Data Scientist - Credit Eligibility

Role Overview M-KOPA is hiring a Data Scientist focused on Credit Eligibility, based in London. This role centers on developing predictive models that shape loan eligibility and pricing for millions of customers across five African markets. The work directly supports M-KOPA’s mission to expand financial access and improve lending strategies at scale. Why Thi…

Role overview M-KOPA is looking for a Senior Data Scientist - Credit Eligibility to join its Credit & Underwriting team. This fully remote position is based in London. The focus is on developing and refining machine learning models that guide loan eligibility and pricing decisions across five African markets. Team members work closely together, and the models built here have a direct impact on lending strategies for millions of customers. Impact at scale The credit models created in this role help millions of underserved people gain access to credit, often for the first time. M-KOPA has enabled over 7 million customers to secure more than $2 billion in credit, with more than 1.5 million payments processed daily. The work supports a mission that is changing lives across Africa. Why join M-KOPA? Mission-driven data science: Build credit scoring and pricing models to expand financial access for people who are often excluded from traditional lending. Global recognition: M-KOPA is listed on the TIME 100 as one of the world’s most influential companies and has been named Africa’s fastest-growing business by the Financial Times every year from 2022 to 2025. Technical scale: Work with large-scale repayment data from multiple markets, developing models that balance growth with credit risk management. Environmental commitment: The company is carbon-negative, having offset more than 2.1 million tonnes of emissions. What you will do Design, build, and enhance machine learning and credit risk models that support M-KOPA’s lending strategies. Take responsibility for credit scoring, loan eligibility, and pricing optimization as part of a focused, high-performing team.

m-kopa is hiring a Senior Analyst - Credit Risk & Eligibility in London. This position centers on analyzing credit risk and evaluating eligibility for the company’s financial products. Role overview This role focuses on assessing credit risk and supporting the development of credit assessment processes. The Senior Analyst will help refine how eligibility is determined, contributing to improvements that support m-kopa’s goal of expanding access to financial solutions. Key responsibilities Analyze credit risk for a range of financial products. Evaluate eligibility criteria and recommend process enhancements. Support ongoing improvements in credit assessment methods. Impact This work directly supports m-kopa’s mission to provide financial access in underserved markets. The Senior Analyst’s insights will help shape the company’s future approach to credit risk and eligibility.

Join Wayflyer as a Senior Credit Risk Data Scientist and play a pivotal role in shaping the future of financial technology. In this position, you will leverage your expertise in data science to analyze credit risk and contribute to innovative solutions that empower businesses. Collaborate with a dynamic team, utilizing advanced statistical methods and machine learning techniques to provide actionable insights and drive strategic decision-making.

About LendableLendable is on an ambitious journey to create the world's leading technology for enabling access to credit and facilitating savings. We are rapidly emerging as one of the foremost fintech firms globally, with a remarkable trajectory:Recognized as one of the UK's newest unicorns, our talented team exceeds 700 individuals.We are among the fastest-growing tech companies in the UK.Achieved profitability since 2017.Supported by prestigious investors such as Balderton Capital and Goldman Sachs.Adored by customers, boasting top reviews (4.9 stars across thousands of reviews on Trustpilot).To date, we have reimagined the Big Three consumer finance products from the ground up: loans, credit cards, and car finance. Our innovative approach ensures that customers receive funds within minutes instead of days.With our rapid growth, we are poised to tackle the two largest Western markets (UK and US), where vast financial assets are managed by traditional banks with outdated systems and cumbersome processes.Why Join Us?Embrace ownership across diverse responsibilities. From day one, you will have the autonomy to make impactful decisions that shape Lendable's success.Collaborate with exceptional teams who are committed to resourcefulness in solving problems and developing innovative solutions.Develop cutting-edge technology in-house, utilizing advanced data sources, machine learning, and AI to optimize our processes.About the RoleWe are thrilled to welcome a new Data Scientist to our dynamic team! As a leader in real rate risk-based pricing, Lendable provides consumers with clear insights and product assurance during the application process. Data Science is integral to this unique selling proposition, crafting robust credit risk models for our loan and credit card offerings.You will leverage the latest machine learning methodologies alongside a comprehensive data repository to construct market-leading risk models.

Are you a passionate data scientist looking to make a significant impact in a dynamic environment? Join Marshmallow as a Staff Data Scientist and leverage your expertise to drive innovative data solutions. In this role, you will work closely with cross-functional teams to analyze complex datasets, develop predictive models, and provide actionable insights that enhance our product offerings.

