Data Scientist - Acquisition Tech Team

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 dete ... (truncated, view full listing at source)