At a Glance
- Tasks: Transform data into actionable insights and lead credit risk analytics.
- Company: Join Thames Water, the UK's largest water and wastewater company.
- Benefits: Competitive salary, generous leave, pension scheme, and health perks.
- Why this job: Make a real impact on customer outcomes and financial resilience.
- Qualifications: Proficient in SQL and Python, with experience in credit risk analytics.
- Other info: Flexible working arrangements and meaningful career opportunities await you.
The predicted salary is between 44000 - 60000 £ per year.
Thames Water is looking for a skilled and driven Portfolio Revenue & Debt 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 Portfolio Revenue & Debt Data Scientist:
- Lead deep-dive analysis into customer portfolio trends, build predictive models, and support the transition to our enterprise data lake.
- 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.
Key Responsibilities:
- 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.
What you should bring to the role:
- Proficiency in writing SQL queries to extract, join, and transform large datasets for MI/reporting and predictive modelling.
- Experience in data cleansing, validation, and building predictive models.
- Proficiency in Python for statistical analysis and able to relay insights to non-technical stakeholders.
- Proven experience in credit risk analytics, debt management, or financial modelling.
- 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.
Desirable Experience:
- 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.
Location: Hybrid - Walnut Court - SN2 8BN.
Hours: 36 hours per week, Monday to Friday.
Application Requirement: All applicants must include a covering letter describing a time when you added specific value to a project through your insight, inclusive of the metrics impacted and the results delivered.
What’s in it for you?
- 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.
We’re the UK’s largest water and wastewater company, with more than 16 million customers relying on us every day to supply water for their taps and toilets. We want to build a better future for all, helping our customers, communities, people, and the planet to thrive. It’s a big job and we’ve got a long way to go, so we need help from passionate and skilled people, committed to making a difference and getting us to where we want to be in the years and decades to come.
Thames Water is a unique, rewarding, and diverse place to work, where every day you can make a difference, yet no day is the same. As part of our family, you’ll enjoy meaningful career opportunities, flexible working arrangements and excellent benefits.
If you’re looking for a sustainable and successful career where you can make a daily difference to millions of people’s lives while helping to protect the world of water for future generations, we’ll be here to support you every step of the way. Together, we can build a better future for our customers, our region, and our planet.
We’re committed to being a great, diverse, and inclusive place to work. We welcome applications from everyone and want to ensure you feel supported throughout the recruitment process. If you need any adjustments, whether that’s extra time, accessible formats, or anything else just let us know, we’re here to help and support.
When a crisis happens, we all rally around to support our customers. As part of Team Thames, you’ll have the opportunity to sign up to support our customers on the frontline as an ambassador. Full training will be given for what is undoubtedly an incredibly rewarding experience. It’s also a great opportunity to learn more about our business and meet colleagues.
Disclaimer: due to the high volume of applications we receive, we may close the advert earlier than the advertised date, so we encourage you to apply as soon as possible to avoid disappointment.
Portfolio Revenue & Debt Data Scientist - Swindon, Swindon employer: Thames Water
Contact Detail:
Thames Water Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Portfolio Revenue & Debt Data Scientist - Swindon, Swindon
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their values and how your skills align with their goals. This will help you stand out and show that you're genuinely interested in being part of their team.
✨Tip Number 3
Practice your data storytelling skills! Be ready to explain your past projects and how your insights made an impact. Use clear examples that highlight your analytical prowess and ability to communicate with non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining Thames Water and making a difference in the community.
We think you need these skills to ace Portfolio Revenue & Debt Data Scientist - Swindon, Swindon
Some tips for your application 🫡
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Make sure to highlight a specific project where your insights made a real difference. Don’t forget to include the metrics impacted and the results delivered – we want to see how you’ve added value!
Show Off Your SQL Skills: Since this role involves a lot of data manipulation, be sure to mention your SQL prowess. Give examples of how you've used SQL to extract and transform data in previous roles. We love seeing practical applications of your skills!
Be Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon unless it’s relevant. We appreciate a well-structured application that gets straight to the point – it shows us you can communicate effectively.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Thames Water
✨Know Your SQL Inside Out
Since the role heavily relies on SQL for reporting and predictive modelling, make sure you brush up on your SQL skills. Prepare to discuss specific queries you've written in the past and how they helped drive insights or decisions.
✨Showcase Your Predictive Modelling Experience
Be ready to talk about your experience with predictive models, especially in credit risk analytics. Bring examples of how your models have influenced business strategies or improved outcomes, and be prepared to explain your thought process.
✨Understand the Business Context
Research Thames Water and its Credit Risk team. Understand their challenges and how data can help solve them. This will allow you to tailor your answers and demonstrate that you're not just a data expert but also someone who understands the bigger picture.
✨Prepare Your Success Stories
Think of specific instances where your insights made a significant impact on a project. Use the STAR method (Situation, Task, Action, Result) to structure your responses, focusing on metrics and outcomes that highlight your contributions.