Data Scientist - Acquisition Tech Team

Data Scientist - Acquisition Technology Hybrid in London, United Kingdom 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 function iwoca's Data Scientists specialise in supervised machine learning, statistical inference and exploratory data analysis, focusing on tabular and time series data. Our work emphasises quantitative predictions through the analysis of conditional probabilities and expectations, using medium-sized datasets. The team The DE Acquisition Tech team sits at the heart of iwoca’s growth strategy. Its mission is to help Marketing and Sales reach and engage small businesses of every kind, showing how our finance can empower their ambitions. The team enables smarter, data-driven decision-making across paid and organic channels as well as direct sales. By embedding engineers, product managers, designers, and data scientists together, the team acts as a self-sufficient unit, shaping strategies that deliver measurable commercial impact. The role 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. The projects You’ll shape projects that: 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. The requirements Essential: 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. A commitment to using modern tools effectively – including AI – to maximise quality, speed, and rigour, while retaining responsibility for accuracy and outcomes. Bonus: 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. The salary We expect to pay from £60,000 - £90,000 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 culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the development of our team members. We value thought and skill diversity, and encourage people to explore new areas of interest, adopt better tools (including AI), and apply sound judgement so our products and decisions improve over time. The offices We put a lot of effort into making iwoca a great place to work: 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. 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. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links: iwoca benefits & policies Interview welcome pack