Data Scientist - Partner Flow Team in London

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.

The company helps 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 Partner Flow team 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

The role involves designing experiments, modelling customer behaviour and analysing large data sets across the partner funnel, and turning 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.

Key Responsibilities:

• Experimentation and causal inference – design and analyse experiments where careful randomisation and interpretation are critical.
• Funnel and competitive strategy – analyse the full partner-referred customer journey – from application through to credit assessment – identifying where conversion breaks down and why.
• Commercial translation – be directly involved when decisions get made, working with commercial and strategy colleagues.
• AI and ways of working – use AI to accelerate and automate your analytical work.

Requirements:

• Essential:
• Statistical foundations – strong grounding in probability and statistics, with an understanding of Bayesian reasoning.
• Causal inference – experience separating signal from noise in observational and experimental data.
• Business translation – ability to understand commercial context and translate data into actionable insights.
• Data tooling – proficiency with data manipulation and modelling tools.
• Analytical ownership – comfortable owning ambiguous problems end-to-end.
• AI fluency – experience with and a passion for using AI to accelerate and automate analysis.
• Communication – clear writing and speaking, adapting technical detail to different audiences.
• Bonus:
• Modelling depth – experience building or adapting statistical or ML models.
• Stochastic methods – familiarity with stochastic modelling concepts.
• Funnel and marketplace experience – experience with conversion funnel analysis.
• Python – primary language used by the team.
• Market curiosity – desire to understand how the partner lending market works.

Salary: We expect to pay from £70,000 – £100,000 for this role. But, we’re open-minded, so definitely include your salary goals with your application.

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.

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.

Benefits:

• Flexible working hours.
• Medical insurance from Vitality, including discounted gym membership.
• A private GP service for you, your partner, and your dependents.
• 25 days’ holiday per year, an extra day off for your birthday, and unlimited unpaid leave.
• A one-month, fully paid sabbatical after four years.
• Instant access to external counselling and therapy sessions.
• 3% Pension contributions on total earnings.
• An employee equity incentive scheme.
• Generous parental leave and a nursery tax benefit scheme.
• Electric car scheme and cycle to work scheme.
• Two company retreats a year.
• A learning and development budget for everyone.
• Company-wide talks with internal and external speakers.
• Access to learning platforms like Treehouse.