Hybrid in London, United Kingdom
We’re looking for a Head of Data Science & AI
You'll lead iwoca's data science function – a group building probabilistic and statistical models that make real-time lending decisions. You'll also be a key part of how iwoca embeds AI across the wider business: setting the pace yourself, and raising capability beyond your direct team.
The company
Small businesses move fast. 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.
That's why we built iwoca. 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.
We’ve already cleared the way for 100,000 businesses with more than £4 billion in funding. 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 team
iwoca's data scientists build probabilistic and statistical models that make lending decisions in real time, support forecasting, and shape commercial strategy. Their work is deployed in production code and has direct commercial consequences – it's more than exploratory analysis. The function is now embedding AI into how that work gets done. Successfully leading it will require close collaboration with engineering, product, and commercial teams.
The role
As Head of Data Science & AI, you'll shape how a technically sophisticated team works – and influence how the wider business adopts AI. Doing that well requires a deep understanding of the modelling work: where AI genuinely changes the work, where it speeds things up, and where a different approach is better. You'll judge what's actually possible with these tools – and challenge the assumptions when the rationale isn't clear.
iwoca's data scientists build probabilistic ML models on credit and commercial data, deployed in production, making real-time lending decisions across lending, product, operations, and strategy. The group has approximately 25 data scientists, split across a central team and smaller groups aligned to specific products or domains. You'll report to one of iwoca's co-founders, who is also a data scientist.
AI enablement and adoption
You'll set the standard for how AI is used across the group – establishing practices that make adoption safe and repeatable, and creating the conditions for a technically sophisticated group to advance together.
Strategic direction
You'll influence where the group invests its resources – deciding what to model, where AI accelerates the work, and where a lighter approach is more effective. You'll shape commercial and product decisions by making analytical trade-offs legible to senior stakeholders, and work with team leads to plan and prioritise across multiple streams.
People and team
You'll develop the people around you – raising capability across the group through clear standards, direct coaching, and a genuine investment in how data scientists grow. You'll spot where the gaps are and help close them. You'll also own hiring, shaping how the group assesses and develops talent as it grows.
Commercial opportunity and coordination
You'll spot commercial opportunities across the business – where modelling or AI can change outcomes – and work with Engineering, Product, and Operations teams to act on them. You'll represent the group in discussions that shape lending, risk, and product decisions, explaining assumptions, highlighting risks, and helping senior stakeholders act on analytical insight.
The requirements
Essential
High AI agency: You actively experiment with AI in your analytical and technical workflows. You use tools like Claude Code, Codex, or similar to build, automate, and accelerate substantive work. You have a clear view on how AI changes what a data science team does and a track record of raising capability across the people around you, not just your own output.
Transformation track record: You have led a meaningful shift in how an analytical or data science team works. You are comfortable navigating resistance, building adoption across different types of people, and making change persist beyond your direct involvement.
Technical background: You have a background in probability, statistics, or a related quantitative field, with hands-on experience building and overseeing probabilistic ML models on structured commercial or financial data.
Production experience: You have managed the full lifecycle of models in production – deploying, monitoring, and retiring them. You are comfortable coordinating chains of model dependencies across different teams.
Commercial acumen: You understand how modelling supports business decisions and know when to make trade-offs between depth, delivery time, and value.
Strategic leadership: You have experience setting data science strategy, aligning work with commercial goals, and translating technical modelling for senior stakeholders so they can act on it.
People and team: You have experience managing a data science team, setting clear standards, and developing people – including having direct conversations about where the gap is and how to close it.
Bonus:
Domain experience: You have worked in credit risk, lending, or customer lifetime value modelling.
Function scale: You have led a data science team of 20 or more people across multiple teams.
R&D and forecasting: You have experience shaping a modelling agenda, including probabilistic or long-term forecasting work.
Industry profile: You have represented a data science team externally – industry events, publications, or advisory roles.
The salary
We expect to pay from £120,000 to £170,000 for this role. But, we’re open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews.
The culture
At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence-based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective.
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.
The offices
We put a lot of effort into making iwoca a great place to work:
Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks.
Events and community-led groups, including running groups, padel, and monthly ping-pong and pool competitions.
The benefits
Flexible working hours.
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 to buy or sell an additional five days of annual leave, 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.
Two company retreats a year: we’ve been to France, Italy, Spain, and further afield.
And to make sure we all keep learning, we offer:
A learning and development budget for everyone.
Company-wide talks with internal and external speakers.
Access to learning platforms like Treehouse.
Useful links:
iwoca benefits & policies
Interview welcome pack
