMs. Collaborate on challenging projects that enable communication between deaf and hearing individuals.
Senior Managing Director, Data Science & AI
Senior Managing Director focusing on data science and AI strategy at Cayuse. Leading business development, client advisory services, and establishing data capabilities.
Data Science, Machine Learning Intern
Data Science Internship providing 1-1 mentorship and real-world project experience for aspiring IT professionals. Engaging in machine learning and data science collaboration with industry experts.
Senior Data Scientist
Senior Data Scientist at Tenchi analyzing cyber security datasets and collaborating with teams to improve security posture. Focused on data-driven models and visualizations for user experience.
Director, Data Science – Commercial Analytics
Director of Data Science and Commercial Analytics at Cristcot, leading data functions for a biotech focused on ulcerative colitis therapy. Collaborating with cross-functional teams to drive data-informed decision-making.
Senior Data Scientist
Senior Data Scientist responsible for developing ML models and conducting advanced statistical analyses for CIEE's data solutions. Collaborating cross-functionally to deliver actionable insights.
Manager, Product Analytics
Manager, Product Analytics at Fuze Health leading metrics strategy and building a high-performing analytics team. Collaborating with Product and Operations teams to drive data insights for business decisions.
Data Scientist
Data Scientist developing analytical solutions for fraud detection at Actionable Outcomes. Collaborating with stakeholders and domain experts in a remote environment to provide actionable insights.
Data Scientist
Data Scientist bridging multifamily revenue management and data science at ApartmentIQ. Working with leadership and engineering to design data-driven products for pricing intelligence.
Research Data Scientist III – Brain Research
Research Data Scientist III engaging in clinical discovery through advanced analytics and machine learning. Collaborating with PIs and cross-functional teams to drive impactful neuroscience research.