Credit Risk ML Scientist (Hybrid/Remote UK)

iwoca; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

iwoca is seeking a Data Scientist to join the Credit Risk Modelling team. You will work on probabilistic credit risk and CLtV models that determine lending terms and pricing in the UK and Germany.

The team is about twelve data scientists; you will contribute to production models, experiment with AI-driven prototypes, and help shape forecasting and risk decisions in fast-paced fintech context. The role offers hybrid London or remote UK work with strong collaboration across product, data, and

Qualifications

• Background in statistics from a quantitative field with real‑world data experience.
• Ability to quantify uncertainty and calibrate estimates.
• Proven track record testing new modelling ideas.
• Strong critical evaluation and reasoning under challenge.
• Ability to frame problems and deliver decisions.
• Experience using AI to augment work and build prototypes.
• Clear written and spoken communication adapted to audiences.

Responsibilities

• Use iwoca's lending data to answer credit risk and CLtV questions and integrate findings into production models.
• Keep today's models accurate as conditions change and pursue incremental improvements.
• Conduct AI-driven prototyping to test novel ideas.
• Collaborate with senior data scientists to learn credit modelling deeply.

Skills

Applied statistics

Probabilistic reasoning

Research mindset

Judgement

Analytical ownership

AI leverage

Communication

Education

Statistics/Math/Physics degree

Tools

Python

Job description

iwoca is seeking a Data Scientist to join the Credit Risk Modelling team. You will work on probabilistic credit risk and CLtV models that determine lending terms and pricing in the UK and Germany.

The team is about twelve data scientists; you will contribute to production models, experiment with AI-driven prototypes, and help shape forecasting and risk decisions in fast-paced fintech context. The role offers hybrid London or remote UK work with strong collaboration across product, data, and