Data Scientist - Acquisition Tech Team

Data Scientist - Acquisition Technology. Hybrid in London, United Kingdom.

iwoca's mission is to empower small businesses with fast, flexible finance. Since 2012, we have helped thousands of businesses access finance and scale their operations. We combine cutting-edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower.

As a Data Scientist in the DE Acquisition Tech team, you’ll shape how iwoca grows. You’ll design and evaluate experiments, build statistical and predictive models, and turn complex data into clear insights. You’ll own projects end to end while working closely with stakeholders to align your work with business goals. The models and insights you deliver will directly influence how we invest in sales and marketing, giving you visibility across the company and impact on customer acquisition.

• Run controlled experiments across paid and organic channels, generating evidence on what drives conversions.
• Build and refine frameworks for Paid Search and Paid Social, enabling smarter bidding and more effective performance.
• Develop statistical attribution models to give clear insight into channel impact.
• Design predictive lead scoring models that help target valuable prospects more effectively.

• Expertise in probability and statistics, gained through a quantitative field such as Mathematics, Physics, Statistics or similar.
• Ability to understand business context and translate data into actionable insights that guide decisions.
• Proficiency with data manipulation and modelling tools such as pandas, statsmodels or R.
• Experience with scientific computing tools such as NumPy, SciPy, R, Matlab, Mathematica or BLAS.
• Ability to work autonomously and manage projects end to end, from framing the question to delivering outcomes.
• Ability to communicate clearly in writing and speech, adapting technical detail to suit different audiences.

• Understanding of Bayesian statistics, including experience or interest in applying hierarchical Bayesian models.
• Experience building machine learning models from scratch, including creating custom optimisers.
• Knowledge of stochastic processes and related mathematical techniques.
• Experience working with Python, our primary programming language.
• Understanding of financial concepts such as deterministic cash flows.

We expect to pay from £60,000 - £90,000 for this role. We’re open-minded, so please include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews.

At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity and encourage you to explore new areas of interest to help us innovate and improve our products and services.

• Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks
• Events and clubs, like bingo, comedy nights, football, etc.

• 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

• iwoca benefits & policies
• Interview welcome pack