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For Companies At a Glance
- Tasks: Lead analysis on customer trends and build predictive models for credit risk.
- Company: Join Thames Water, the UK's largest water and wastewater company.
- Benefits: Competitive salary, generous leave, pension scheme, and health benefits.
- Why this job: Make a real impact on customer outcomes and financial resilience.
- Qualifications: Proficient in SQL and Python, with experience in data analytics.
- Other info: Hybrid working environment with opportunities for career growth.
The predicted salary is between 46000 - 61000 ÂŁ 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.
What you will be doing as the Portfolio Revenue & Debt 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.
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
To thrive in this role, you must be able to confidently answer YES to the following:
- Are you proficient in writing SQL queries to extract, join, and transform large datasets for MI/reporting and predictive modelling?
- Have you got experience in data cleansing, validation, and building predictive models?
- Are you proficient in Python for statistical analysis and able to relay insights to non‑technical stakeholders?
In addition, you will bring:
- 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.
- The results delivered.
What’s in it for you?
- Competitive starting salary of ÂŁ53,910 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.
Who are we?
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. 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, we’re here to help and support.
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 in Swindon employer: idibu
Contact Detail:
idibu Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Portfolio Revenue & Debt Data Scientist in Swindon
✨Tip Number 1
Get your networking game on! Reach out to current or former employees at Thames Water through LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview like it’s a big exam. Research the company’s recent projects and challenges in credit risk analytics. This shows you’re genuinely interested and ready to contribute right from day one.
✨Tip Number 3
Practice your SQL and Python skills before the interview. Be ready to discuss specific examples of how you’ve used these tools to solve problems. Real-life scenarios will make your experience stand out!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team at Thames Water.
We think you need these skills to ace Portfolio Revenue & Debt Data Scientist in 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. Use metrics to back up your claims and show us the impact you had.
Show Off Your SQL Skills: Since SQL is key for this role, don’t shy away from showcasing your proficiency. Mention any complex queries you've written or how you've used SQL to drive insights in past projects.
Be Data-Driven in Your Approach: We love data-driven thinkers! In your application, emphasise how you've used data to inform decisions or strategies in previous roles. This will resonate well with our focus on analytics.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way to ensure we see your amazing skills and experience!
How to prepare for a job interview at idibu
✨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 building and refining predictive models. Bring examples of how your models have influenced credit risk strategies or debt recovery efforts, and be prepared to explain your thought process.
✨Understand the Business Context
Familiarise yourself with Thames Water's operations and the challenges they face in credit risk analytics. This will help you tailor your answers to show how your skills can directly benefit their goals, especially in improving customer outcomes.
✨Prepare for Cross-Functional Collaboration
This role involves working with various teams, so think of examples where you've successfully collaborated across functions. Highlight how you translated complex data into actionable strategies that non-technical stakeholders could understand.
