Credit Risk Data Scientist - Hybrid, Revenue & Debt

Cactus Search; United Kingdom; Hybrid; GBP 32,000 - 54,000; Full time

Benefits offered by this job

Hybrid work

Salary up to £54k

Job summary

Cactus Search is seeking a Revenue & Debt Data Scientist to join its UK-based Credit Risk function. You will lead deep-dive analyses of customer portfolio trends, build predictive models for credit risk and debt recovery, and help transition to an enterprise data lake.

The role requires strong SQL and Python, data cleansing, and experience with cloud platforms (Azure/AWS/GCP). You will translate data into actionable strategy for cross-functional teams and contribute to data governance and

Qualifications

• Proficient in SQL for querying, joining, and transforming large datasets.
• Experienced in data cleansing, validation, and predictive modelling.
• Strong in Python for statistical analysis and able to communicate insights to non-technical stakeholders.
• Proven experience in credit risk analytics, debt management, or financial modelling.
• Comfortable working cross-functionally and translating data into actionable strategy.
• Familiarity with cloud platforms such as Azure, AWS, or Google Cloud.
• Degree (or equivalent) in Data Science, Mathematics, Statistics, or a related field.

Responsibilities

• Conduct root cause analysis of debt accumulation trends.
• Build and refine predictive models for credit risk and debt recovery.
• Develop and maintain SQL-based reporting solutions to drive actionable insights.
• Collaborate across teams to align data governance, infrastructure, and reporting needs.
• Embed analytics into strategic decision-making and champion data-driven thinking.

Skills

SQL

Python

Data cleansing

Predictive modelling

Credit risk analytics

Stakeholder communication

Cloud platforms

Cross-functional collaboration

Education

Degree in Data Science/ Mathematics/ Statistics

Tools

Azure

AWS

Google Cloud

Job description

Cactus Search is seeking a Revenue & Debt Data Scientist to join its UK-based Credit Risk function. You will lead deep-dive analyses of customer portfolio trends, build predictive models for credit risk and debt recovery, and help transition to an enterprise data lake.

The role requires strong SQL and Python, data cleansing, and experience with cloud platforms (Azure/AWS/GCP). You will translate data into actionable strategy for cross-functional teams and contribute to data governance and