Data Scientist - Credit Risk Modelling

Salary: £70,000 - 110,000 per year

Requirements

• We want someone who communicates clearly, directly, and concisely, and who can adapt technical detail to their audience.
• We want a strong background in probability and statistics from a quantitative field, with the ability to reason about uncertainty and calibration.
• We want someone with a research mindset who is actively exploring new ways to add value.
• We want strong judgement, with the ability to critically evaluate model output and defend reasoning under challenge.
• We want analytical ownership: the ability to take ambiguous problems end to end, from framing to a landed decision.
• We want someone who uses AI as a primary tool, prototypes with it, automates with it, and applies judgement on where it helps and where it doesnt.
• Bonus: experience in credit risk, lending, or customer lifetime value modelling.
• Bonus: experience building and shipping supervised ML models end to end, including exploration, training, deployment, and monitoring.
• Bonus: ability to think in terms of cost functions and inductive biases in non-linear methods.
• Bonus: experience with Bayesian methods such as hierarchical models, MCMC, or Bayesian updating in real work.
• Bonus: experience modelling temporal data where autocorrelation, drift, or seasonality mattered.
• Bonus: Python experience.

Responsibilities

• We run credit and customer lifetime value modelling projects alongside the rest of the team.
• We keep production models healthy.
• We develop models incrementally.
• We carry out research that reshapes how the models work.
• We work on causal estimation of offer terms, modelling how amount, duration, and price shape customer outcomes.
• We work on unifying auto and manual models on a common cost function.
• We work on an IFRS accounting model where later-stage recovery predictions sharpen upfront loss estimates.
• We explore whether a more general framing could replace separate credit and customer lifetime value models.

Technologies

• AI
• Support
• Python
• REST
• Flow
• LLM
• Machine Learning

More

We are iwoca, a fintech company built to give small businesses flexible and responsive finance when they need it most. Our smart technology, data science, and five-star customer service have already helped more than 100,000 businesses with over 4 billion in funding. Our mission is to support one million SMEs in their defining moments and create lasting impact for the communities and economies they drive. This is a hybrid role based in London or remote in the UK, within our Credit Risk Modelling team of around twelve data scientists working across UK and German lending. We offer a salary of 60,000 to 90,000, flexible working hours, medical insurance, private GP access, 25 days holiday plus additional leave options, a sabbatical after four years, counselling support, pension contributions, equity, parental leave, wellbeing and travel schemes, a learning and development budget, company talks, and access to learning platforms. Our offices are in London, Leeds, Berlin, and Frankfurt, and our culture values independent thinking, evidence-based decisions, learning, autonomy, and strong use of AI.

last updated 36 week of 2026