Portfolio Revenue & Debt Data Scientist
Portfolio Revenue & Debt Data Scientist

Portfolio Revenue & Debt Data Scientist

Full-Time 43800 - 61000 £ / year (est.) No home office possible
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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 benefits.
  • Why this job: Make a real impact on customer outcomes and financial resilience.
  • Qualifications: Experience in SQL, Python, and credit risk analytics required.
  • Other info: Flexible working arrangements and meaningful career opportunities await you.

The predicted salary is between 43800 - 61000 £ per year.

Are you ready to turn data into action and make a real impact? 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:

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.
  • 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.

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 £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.

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.

Real purpose, real support, real opportunities. Come and join the Thames Water family.

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 employer: Thames Water Utilities Limited

Thames Water is an exceptional employer, offering a dynamic work environment where data-driven insights directly impact customer outcomes and operational strategies. With a competitive salary, generous benefits including a robust pension scheme, and a commitment to employee growth through meaningful career opportunities, you will thrive in a culture that values diversity and inclusivity. Located in the heart of the UK, this hybrid role allows for flexibility while contributing to a vital service that supports millions, making every day at Thames Water both rewarding and impactful.
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Contact Detail:

Thames Water Utilities Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Portfolio Revenue & Debt Data Scientist

✨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 practising common questions and showcasing your skills. Think about how your experience with SQL and predictive modelling can solve real problems for the company. Show them you’re the one they need!

✨Tip Number 3

Don’t just apply anywhere—focus on companies that align with your values and career goals. When you find a role that excites you, apply through our website to ensure your application gets the attention it deserves.

✨Tip Number 4

Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in their minds as they make their decision.

We think you need these skills to ace Portfolio Revenue & Debt Data Scientist

SQL
Data Cleansing
Predictive Modelling
Python
Statistical Analysis
Credit Risk Analytics
Debt Management
Financial Modelling
Cloud Platforms (Azure Data Lake, AWS, Google Cloud)
Data Governance
Machine Learning Techniques
Cross-Functional Team Collaboration
Data Integrity
Data Lake Architecture

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 you made a significant impact, including the metrics and results. This will show us how you can add value to our team.

Show Off Your SQL Skills: Since SQL is key for this role, don’t shy away from showcasing your proficiency. Include examples of how you've used SQL to extract and transform data in your previous roles. We want to see your technical prowess!

Be Clear and Concise: When writing your application, clarity is crucial. Use straightforward language and avoid jargon. We appreciate a well-structured application that gets straight to the point—this reflects your analytical skills!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application reaches us without any hiccups. Plus, it shows your enthusiasm for joining the Thames Water family!

How to prepare for a job interview at Thames Water Utilities Limited

✨Know Your SQL Inside Out

As a Portfolio Revenue & Debt Data Scientist, you'll need to demonstrate your SQL prowess. Brush up on writing complex queries that extract, join, and transform large datasets. Be ready to discuss specific examples of how you've used SQL in past projects to drive insights.

✨Showcase Your Predictive Modelling Skills

Prepare to talk about your experience with predictive modelling, especially in credit risk analytics. Bring examples of models you've built, the data you used, and the impact they had on decision-making. This will show your ability to turn data into actionable insights.

✨Understand the Business Context

Familiarise yourself with Thames Water's mission and the role of the Credit Risk team. Be prepared to discuss how your skills can contribute to smarter collections strategies and reducing bad debt. Showing that you understand the business context will set you apart.

✨Prepare for Technical Questions

Expect technical questions related to data cleansing, validation, and using Python for statistical analysis. Practice explaining complex concepts in simple terms, as you'll need to relay insights to non-technical stakeholders. This will demonstrate your communication skills and adaptability.

Portfolio Revenue & Debt Data Scientist
Thames Water Utilities Limited

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