Collections Data Scientist

Pertemps; England; Hybrid; GBP 54,000; Full time

Job summary

A leading UK water company seeks a skilled Collections Data Scientist to enhance data-driven strategies within the Credit Risk team. This hybrid role involves deep-dive analysis, predictive modeling, and collaboration with stakeholders, offering a competitive salary of £53,910 and excellent benefits. Join us to make a significant impact on millions of lives while supporting innovative debt prevention strategies.

Benefits

26 days holiday per year

Pension Scheme through AON

Health and wellbeing benefits

Performance-related pay plan

Qualifications

• Proven experience in credit risk analytics or debt management.
• Strong background in predictive modelling and statistical analysis.
• Hands-on experience with SQL for querying and reporting.

Responsibilities

• Conduct deep-dive analysis into customer portfolio trends.
• Develop and refine predictive models for credit risk assessment.
• Support operational improvements through data-led insights.

Skills

Credit risk analytics

SQL

Predictive modelling

Data science techniques

Python

R

Education

Degree in Data Science or related field

Tools

Azure Data Lake

AWS

Google Cloud

Job description

Overview

Are you ready to turn data into action? Thames Water is looking for a skilled and driven Collections Data Scientist to join our dynamic Credit Risk team.

What you will be doing as the Collections Data Scientist: In this pivotal role, you will help shape data-led strategies that enhance customer experience and reduce bad debt, making a real impact on millions of lives across the region. As part of a priority investment area, this is your chance to work at the forefront of Credit Risk Analytics, supporting smarter collections through advanced insight and proactive debt prevention. Working closely with a talented team and senior stakeholders, you’ll help deliver best-in-class portfolio management, drive innovation in our data capabilities, and ensure analytics are seamlessly aligned with our digital infrastructure.

Responsibilities

• Deep dive analysis: Conduct deep-dive analysis into customer portfolio trends to identify root causes of debt accumulation, enabling preventative measures to be implemented.
• Create and refine predictive models: Develop and refine predictive models and analytical frameworks to improve credit risk assessment and optimise debt recovery strategies.
• Deliver bad debt improvements: Support the Bad Debt Transformation programme by providing data-led insights that drive operational improvements and policy recommendations.
• Transition to the Data Lake: Support the transition to a data lake environment, allowing us to link together big data sets and unlock insights that we have not had available to us before.
• Create and maintain new reporting: Develop new reporting solutions using SQL to drive actionable insights, enhancing debt management strategies.
• Champion data-driven decision making: Partner with key stakeholders to embed a culture of data-driven decision-making within the Income function, ensuring analytics remain at the heart of business strategy.

What you should bring to the role

• Proven experience in credit risk analytics, debt management, or financial modelling, preferably within a collections or customer income function.
• Strong background in applying data science techniques to real-world business problems, with demonstrable experience in predictive modelling and statistical analysis.
• Hands-on experience with SQL for querying, data extraction, and reporting, with a focus on efficiency and maintainability.
• Proficient in working in cross-functional teams, collaborating with stakeholders to translate complex data insights into actionable strategies.
• Advanced proficiency in SQL for data querying, reporting, and optimisation. Ability to write high-quality, efficient, and maintainable SQL code for queries, ensuring scalability and long-term usability.
• Strong programming skills in Python and/or R for data manipulation, modelling, and visualisation.
• Familiarity with cloud-based data platforms and tools, such as Azure Data Lake, AWS, or Google Cloud.
• Degree, or equivalent experience, in a quantitative field such as Data Science, Mathematics, Statistics, Computer Science, or related discipline.
• Strong working knowledge of Microsoft Office products, specifically Excel.

Desirable Experience

• Prior involvement in transitioning data environments, such as migrating from traditional databases to a data lake architecture.
• Experience within Utilities or Financial Services.

Location and hours

Location: Hybrid - Walnut Court - SN2 8BN.

Hours: 36 hours per week, Monday to Friday.

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.

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. 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.

Learn more about our purpose and values

Learn more about our purpose and values.

Working at Thames Water

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. Why choose us? Learn more.

Disclaimer

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.