Collections Data Scientist – Predictive Credit Risk

Thames Water Utilities Limited; United Kingdom; Hybrid; GBP 54,000; Full time

Job summary

A leading water utility company in the UK is seeking a skilled Collections Data Scientist to join their dynamic Credit Risk team. This role involves analyzing customer portfolio trends, developing predictive models, and supporting a transition to an enterprise data lake. Candidates should have experience in credit risk and strong SQL and Python skills. The position offers competitive salary and benefits, including flexible working arrangements.

Benefits

26 days annual leave

Performance-related pay plan

Generous Pension Scheme

Health and wellbeing benefits

Qualifications

• 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.

Responsibilities

• Conduct root cause analysis of debt accumulation trends.
• Build and refine predictive models for credit risk and debt recovery.
• Support the migration to a data lake environment, ensuring data integrity.

Skills

SQL

Python

Data-driven thinking

Credit risk analytics

Financial modelling

Education

Degree in Data Science, Mathematics, Statistics, or similar

Tools

Azure Data Lake

AWS

Google Cloud

SAP

DM9

Job description

A leading water utility company in the UK is seeking a skilled Collections Data Scientist to join their dynamic Credit Risk team. This role involves analyzing customer portfolio trends, developing predictive models, and supporting a transition to an enterprise data lake. Candidates should have experience in credit risk and strong SQL and Python skills. The position offers competitive salary and benefits, including flexible working arrangements.