About LendableLendable is dedicated to revolutionizing technology that empowers individuals to access credit and save money. We are rapidly establishing ourselves as one of the foremost fintech companies globally, achieving remarkable milestones:Recognized as one of the UK's newest unicorns with a vibrant team of over 700 innovators.Ranked among the fastest-growing tech enterprises in the UK.Profitable since 2017.Supported by esteemed investors, including Balderton Capital and Goldman Sachs.Highly rated by customers, boasting a 4.9-star rating across thousands of reviews on Trustpilot.To date, we have redefined the Big Three consumer finance products: loans, credit cards, and car finance. Our innovative approach allows us to deliver funds to our customers in minutes rather than days.As we continue to expand, we are targeting the two largest Western markets (UK and US), which hold trillions of dollars in financial products managed by legacy banks with outdated systems and cumbersome processes.Join Us If You Want ToTake ownership of a diverse range of responsibilities, making impactful decisions that shape the future of Lendable from day one.Collaborate in small teams of exceptional talent, consistently finding smarter solutions to complex challenges.Develop cutting-edge technology in-house, leveraging new data sources, machine learning, and AI to streamline processes.About the RoleWe are thrilled to announce an opening for a Senior Data Scientist to join our team! This role is ideal for individuals with a strong background in building predictive models, particularly in credit, lending, or related financial services sectors. As a leader in real rate risk-based pricing, Lendable provides consumers with unparalleled transparency and assurance at the application stage. Data Science is central to our unique selling proposition, as we develop credit risk models to underwrite loan and credit card offerings.You will have the opportunity to work with the latest machine learning techniques and access a wealth of rich data resources to drive our analytics efforts forward.

Join Almedia as a Data Scientist, where you will play a crucial role in transforming data into actionable insights. Collaborate with cross-functional teams to analyze complex datasets, develop predictive models, and support data-driven decision-making.

Join our dynamic team at Axle Careers as a Data Scientist, where you will leverage your analytical skills to extract meaningful insights from complex datasets. You will collaborate with cross-functional teams to develop innovative data-driven solutions that enhance business performance and drive strategic decision-making.

Join Spotify's innovative team as a Data Scientist in our Subscriptions division! We are looking for a passionate individual who can leverage data to drive impactful decisions and enhance our subscription offerings. You will collaborate with cross-functional teams to analyze data trends, develop predictive models, and contribute to our mission of delivering exceptional user experiences.

Join degree6 as a Data Scientist specializing in the fintech sector, where you will leverage your analytical skills to drive innovation and insights. You will be pivotal in developing data-driven solutions that enhance financial services and contribute to the evolution of our products.

We are seeking a highly skilled and innovative Lead Data Scientist to join our dynamic team at Faculty. In this role, you will leverage your expertise in advanced analytics and machine learning to drive impactful data-driven solutions. You will lead a team of talented data scientists, guiding them in the development of predictive models and analytical frameworks that support our mission to optimize outcomes across various sectors.

Join degree6 as a Data Scientist in the fast-paced world of fintech. In this pivotal role, you will leverage your analytical expertise to drive data-driven decisions, enhance product features, and create innovative solutions that solve real-world financial challenges. You will work in a collaborative environment, engaging with cross-functional teams to deliver impactful insights and contribute to the advancement of cutting-edge financial technologies.

About GoCardlessGoCardless is a pioneering global bank payment platform that empowers over 100,000 businesses, ranging from innovative startups to established brands, to seamlessly collect and send payments through direct debit, real-time payments, and open banking.With an impressive annual processing volume exceeding US$130bn across more than 30 countries, we facilitate both recurring and one-off payments, alleviating the burdens of follow-ups, stress, and high fees. Our AI-driven solutions enhance payment success rates and minimize fraud risks. Additionally, our open banking integration with over 2,500 banks enables our customers to make faster and more informed financial decisions.Headquartered in the UK, with offices in London and Leeds, we also have a presence in Australia, France, Ireland, Latvia, Portugal, and the United States.At GoCardless, we prioritize support and are dedicated to making our hiring process inclusive and accessible. If you require any adjustments or additional support, please reach out to your Talent Partner — we are here to assist you!Remember, we do not expect you to meet every single requirement. If you are enthusiastic about this role, we encourage you to apply!The RoleData is at the heart of our mission. We utilize bank account information to deliver intelligent payment solutions, enhancing payment success rates and preventing payer fraud.As a Senior Data Scientist in our Payment Intelligence team, you will collaborate with Software Engineers, Product Managers, and Designers to transform innovative concepts into reality. You will be responsible for the complete lifecycle of our algorithms, from the initial idea to the production-ready code that drives our global payment network.Our tech stack is centered around Google Cloud Platform and Vertex AI, creating a high-performance environment for innovation. Our Data Scientists work at the intersection of Python, SQL, and BigQuery to develop and deploy high-performance models at scale.Key ResponsibilitiesLead the comprehensive delivery of models at scale, from initial discovery and feature engineering to production, A/B testing, and ongoing monitoring.Collaborate with cross-functional teams to design and implement advanced data-driven solutions.

