Data Scientist - Partner Flow Team

Data Scientist - Partner Flow

Hybrid in London, United Kingdom

We're looking for a Data Scientist to join the Partner Flow team

You’ll own experimentation and analytics for iwoca’s partner channel – fintechs and platforms that embed iwoca lending in their own products. The analytical approach is still being built, and the scope to shape it is wide.

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.

Partner Flow owns the customer journey from the moment someone starts an application on a partner platform through to a completed credit assessment. By making the application process as smooth as possible and collecting the data needed for a credit decision efficiently, the team maximises the number of partner‑referred customers that receive an offer. The team works across the full application stack – from the APIs partners use to integrate iwoca, through to the experience customers see when they apply.

The team is small and cross‑functional, combining data science, engineering, design, and product. Active projects include:

• Pre‑qualification – testing how showing customers an offer before they apply affects conversion and long‑term value
• Credit card strategy – iwoca recently launched a credit card alongside its flexi‑loan; the team is working out which product, or combination, to offer which customers
• Funnel optimisation – identifying and reducing the biggest points of friction across the partner journey

You’ll design experiments, model customer behaviour and analyse large data sets across the partner funnel, and turn findings into product and strategy decisions. The analytical approach is still being shaped – you’ll influence how it develops, not just what it produces.

The work has direct commercial consequences – on partner platforms, iwoca competes for attention alongside other lenders, and what this team builds and tests affects which customers convert and on what terms. You’ll work closely with commercial, strategy, and product colleagues across the business.

• Experimentation and causal inference. You’ll design and analyse experiments where careful randomisation and interpretation are critical. You’ll need to know where standard A/B testing breaks down and what to reach for instead. The problems are consequential: measuring how pre‑qualification affects Customer Lifetime Value (CLTV), and understanding how different products interact when offered to the same customer base.
• Funnel and competitive strategy. You’ll analyse the full partner‑referred customer journey – from application through to credit assessment – identifying where conversion breaks down and why. On partner platforms, iwoca is positioned alongside competitors, so you’ll also figure out what makes customers choose iwoca over the alternatives, and how to shift those dynamics in our favour.
• Commercial translation. You’ll be directly involved when decisions get made – not handing off analysis to be interpreted by someone else. You’ll work with commercial and strategy colleagues and coordinate with adjacent teams to make sure the tests and policies you run fit together with their ongoing work.
• AI and ways of working. You’ll use AI to accelerate and automate your analytical work. The team treats this as a lever for increasing its rate of learning. You’ll be expected to have a view on where it helps and where it doesn’t.

Essential:

• Statistical foundations. Strong grounding in…