{"id":94937,"date":"2026-04-23T16:02:13","date_gmt":"2026-04-23T16:02:13","guid":{"rendered":"https:\/\/jobs.dataaxisnode.com\/kenya\/job\/senior-data-scientist-credit-eligibility\/"},"modified":"2026-04-23T16:02:48","modified_gmt":"2026-04-23T16:02:48","slug":"senior-data-scientist-credit-eligibility","status":"publish","type":"job_listing","link":"https:\/\/jobs.dataaxisnode.com\/kenya\/job\/senior-data-scientist-credit-eligibility\/","title":{"rendered":"Senior Data Scientist &#8211; Credit Eligibility"},"content":{"rendered":"<p>What You&#8217;ll Do<\/p>\n<p>\tAt M-KOPA, you&#8217;ll build and refine the machine learning and credit risk models that power our lending strategy. You&#8217;ll sit within a small, high-performing team with end-to-end ownership of credit scoring, loan eligibility, and pricing optimisation \u2014 working cross-functionally with engineers, analysts, growth managers, and commercial stakeholders across multiple countries. Join us in combining cutting-edge data science with purpose-driven work that makes digital and financial inclusion possible across Africa.<\/p>\n<p>Day to day, you&#8217;ll be:<\/p>\n<p>\tBuilding and refining credit scoring and risk modelling solutions that assess customer creditworthiness, default risk, and loan pricing across multiple markets<br \/>\n\tDeveloping and testing ML models for loan eligibility and pricing optimisation through A\/B testing and statistical analysis<br \/>\n\tContinuously improving eligibility criteria by analysing repayment data, engineering new features, and monitoring credit performance for risk shifts and margin impact<br \/>\n\tCollaborating cross-functionally with engineers, data scientists, and commercial stakeholders to scale models into production<\/p>\n<p>Technical Environment <\/p>\n<p>\tLanguages &amp; Libraries: Python, SQL, scikit-learn, pandas, numpy, and relevant ML libraries<br \/>\n\tTechniques: Predictive modelling, classification\/regression, feature engineering, model selection, hyperparameter tuning, A\/B testing<br \/>\n\tDomain: Credit scoring, underwriting, loan pricing, risk analytics<\/p>\n<p>Our Team Approach<\/p>\n<p>\tLow-ego environment where diversity, innovation, and collaboration drive both commercial growth and social impact<br \/>\n\tHigh degree of ownership over your domain \u2014 you&#8217;re empowered to make data-driven decisions and prioritise solutions<br \/>\n\tCross-functional collaboration with engineering, product, and commercial teams across multiple countries<br \/>\n\tAnalytical rigour combined with deep market understanding to serve customers excluded from formal financial services<\/p>\n<p>What You Need<\/p>\n<p>\tCredit accessibility and affordability are at the core of this role. You&#8217;ll join a small, high-performing team where every day brings new modelling challenges and analyses that shape our lending strategy. If building models that can transform financial access for millions of African customers excites you, we&#8217;d love to hear from you.<\/p>\n<p>Required Experience:<\/p>\n<p>\tExperience building predictive models, particularly credit scoring, risk models, or similar classification\/regression problems<br \/>\n\tStrong ML background with hands-on experience in model development, validation, deployment, and performance monitoring<br \/>\n\tProficiency in Python, SQL, and relevant ML libraries (scikit-learn, pandas, numpy, etc.) with experience in feature engineering, model selection, and hyperparameter tuning<br \/>\n\tExperience translating complex model outputs into actionable business strategies and stakeholder communications<br \/>\n\tAbility to work cross-functionally with product, engineering, and commercial teams<br \/>\n\tStrong data communication skills \u2014 written, oral, and visual<\/p>\n<p>Highly Desirable:<\/p>\n<p>\tExperience in credit, underwriting, lending analytics, or fintech modelling<\/p>\n<p>Location &amp; Benefits<\/p>\n<p>\tFully remote Data Scientist role within\u00a0UTC -1 to UTC +3\u00a0time zones<br \/>\n\tWork with diverse teams across UK, Europe, and Africa<br \/>\n\tProfessional development programmes and coaching partnerships<br \/>\n\tFamily-friendly policies and flexible working arrangements<br \/>\n\tWell-being support and career growth opportunities<\/p>\n<p>Apply Through:<\/p>\n<p>jobs.ashbyhq.com<\/p>\n","protected":false},"author":2,"featured_media":0,"template":"","meta":{"_promoted":"","_job_location":"","_application":"http:\/\/jobs.ashbyhq.com","_company_name":"M-KOPA Solar","_company_website":"http:\/\/www.m-kopa.com\/","_company_tagline":"M-KOPA\u2019s mission is to make high quality energy affordable to everyone. OUR GROWTH SO FAR\u2026 M-KOPA has connected more than 400,000 homes in Kenya,Tanzania and Uganda to solar power with over 550 new homes being added every day. Each 8W battery powered-system comes with three lights, m... read moreobile phone-charging and a solar powered radio. Customers can now opt for a 20W system with digital TV. As of July 2016, M-KOPA has connected over 400,000 homes to affordable solar power. Current customers will make projected savings of US$ 300 Million over the next four years. M-KOPA\u2019s customers will enjoy 50 million hours of kerosene-free lighting per month. Total employment created in East Africa is 2,500. In March 2016, M-KOPA emerged boldest at Financial Times Arcelor Mittal- Boldness in Business Awards in the Developing Markets category. In February 2016, M-KOPA was recognised as the Best Mobile Innovation for Emerging Markets at the Global Mobile Awards. In 2015, M-KOPA was recognised by Fortune Magazine as one of the Top 50 Companies Changing The World and won the Zayed Energy Future Prize. M-KOPA has also won the 2014 Bloomberg Pioneer Award and 2013 FT\/IFC Excellence in Sustainable Finance Award.","_company_twitter":"","_company_video":"","_filled":0,"_featured":0,"_remote_position":0,"_job_salary":"","_job_salary_currency":"","_job_salary_unit":""},"job_listing_region":[692],"job-categories":[693,720,719,700],"job-types":[746],"class_list":{"0":"post-94937","1":"job_listing","2":"type-job_listing","3":"status-publish","4":"hentry","5":"job_listing_region-nairobi","7":"job-type-full-time-remote"},"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/job-listings\/94937","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/job-listings"}],"about":[{"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/types\/job_listing"}],"author":[{"embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/users\/2"}],"wp:attachment":[{"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/media?parent=94937"}],"wp:term":[{"taxonomy":"job_listing_region","embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/job_listing_region?post=94937"},{"taxonomy":"job_listing_category","embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/job-categories?post=94937"},{"taxonomy":"job_listing_type","embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/job-types?post=94937"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}