Data Scientist

Are you ready to turn data into action and make a tangible impact? We’re looking for a skilled and driven Revenue & Debt Data Scientist to join a dynamic Credit Risk function. This is a unique opportunity to work at the forefront of credit risk analytics, helping shape smarter collections strategies, reduce bad debt, and improve outcomes for customers.In this pivotal role, you’ll lead deep-dive analysis into customer portfolio trends, build predictive models, and support the transition to an enterprise data lake. Your insights will directly influence operational improvements, strategic decisions, and long-term financial resilience.What you’ll do:

• Conduct root cause analysis of debt accumulation trends.
• Build and refine predictive models for credit risk and debt recovery.
• Develop and maintain SQL-based reporting solutions to drive actionable insights.
• Collaborate across teams to align data governance, infrastructure, and reporting needs.
• Embed analytics into strategic decision-making and champion data-driven thinking.

What we’re looking for:

• Proficient in SQL for querying, joining, and transforming large datasets.
• Experienced in data cleansing, validation, and predictive modelling.
• Strong in Python for statistical analysis and able to communicate insights to non-technical stakeholders.
• Proven experience in credit risk analytics, debt management, or financial modelling.
• Comfortable working cross-functionally and translating data into actionable strategy.
• Familiarity with cloud platforms such as Azure, AWS, or Google Cloud.
• Degree (or equivalent) in Data Science, Mathematics, Statistics, or a related field.

Desirable:

• Experience migrating from traditional databases to data lake architectures.
• Background in Financial Services or other regulated industries.
• Exposure to SAP/DM9 environments.
• Knowledge of machine learning techniques relevant to credit risk.

What we offer:

• Hybrid working flexibility (South West).
• Competitive salary of up to £54,000 per annum + benefits.
• Opportunities to work on high-impact projects that shape strategy and operations.

If you’re passionate about using data to drive decisions and make a difference, we’d love to hear from you -