Hybrid Collections Data Scientist: Debt Analytics

idibu; Swindon; On-site; GBP 53,000 - 62,000; Full time

Job summary

A leading water company is seeking a skilled Collections Data Scientist to enhance customer experience and reduce bad debt. In this role, you will analyze data trends, develop predictive models, and collaborate with stakeholders to support a data-driven culture. Ideal candidates should have significant experience in credit risk analytics, strong SQL proficiency, and programming skills in Python or R. The position offers a hybrid work model with competitive salary and benefits.

Benefits

Competitive salary

Annual leave: 26 days holiday per year

Performance-related pay

Generous Pension Scheme

Health and wellbeing benefits

Qualifications

• Proven experience in credit risk analytics or debt management.
• Strong background in data science techniques.
• Hands-on experience with SQL for querying and reporting.
• Advanced proficiency in SQL for data optimisation.
• Programming skills in Python and/or R.
• Familiarity with cloud-based data platforms.

Responsibilities

• Conduct deep-dive analysis into customer portfolio trends.
• Develop and refine predictive models for credit risk assessment.
• Support Bad Debt Transformation programme with data insights.
• Transition to a data lake environment.
• Develop reporting solutions using SQL.
• Champion data-driven decision-making.

Skills

Credit risk analytics

Predictive modelling

Statistical analysis

SQL

Python

R

Data manipulation

Education

Degree in Data Science, Mathematics, Statistics, or related field

Tools

Azure Data Lake

AWS

Google Cloud

Job description

A leading water company is seeking a skilled Collections Data Scientist to enhance customer experience and reduce bad debt. In this role, you will analyze data trends, develop predictive models, and collaborate with stakeholders to support a data-driven culture. Ideal candidates should have significant experience in credit risk analytics, strong SQL proficiency, and programming skills in Python or R. The position offers a hybrid work model with competitive salary and benefits.