Role overview Wise seeks a Lead Data Scientist for the Trust and Safety team in London. The main focus is protecting the platform and its users by applying advanced analytics to financial security challenges. This position involves tackling real-world risks and helping to keep Wise’s services safe for everyone. What you will do Analyze large and complex data sets to identify trends and detect suspicious activity Develop and improve models that reduce risk and prevent fraud Collaborate with stakeholders to guide strategic decisions through data-driven insights Shape new methods to strengthen platform security and build user trust Impact The work in this role directly supports Wise’s goal of making money transfers seamless and secure. Efforts here influence how Wise protects its customers and upholds the integrity of its services.

Join our dynamic team at Intercom as a Senior Data Scientist, where you will leverage your analytical expertise to drive data-driven decisions and contribute to our innovative product development. In this role, you will collaborate with cross-functional teams to build models that enhance user experiences and optimize our services.

Join DeepL as a Senior Data ScientistDeepL is a pioneering AI product and research organization dedicated to crafting secure, intelligent solutions to tackle complex business challenges. With a clientele of over 200,000 businesses and millions of users in 228 global markets, our Language AI platform is relied upon for its human-like translations, enhanced writing capabilities, and real-time voice translation.Founded in 2017 by CEO Jarek Kutylowski, DeepL now boasts a talented team of over 1,000 individuals and backing from esteemed investors like Benchmark, IVP, and Index Ventures. Our mission is to lead the global AI technology space by developing products that enhance communication, foster connections, and make a significant impact on society. We seek passionate professionals ready to innovate and grow their careers in a dynamic and purpose-driven environment.What Makes DeepL UniqueAt DeepL, we blend cutting-edge AI technology with meaningful work in a culture that champions individual growth. Our team of innovators, researchers, and creators shares a vision to unlock human potential by making work more efficient, smarter, and interconnected.Our employees frequently express positive sentiments about their experiences at DeepL, attributing it to our impactful technology and the values of trust, curiosity, and care that permeate our culture.Joining DeepL means becoming part of a dedicated team committed to innovation, growth, and employee well-being. Explore more about life at DeepL on our LinkedIn, Instagram, and Blog.

About ZegoAt Zego, we believe that traditional motor insurance can be a barrier for exemplary drivers. It's often too complex, costly, and fails to accurately reflect real driving behavior.Since our inception in 2016, we've dedicated ourselves to transforming the insurance landscape. Our goal is to provide the most affordable insurance options for responsible drivers.Our diverse clientele, ranging from van drivers and gig economy workers to everyday car owners, is at the core of our operations.Having successfully sold tens of millions of policies and secured over $200 million in funding, we are just getting started on this exciting journey.Your RoleWe are in search of a Lead Data Scientist to join our Core Pricing team, reporting directly to the Head of Data Science. You will play a critical role in shaping and executing a high-performance data-science operating model, swiftly transforming concepts into production-ready pricing and risk models.Key ResponsibilitiesLead the development and enhancement of next-generation risk models, managing all aspects from innovative feature discovery and sophisticated modeling to dependable pipeline deployment and strategic R&D initiatives.Implement a robust Data Science workflow: ensuring clear guidelines, templates, and documentation throughout the project lifecycle.Accelerate the idea-to-production timeline: from initial data acquisition to live rate adjustments.Promote a culture of collaborative experimentation: integrating Pricing, Data Science, Machine Learning Engineering, and Systems Engineering.Team leadership and mentorship: oversee a team of 2 Data Scientists, guiding their professional growth and development.Establish coding standards and best practices, mapping common processes and creating playbooks.Assist in selecting tools utilized throughout the Data Science project lifecycle.

Are you passionate about data and eager to drive innovation? Join Hudl as a Lead Data Scientist and take the reins in shaping data-driven strategies. In this role, you will leverage advanced analytics to enhance performance across various teams and projects, while mentoring junior data scientists to foster their growth.

Join our dynamic team at inmotion as a Member Eligibility Advisor. In this pivotal role, you will be responsible for ensuring that our members receive the highest level of service and support regarding their eligibility.As a Member Eligibility Advisor, you will engage with members to clarify their eligibility requirements, assist in navigating our systems, and provide valuable information to enhance their experience. Your ability to communicate effectively and empathetically will be key to your success in this role.