Data Scientist - Broker Flow

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About the role

Data Scientist - Broker Flow Team Hybrid in London, United Kingdom We're looking for a Data Scientist to join the Broker Flow team. You'll own the experiments that shape the journey brokers use to apply on their clients' behalf. Brokers are one of iwoca's main routes to new customers. 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 Broker Flow, a new team in iwoca's third-party acquisition department, owns the journey for businesses that come to iwoca through a broker – from before they apply to a completed credit assessment. Its aim is to get more of those businesses to an offer. Broker Terms, a separate team, then sets the price, amount, and duration of each offer. The team works on three parts of that journey: • 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. The requirements Essential: • Statistical foundations. You have a background in p

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