About this role
Salary: £70,000 - 110,000 per year
Requirements: Strong grounding in probability and statistics, with an understanding of Bayesian reasoning and experience applying hierarchical modelling or decision-making under uncertainty.Experience separating signal from noise in observational and experimental data.Ability to understand commercial context and translate data into actionable insights that guide decisions.Proficiency with data manipulation and modelling tools.Comfortable owning ambiguous problems end-to-end, from framing through modelling to influencing decisions.Experience with and a passion for using AI to accelerate and automate analysis and model building.Clear written and verbal communication, with the ability to adapt technical detail to different audiences.Experience building or adapting statistical or machine learning models, with an interest in understanding whats happening underneath.Familiarity with stochastic modelling concepts as they apply to inference, time series, or uncertainty.Experience with conversion funnel analysis or marketplace dynamics where attention is competed for alongside competitors.Experience working primarily in Python, or another language such as R with willingness to use Python day to day.Interest in understanding how the partner lending market works and what drives conversion and partner choice. Responsibilities: Design and analyse experiments across the partner funnel.Model customer behaviour and analyse large data sets.Turn findings into product and strategy decisions.Influence how the analytical approach develops, not just what it produces.Work on experiments and causal inference, including situations where standard A/B testing is not enough.Measure how pre-qualification affects customer lifetime value and understand how different products interact for the same customer base.Analyse the full partner-referred customer journey from application through to credit assessment.Identify where conversion breaks down and why.Work out what makes customers choose us over competitors and how to shift those dynamics in our favour.Work closely with commercial, strategy, product, and adjacent teams to ensure tests and policies fit together.Use AI to accelerate and automate analytical work.Contribute directly to decision-making and help land analysis with people who act on it. Technologies: AIFlowSupportMachine LearningPython More:
We are iwoca, a tech company built to give small businesses flexible, responsive finance when cash flow pressures appear. We have already supported 100,000 businesses with more than 4 billion in funding, and our mission is to support one million SMEs in their defining moments. This hybrid role is based in London and sits within our Partner Flow team, a small cross-functional group working across data science, engineering, design, and product to improve the partner application journey and maximise offers to partner-referred customers. We value independent thinking, evidence-based decisions, learning, growth, and the use of AI to work faster and better. Our offices are in London, Leeds, Berlin, and Frankfurt, and we offer flexible working hours, medical insurance, private GP access, 25 days holiday plus additional leave options, a sabbatical after four years, counselling support, pension contributions, equity, parental leave, learning and development support, company retreats, and community-led activities.
last updated 40 week of 2026