Credit Risk Data Scientist: Revenue & Debt Analytics

Thames Water; Swindon; Hybrid; GBP 45,000 - 54,000; Full time

Job summary

A leading water and wastewater company in the UK is seeking a skilled Portfolio Revenue & Debt Data Scientist to enhance credit risk analytics. This role focuses on developing predictive models and refining data strategies. Applicants should have proven SQL proficiency, experience in financial modeling, and a relevant degree. The company offers competitive salary, a hybrid work environment, and strong benefits including a pension scheme and employee wellness initiatives.

Benefits

Competitive salary

Annual leave: 26 days increasing to 30

Performance-related pay plan

Generous Pension Scheme

Health and wellbeing benefits

Qualifications

• Confident in writing SQL queries for reporting and predictive modeling.
• Experience in data cleansing and validation.
• Proficient in Python for statistical insights.
• Experience with cloud platforms, preferably data lakes.

Responsibilities

• Lead analysis into customer portfolio trends.
• Build predictive models for credit risk.
• Conduct root cause analysis of debt trends.
• Provide insights for the Bad Debt Transformation programme.
• Create SQL code and reporting frameworks.

Skills

SQL proficiency

Data cleansing

Predictive modeling

Python for analysis

Credit risk analytics

Financial modeling

Cross-functional collaboration

Education

Degree in Data Science, Mathematics, Statistics or similar

Tools

Azure Data Lake

AWS

Google Cloud

Job description

A leading water and wastewater company in the UK is seeking a skilled Portfolio Revenue & Debt Data Scientist to enhance credit risk analytics. This role focuses on developing predictive models and refining data strategies. Applicants should have proven SQL proficiency, experience in financial modeling, and a relevant degree. The company offers competitive salary, a hybrid work environment, and strong benefits including a pension scheme and employee wellness initiatives.