Iwoca seeks a Data Scientist for the Partner Flow team in London to shape SME lending through experiments and causal inference. This hybrid position suits a quantitative professional who enjoys taking analytical projects from conception to commercial decision-making.
Role Overview
The Data Scientist drives analytical product decisions within a cross-functional team handling partner-driven small business lending. Responsibilities include experiment design, causal inference, and funnel analysis to optimize loan applications, routing, and offer terms. The role involves setting analytical methods, dedicating time to research, and sharing findings across the organization.
Key Responsibilities
Run analyses for product decisions using experiment design, causal inference, model building, and funnel analysis.
Own projects from start to finish by determining business needs, weighing trade-offs, and collaborating with product, commercial, and strategy colleagues.
Measure how pre-qualification, credit card options, top-down notifications, and partner funnels affect conversion and customer lifetime value.
Shape the development of underlying models and help establish the team's analytical methods.
Share experiment findings through short write-ups at weekly and fortnightly sessions.
Requirements
Background in probability and statistics from a quantitative field, typically a degree or Master's in Statistics, Mathematics, Physics, Engineering, or similar.
Experience designing and analyzing experiments such as A/B tests, quasi-experiments, or lift studies.
Commercial experience using data science to shape business decisions in an industry role, consultancy, or substantial placement.
Experience taking loosely defined problems from start to finish.
Ability to make evidence-based calls early and update them as new data arrives.
Experience leveraging AI to produce analysis pipelines, prototypes, or tools.
Clear, direct, and concise written and verbal communication skills for technical and non-technical audiences.
Nice to Have
Experience with causal inference methods beyond A/B testing, such as synthetic control, interrupted time series, or difference-in-differences.
Practical use of Bayesian methods, hierarchical models, or MCMC.
Experience analyzing conversion funnels or competing marketplaces.
Curiosity regarding the partner lending market and customer conversion drivers.
Coding ability in Python.
Skills and Tools
Python
Statistics and Probability
Causal Inference
Experiment Design
AI Tools and Pipelines
Salary and Benefits
Salary range from £70,000 to £100,000.
Quarterly performance and salary reviews.
Flexible working hours and hybrid work in London.
Vitality medical insurance with discounted gym membership and a private GP service for employees, partners, and dependents.
25 days of annual leave, birthday day off, option to buy or sell up to five days of leave, and unlimited unpaid leave.
One-month fully paid sabbatical after four years.
Instant access to external counselling and therapy sessions.
3% pension contributions on total earnings and employee equity incentive scheme.
Generous parental leave, nursery tax benefit scheme, electric car scheme, and cycle to work scheme.
Two annual company retreats and office snacks.
About the Company
Iwoca builds smart technology and data science solutions to provide flexible finance for small businesses. The organization aims to support one million SMEs through access to better finance and services. The culture emphasizes independent thinking, evidence-based decisions, and continuous learning, providing access to infrastructure where models integrate with company data.
How to Apply
Apply on the official company careers page.
