HEAD OF DATA SCIENCE & AI

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 £140,000 to £200,000 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 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

Role

Head of Data Science & AI

Locations

London

Published

April 17

Deadline

August 16

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