Decision Science Lead

About the role

This is an opportunity to step into a high‑impact Decision Science Lead role within a fast‑growing fintech environment. You will shape credit risk strategy through advanced analytics and machine learning, working closely with senior stakeholders.

Key responsibilities

• 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.

Required profile

• Strong commercial experience within consumer credit and lending environments.
• Proven ability to develop credit risk models, including scorecards or predictive models.
• 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.

Required skills

• Python
• SQL
• AWS (especially SageMaker)
• Statistical modelling and machine learning
• Experience with model deployment
• Exposure to dbt (desirable)

What we offer

• Salary between £70,000 and £90,000 per year.
• 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.
• Collaborative and supportive working environment with exposure to senior leadership.