Data Scientist - Broker Flow

iwoca; City of Westminster; On-site; GBP 70,000 - 100,000; Full time

Benefits offered by this job

Flexible working hours

Medical insurance

Private GP service

25 days holiday

Birthday day off

Sabbatical after four years

Counselling and therapy sessions

Pension contributions 3%

Equity incentive scheme

Parental leave and nursery tax benefit

Electric car scheme

Cycle to work

Company retreats

Learning budget

Company-wide talks

Treehouse access

Job summary

iwoca is hiring a Data Scientist for the Broker Flow team. You will own projects end to end, designing experiments and causal analyses to guide commercial decisions.

You’ll build models, run tests, and present results to strategy colleagues, while engaging brokers to contextualize questions and validate outcomes. The role sits within a small, cross-functional team spanning commercial strategy, engineering, design, and data science.

Qualifications

• Design experiments and causal analyses to inform product decisions.
• Own projects end to end from framing to reporting.

Responsibilities

• Frame problems and choose methods for analysis.
• Build models or run tests to answer business questions.
• Present findings to commercial and strategy teams.
• Collaborate with data scientists across broker and partner teams.
• Meet brokers in person to gain contextual insights.
• Share learnings in weekly/fortnightly sessions.

Skills

Experiment design

Causal inference

Python

Bayesian reasoning

Time-series modelling

Statistical modelling

A/B testing

Data analysis

Communication

Data tooling

Tools

Python

Job description

• Broker engagement. Working with brokers and their clients before an application starts.
• The application. Making it smooth to complete, and collecting the data a credit decision needs.
• Operations. Running the CRM tools iwoca's teams work in, and automating operational processes.

The team is small and cross-functional - commercial strategy, engineering, design, and data science - and works across the full application stack, from the Broker API to the Introducer Portal brokers use. The role As the Data Scientist in Broker Flow, you'll give the team the evidence behind its product decisions. The core of the work is experiment design and causal inference, with modelling and analysis alongside it. You'll own each project end to end. You'll frame the problem, choose the method, build the model or run the test, and take the answer to the commercial and strategy colleagues who act on it. You'll also meet brokers in person, which gives you the context to ask the right questions. The team is new, so its methods are yours to shape. You'll see the effect of your work in how many businesses reach an offer, and in their lifetime value. You'll work with data scientists in iwoca's other broker and partner teams, and join the analytics guild - iwoca's data science community - to compare methods and build your expertise. Your results reach the wider business through Learnings, short write-ups that iwoca shares at weekly and fortnightly sessions.

Live project examples:

• Refinancing. Modelling which businesses would benefit from refinancing their existing borrowing, and testing a product for them.
• Stalled applications. Finding where broker applications stall, and testing fixes - from clearer emails and portal updates to an early offer that encourages document upload.
• Reintroductions. Testing the best moment for brokers to bring existing iwoca customers back to borrow.
• Approval probability. Measuring how well the estimate brokers see in the Introducer Portal predicts actual credit decisions, and making it more accurate.
• Measuring impact. Designing early signals - at sign-up and once documents are in - that predict a business's lifetime value, so the team can judge its changes quickly., Modelling depth. You've built or adapted statistical or ML models and can explain the maths behind them.
• Stochastic methods. You've used stochastic processes for inference or time-series modelling.
• Broker market insight. You've worked with brokers or other intermediaries in lending or financial services.
• Coding. You can write code for analysis. The team works in Python.
• Statistical foundations. You have a background in probability and statistics from a quantitative field such as mathematics, physics, or statistics. You're comfortable with Bayesian reasoning, and have applied hierarchical models or formal decision-making under uncertainty in real work.
• Causal inference and experimentation. You've separated signal from noise in observational and experimental data. You know where A/B testing breaks down and what to reach for instead.
• Analytical ownership. You take loosely defined problems from start to finish - framing the question, choosing the method, and landing the answer with the people who act on it.
• Data tooling. You're proficient with data manipulation and modelling tools, and with scientific computing libraries.
• AI leverage. You've used AI to produce work you couldn't have delivered without it - an analysis pipeline, a prototype, or a tool others use. You judge where it helps and where it doesn't, and you check its output before anyone acts on it.
• Communication. You write and speak clearly, directly, and concisely. You adapt technical detail for non-technical colleagues in commercial and strategy roles.

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. 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.

Offices

• 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.

We expect to pay from £70,000 to £100,000 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 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.
• A learning and development budget for everyone.
• Company-wide talks with internal and external speakers.
• Access to learning platforms like Treehouse.