Credit Risk Data Scientist — Predictive Modeling Lead

Gravitas Group; Crewe; On-site; GBP 50,000 - 60,000; Full time

Benefits offered by this job

Competitive salary and bonus scheme

Comprehensive benefits package

Autonomy and ownership

Job summary

Gravitas Group in Crewe is seeking a Data Scientist (Credit Risk) to design and deploy credit risk models across the customer lifecycle. You will work with Credit, Finance, Commercial and Analytics stakeholders to translate business challenges into scalable data science solutions.

The role offers autonomy, exposure to senior stakeholders, and a modern analytics environment. Candidates should have 3+ years in data science or credit risk modelling, strong Python/SQL, and proven ability to build

Qualifications

• 3+ years' experience in Data Science, Credit Risk Modelling, Quantitative Analytics, or similar.
• Proven experience building and validating predictive models in a commercial environment.
• Strong Python and SQL skills.

Responsibilities

• Design, develop, validate, and maintain credit risk models across the customer lifecycle.
• Build and validate application scorecards, behavioural scorecards, and recovery models.
• Apply modern ML/statistical techniques including gradient boosting and survival analysis.
• Translate business challenges into structured modelling problems and deliver actionable insights.
• Develop monitoring frameworks to track model performance and stability.
• Present findings clearly to technical and non-technical stakeholders.

Skills

Python

SQL

Credit risk modelling

Predictive modelling

Job description

Gravitas Group in Crewe is seeking a Data Scientist (Credit Risk) to design and deploy credit risk models across the customer lifecycle. You will work with Credit, Finance, Commercial and Analytics stakeholders to translate business challenges into scalable data science solutions.

The role offers autonomy, exposure to senior stakeholders, and a modern analytics environment. Candidates should have 3+ years in data science or credit risk modelling, strong Python/SQL, and proven ability to build