Data Scientist - Fintech

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.

Join Us in Empowering the UK’s Small Businesses At Funding Circle, we believe that small businesses are the backbone of the economy. Our innovative platform accelerates access to funding, allowing businesses to secure the capital they need in just minutes.We blend the agility of a fintech start-up with the security of a public company, empowering our team members—affectionately known as Circlers—to take ownership and drive impactful outcomes.Our high-performing culture is built on collaboration and support. We challenge one another, uplift our peers, and thrive as a united force to achieve meaningful results.Real Impact: Last year, the companies on our platform contributed £7.2bn to the UK economy Come join a mission that truly matters![View Our Impact Report] | [Check Our Trustpilot]The Role London (Hybrid) | 3 Days in the Office | Competitive Salary + BenefitsWe are seeking a Senior (Lead) Data Scientist to join our team as we innovate and refine our next generation of models. Your contributions will be crucial in developing, implementing, and monitoring these models to create substantial value for the business.As a member of the Decision Science team, you will engineer advanced statistical and machine learning models while collaborating with data engineers, analysts, and business stakeholders. You will enhance existing models and have the opportunity to create entirely new models as we expand our borrower products.Develop innovative statistical and machine learning models for commercial lending productsMaintain a strong focus on delivering tangible business outcomes and proactively challenge established normsProvide technical mentorship and guidance to junior team members throughout the model development processAdvise the team on best practices for risk managementOversee the experimentation framework for optimizing models

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.

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 This Role Matters M-KOPA has enabled over 7 million customers to access credit, distributing more than $2 billion in loans and processing upwards of 1.5 million payments each day. The models and insights produced in this role help underserved individuals secure credit, often for the first time, and contribute to a broader mission of financial inclusion. What Makes M-KOPA Stand Out Mission-driven data science: Build credit scoring and pricing models that expand financial access for customers outside traditional lending systems. Industry recognition: M-KOPA has been named to the TIME 100 list of most influential companies and recognized by the Financial Times as Africa's fastest-growing company for four years running (2022–2025). Scale and complexity: Work with large-scale repayment datasets from five African countries, designing machine learning models that balance growth and credit risk. Environmental commitment: Support a carbon-negative mission, with over 2.1 million tonnes of emissions displaced to date. What You Will Do Design, build, and refine predictive models that drive lending strategy, credit scoring, and pricing optimization. Collaborate with a small, high-performing team to take ownership of model development and deployment. Work cross-functionally with engineers, analysts, growth managers, and commercial stakeholders across multiple countries.

About Checkout.com Checkout.com helps businesses process payments smoothly, supporting companies such as eBay, ASOS, Klarna, Uber Eats, and Sony. The company operates behind the scenes to make global transactions efficient and reliable. Headquartered in London, Checkout.com maintains 19 offices on six continents. Teams focus on performance and innovation, aiming to shape the future of digital payments. Role Overview: Product Data Scientist The Product Data Scientist works within a cross-functional group that includes product managers, designers, and engineers. Insights from data help guide product strategy and define success metrics. Responsibilities include designing dashboards and reports, conducting analyses to spot opportunities for product improvements, and collaborating closely with the team to deliver on product goals. Data Analytics at Checkout.com supports business objectives at every level. In this role, a network of Analytics Engineers and Data Product Managers provides support to help drive growth and impact. Main Responsibilities Lead analytics for a product area: define, measure, and present key metrics, delivering insights that inform decisions. Use data to recommend updates to product roadmaps and identify opportunities for meaningful improvements. Work with Data Analytics and Software Engineering teams to ensure data is collected and modeled to support business insights. Promote a strong data culture within product teams, encouraging innovation and data literacy. Location This position is based in London.

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 the way individuals access credit and save money. As one of the fastest-growing fintech companies in the UK, we have quickly established ourselves as a leader in the industry.Recognized as a unicorn with a talented team of over 700 professionals.Consistently ranked among the fastest-growing technology companies in the UK.Achieved profitability since 2017.Supported by top investors, including Balderton Capital and Goldman Sachs.Highly rated by customers, boasting a 4.9 rating across tens of thousands of reviews on Trustpilot.We have revamped the Big Three consumer finance products: loans, credit cards, and car finance. Our mission is to expedite the process, providing our customers with funds in minutes rather than days.As we continue to expand, we are targeting the two largest Western markets (UK and US) where traditional banks still rely on outdated systems and cumbersome processes.Join Us If You Want ToTake ownership of significant projects from day one, making impactful decisions that steer the direction and success of Lendable.Collaborate with exceptional colleagues in small teams, working together to creatively solve problems and innovate beyond the status quo.Develop cutting-edge technology in-house, leveraging data sources, machine learning, and AI to automate complex tasks.About the RoleWe are in search of a seasoned Senior Product Data Scientist to spearhead product analytics for our dynamic multi-product app. In this influential position, you will uncover insights that drive the enhancement of our Zable app, impacting over 1 million users on both iOS and Android. Your contributions will significantly inform product strategy and elevate the core user experience.

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.

About LendableLendable is dedicated to creating the finest technology to empower individuals in obtaining credit and managing their finances effectively. We are rapidly establishing ourselves as a leader in the fintech sector with significant momentum:Recognized as one of the UK’s newest unicorns, our team comprises over 700 talented professionals.Ranked among the fastest-growing tech companies in the UK.Achieved profitability since 2017.Supported by premier investors, including Balderton Capital and Goldman Sachs.Praised by our customers, with exceptional ratings (4.9 based on thousands of reviews on Trustpilot).To date, we have reimagined the three primary consumer finance products: loans, credit cards, and car finance. Our goal is to provide funds to our customers within minutes rather than days.As we continue to grow, we are targeting the two largest Western markets (the UK and US), where substantial financial assets are managed by large banks with outdated systems and cumbersome processes.Join Us If You Want ToTake ownership of significant responsibilities. From day one, you will have the autonomy to make decisions that significantly influence Lendable's trajectory and success.Collaborate with small teams of exceptional individuals who are resourceful in solving challenges and discovering innovative solutions.Develop top-tier technology internally, leveraging new data sources, machine learning, and AI to minimize manual workloads.About the RoleWe are in search of an accomplished Lead Product Data Scientist to spearhead product analytics for our rapidly evolving multi-product application. In this influential role, you will be instrumental in deriving insights that enhance our Zable app, utilized by over 1 million customers on both iOS and Android platforms. Your insights will have a direct impact on product strategy and enhance the core user experience.

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.

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.

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.

About Checkout.com Checkout.com powers the payment infrastructure for brands such as eBay, ASOS, Klarna, Uber Eats, and Sony. The company focuses on building seamless online checkout experiences, helping businesses move money securely and efficiently. Headquartered in London, Checkout.com operates globally, handling billions of transactions each year. The team values innovation, performance, and continuous improvement. Role Overview: Senior Product Data Scientist The Senior Product Data Scientist partners closely with product managers, designers, engineers, and analysts to turn data into actionable insights. This role shapes product strategy by defining success metrics, guiding data collection, designing dashboards and reports, and analyzing trends to identify ways to improve products. The position is central to product success and works alongside a strong network of Analytics Engineers, Product Data Scientists, and Data Product Managers. What You Will Do Lead analytics for a product pillar: define, measure, and present key metrics, and deliver insights that drive action. Influence product roadmaps by making data-driven recommendations and spotting opportunities for impactful improvements. Work with Data Analytics Engineers and Software Engineers to ensure data is collected and modeled accurately for business insights. Encourage a data-focused mindset across product teams to enable informed decisions. Location This position is based in London.

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.

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.