Decision Science Lead

Decision Science Lead London £70,000 to £90,000 plus benefits This is an opportunity to step into a high impact Decision Science Lead role within a fast growing fintech environment. You will play a key role in shaping credit risk strategy through advanced analytics and machine learning, with strong exposure to senior stakeholders and clear progression opportunities. The Company They are a scaling fintech business operating in the consumer lending space, focused on delivering innovative, data driven solutions. With a strong market presence and growing customer base, they are competing with some of the largest players in the industry. The business combines a collaborative, agile culture with a clear ambition to continue expanding its analytics capability. The Role • Develop and enhance credit risk models including scorecards, behavioural, acquisition and fraud models • Build predictive models using advanced statistical and machine learning techniques • Deploy models into production using AWS SageMaker and collaborate with engineering teams • Monitor model performance and ensure ongoing effectiveness across business and technical metrics • Generate insights and present clear, actionable recommendations to stakeholders • Explore new data sources and modelling approaches to drive innovation • Work closely with cross functional teams to influence lending and risk decisions Your Skills and Experience • Strong commercial experience within consumer credit and lending environments • Proven ability to develop credit risk models, including scorecards or predictive models • Strong programming skills in Python and SQL with experience working in cloud environments such as AWS • Solid grounding in statistics and machine learning • Experience working with large, complex datasets and delivering business insights • Strong communication skills with the ability to influence stakeholders • Experience with model deployment is highly beneficial • Exposure to dbt is desirable What They Offer • Salary between £70,000 and £90,000 • Hybrid working with two to three days in the office each week • Competitive benefits package including bonus, pension and private medical cover • Strong career progression opportunities within a growing data function • A collaborative and supportive working environment with exposure to senior leadership