[Apply Now] Data Scientist

About the role We’re on a mission to make affordableloans available to more people. Using the power of Open Banking, wehave built state-of-the-art technology that allows us to lookbeyond traditional credit scores and offer fairer credit to peopleignored by traditional lenders. We have two parts of our business.On the consumer side, we have Abound. Abound has proven that ourapproach works at scale, with over £300 million lent to-date. Whileother lenders only look at your credit score, we use Open Bankingto look at the full picture – what you earn, how you spend, andwhat’s left at the end. On the B2B side, we have Render. Render isour award-winning software-as-a-service platform that allows Aboundto make better, less risky lending decisions. And less riskydecisions mean we can offer customers better rates than they canusually find elsewhere. We’re taking Render global so that morecompanies, from high-street banks to other fintechs, can offeraffordable credit to their customers. The data science team,currently 8 members, focuses on pricing, classification of openbanking data and credit decisioning. All data scientists activelycontribute to building Render, by being embedded in the tech team.What you'll be doing: 1. Develop, implement and maintain advancedAI and machine learning models to improve credit decisioning, riskand affordability assessments. 2. Analyse large datasets of OpenBanking data to extract insights on customer financial behaviourand affordability. 3. Collaborate with cross-functional teams totransform data insights into pioneering solutions, addressingcomplex technical challenges that set new industry standards anddrive product strategy and growth. 4. Design and implement scalabledata analytics infrastructure to support Abound's rapid growth. 5.Contribute to the development and refinement of the Rendertechnology platform. 6. Stay abreast of industry trends in AI,machine learning, and fintech to drive innovation. Who you are: 1.You have an advanced degree (Master's or Ph.D.) in Data Science,Machine Learning, Statistics, or a related field. 2. You possess1-2 years of experience in a data science role, preferably relatedto credit risk or finance. 3. You're proficient in SQL and Python.4. You have a strong background in statistical modelling, machinelearning algorithms, and data mining techniques (NLP is a plus). 5.You're passionate about leveraging AI and data to improve financialinclusion and access to fair credit. 6. You have excellentcommunication skills and can translate complex data insights forboth technical and non-technical stakeholders. 7. You're adaptable,innovative, and thrive in a fast-paced, high-growth environment. 8.Experience with AWS is a plus. What we offer: - Everyone owns apiece of the company - equity. - 25 days’ holiday a year, plus 8bank holidays. - 2 paid volunteering days per year. - One monthpaid sabbatical after 4 years. - Employee loan. - Free gymmembership. - Save up to 60% on an electric vehicle through oursalary sacrifice scheme with Loveelectric. - Team wellness budgetto be active together - set up a yoga class, a tennis lesson or gobouldering. #J-18808-Ljbffr