Collections Data Scientist
Are you ready to turn data into action and make a real impact? Thames Water is looking for a skilled and driven Collections Data Scientist to join our dynamic Credit Risk team.This is a unique opportunity to work at the forefront of credit risk analytics, helping to shape smarter collections strategies, reduce bad debt, and improve customer outcomes. As part of a priority investment area, you’ll play a key role in transforming how we use data—working closely with senior stakeholders, digital teams, and data owners to deliver best-in-class portfolio management.What you will be doing as the Collections Data Scientist In this pivotal role, you’ll lead deep-dive analysis into customer portfolio trends, build predictive models, and support the transition to our enterprise data lake. Your insights will directly influence operational improvements, policy decisions, and long-term financial resilience.You will also:
- Develop and maintain SQL-based reporting solutions to drive actionable insights.
- Collaborate with the Credit Reporting & Insight team to ensure analytics meet business needs.
- Partner with the Digital Team to align data governance and infrastructure.
- Work with the Income Leadership Team to shape strategy and support decision-making.
- Champion a culture of data-driven thinking across the Income function.
- Conduct root cause analysis of debt accumulation trends.
- Build and refine predictive models for credit risk and debt recovery.
- Provide insights to support the Bad Debt Transformation programme.
- Support the migration to a data lake environment, ensuring data integrity and accessibility.
- Create scalable, efficient SQL code and reporting frameworks.
- Embed analytics into strategic decision-making across the business.
- Proven experience in credit risk analytics, debt management, or financial modelling.
- Strong SQL skills for querying, reporting, and optimisation.
- Proficiency in Python and/or R for modelling and visualisation.
- Experience working in cross-functional teams and translating data into strategy.
- Familiarity with cloud platforms like Azure Data Lake, AWS, or Google Cloud.
- A degree (or equivalent experience) in Data Science, Mathematics, Statistics, or similar.
- A passion for continuous improvement and data-led transformation.
- Experience migrating from traditional databases to data lake architecture.
- Background in Utilities or Financial Services.
- Exposure to SAP or DM9 environments.
- Knowledge of machine learning techniques relevant to credit risk.
- Competitive starting salary of £53,910 per annum.
- Annual leave: 26 days holiday per year, increasing to 30 with the length of service. (plus bank holidays).
- Performance-related pay plan directly linked to both company and individual performance measures and targets.
- Generous Pension Scheme through AON.
- Access to lots of benefits to help you take care of you and your family’s health and wellbeing, and your finances – from annual health MOTs and access to physiotherapy and counselling, to Cycle to Work schemes, shopping vouchers and life assurance.
- Company
- Thames Water
- Location
- Kembrey Park, Swindon, Wiltshire, England, United Kingdom
Hybrid/Remote Options - Employment Type
- Full-Time
- Salary
- Competitive salary
- Posted
- Company
- Thames Water
- Location
- Kembrey Park, Swindon, Wiltshire, England, United Kingdom
Hybrid/Remote Options - Employment Type
- Full-Time
- Salary
- Competitive salary
- Posted