CREDIT RISK DATA SCIENTIST in London

Hybrid in London, United Kingdom We're looking for a Data Scientist to join the iwoca Pay Risk Squad You'll own credit models that decide who iwoca Pay can safely fund and on what terms.

The team is small, the product is growing, and you'll shape how risk modelling is built – not just maintain what exists.

Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are.

Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed.

Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier.

Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive.

The functioniwoca's Data Scientists specialise in supervised machine learning, statistical inference and exploratory data analysis, focusing on tabular and time series data.

The Risk Squad owns the automated credit decisioning and fraud prevention models that influence every lending decision the product makes.

The squad also handles counterparty risk, portfolio-level strategy, and ongoing monitoring of losses, chargebacks, and segment performance.

The role You'll co-own the full credit modelling stack with one other data scientist.

You'll collaborate on model design, review each other's work, and choose what to prioritise.

Your models directly control which small businesses get access to funding, on what terms, and how far the product can grow.

Real influence You own the models end to end, and your decisions carry commercial weight.

Expertise in supervised machine learning on tabular data, with experience building and iterating production models end to end (exploration through deployment and monitoring).

Strong statistical foundations in probability, uncertainty quantification, model calibration, and in reasoning about where a model is likely to be wrong.

Ability to work independently in a messy, early-stage environment – scoping problems, building infrastructure, and shipping models autonomously Pragmatism about what 'good enough' looks like commercially, balanced with rigour on high-stakes models.

Data engineering capability – building pipelines and managing datasets alongside the modelling work.

AI fluency – using AI to build, automate, and accelerate substantive analytical and engineering work.

Clear communication – you can adapt technical detail for non-technical colleagues working in product, risk, and leadership.

Bonus: Experience with credit risk modelling or financial services lending.

Experience with non-linear models (gradient boosting, neural networks on tabular data) in production settings.

Python proficiency – it's what the team uses day to day. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews.

We're a tech company and believe in the power of AI to help us work faster and better.

We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data.

We will help our people to learn how to use and grow with the new tools available to them.

Events and community-led groups, including running groups, padel, and monthly ping-pong and pool competitions.

Medical insurance from Vitality, including discounted gym membership.

A private GP service (separate from Vitality) for you, your partner, and your dependents.25 days' holiday per year, an extra day off for your birthday, the option buy up to ten more days or up to five, and unlimited unpaid leave.

A one-month, fully paid sabbatical after four years.

Instant access to external counselling and therapy sessions for team members that need emotional or mental health support.3% Pension contributions on total earnings.

An employee equity incentive scheme.

Generous parental leave and a nursery tax benefit scheme to help you save money.

Electric car scheme and cycle to work scheme.