Senior Data Scientist

1 day ago

Nairobi, Nairobi Area, Kenya Pezesha Full time 1,500,000 - 3,000,000 per year

Location:Nairobi, Kenya (Hybrid/Remote options available)Reports to:Data Science ManagerAbout PezeshaPezesha is a leading embedded finance company that provides affordable and data-driven credit solutions to MSMEs across Africa. We combine technology, alternative data, and financial partnerships to close the $360B financing gap for small businesses while ensuring sustainable financial inclusion.We are looking for aSenior Data Scientistto join our team and lead the development of advanced credit risk models, strategic insights, and business intelligence tools that drive high repayment rates, operational efficiency, and portfolio growth. This role is critical in strengthening our risk management framework and scaling our impact across the continent.Core ResponsibilitiesCredit Risk Model DevelopmentDevelop, test, and iterate credit risk models on a quarterly basis.Ensure repayment rates consistently exceed 95%, with a default rate of less than 3%across all portfolios.Strategic Data InsightsProvide data-driven insights and reports to portfolio leads, senior management, and external stakeholders.Translate findings into actionable strategies to enhance performance and mitigate risks.Data Extraction, Cleaning & MiningLead the end-to-end processes of data extraction, cleaning, transformation, and mining.Build datasets that power descriptive, predictive, and spatial models to support decision-making.Cross-Functional ExperimentationDesign and lead experiments across business units to optimize products, processes, and risk strategies.Measure and communicate results to ensure learnings drive continuous improvements.Business Intelligence DevelopmentDevelop and enhance BI tools to maximize product efficiency, improve Lifetime Value (LTV), and gross margins.Deliver at least two major BI tool enhancements or new feature implementations per quarter.Real-Time Dashboards & ReportingBuild and maintain real-time dashboards with a 99% uptime and accuracy target.Deliver monthly finance reports on-time and with > 99% accuracy in reports. Continuously add to exception reports to enhance portfolio quality and leverage AI + automation to improve reporting processes.Ensure accurate and timely lender reporting, portfolio impact analysis, and internal business reporting.Documentation & TransparencyMaintain clear documentation of models, experiments, and workflows to ensure reproducibility and transparency.Mentorship & Team LeadershipMentor junior data scientists and analysts, fostering a collaborative, learning-driven culture.Lead the data science team in setting priorities, managing workloads, and delivering high-quality outputs.Task Delegation & Ad Hoc PrioritiesExecute tasks assigned by the CEO, COO, Data Science Manager or CDO, prioritizing based on organizational goals and impact.Key Performance Indicators (KPIs)LMS Accuracy:Achieve and maintain ≥ 98% accuracyin Learning Management System data validation.- Sprint Completion:Deliver 90%+ completion ratefor planned sprints on time.- SLA Adherence:Maintain 95%+ adherenceto Service Level Agreements (SLAs) across data services.- Knowledge Transfer:Deliver and track quarterly KT sessionsand training for the data team.- Credit Risk Model Performance:Maintain 95% repayment rateand

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