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