We're on a mission to back the UK's small businesses like no one elseSmall businesses are the backbone of the economy, and we're here to help them win. We've built a platform that uses clever data to get them the funding they need in minutes, not weeks. At Funding Circle, we have the restless energy of a fintech start-up with the stability of a public company. Read our Impact Report] | [See our Trustpilot]The role London (Hybrid) | 3 days in the office | Competitive Salary + BenefitsWe are looking for a Data Scientist to join us as we continue to evolve and build our next generation of models at Funding Circle. You will play a key role in developing, implementing and monitoring these models and drive significant value for the business. Develop statistical and machine learning models for commercial lending products. Deliver value through the optimization of current models and drive innovation by constantly seeking alternative data sources. Communication: Communicate and present effectively, turning complex analysis into clearly articulated insights. Problem Solving: Proactively problem-solve, identifying and mitigating any risks, issues, or control weaknesses in your day-to-day work. As part of the Decision Science team, you will create cutting edge statistical and machine learning models and collaborate with data engineers, analysts, and business stakeholders. End-to-end hands-on experience in statistical modeling, Machine Learning architecture, and deployment, demonstrated through production-level enterprise experience, high-impact research, or advanced project delivery. Strong proficiency in Python for data manipulation, statistical analysis, and modeling, with a focus on writing clean, efficient, and reproducible code. Deep operational familiarity with SQL, including writing optimised queries, joining complex multi-table datasets, and transforming raw enterprise data into analysis-ready formats. Track record of collaborating with cross-functional partners to translate technical outputs into actionable commercial insights, key metrics, or product improvements. Able to take ownership and designing workflows, using AI to automate complex tasks and drive operational efficiencyIdentify high-impact AI use cases and implement advanced prompting techniques to solve multi-layered business challengesSkills we'd love to see: Prior experience working in Credit Risk or Data Science spaceWe're building a place where everyone truly feels they belong. We back you to build an incredible career and by joining us, you'll be part of one of The Sunday Times Best Companies to Work For 2026! As a flexible-first employer, we use a "best of both" approach. We'll see you in our London office to collaborate – with barista coffee and subsidised Just Eat lunches on us! Our Circler Proposition focuses on five areas: Flexibility: We provide a benefit allowance you can tailor to your own life and family. Health: This includes private medical and dental, health assessments, and access to a digital GP.Wealth: We offer life assurance, share schemes, and financial coaching. Development: You get a dedicated annual learning allowance to help you level up. Lifestyle: We have electric car and cycle-to-work schemes, plus season ticket loans. We also have award-winning parental leave policies. We'd love to chat!
Marketing Data Scientist in London employer: Funding Circle
At Funding Circle, we pride ourselves on being an exceptional employer that champions the growth and well-being of our employees. With a vibrant work culture that combines the agility of a fintech start-up with the stability of a public company, we offer flexible working arrangements, competitive salaries, and comprehensive benefits including health support and professional development opportunities. Join us in London, where you can make a meaningful impact while enjoying perks like barista coffee, subsidised lunches, and a strong commitment to employee welfare.
