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Data Scientist - Broker Terms Team Hybrid in London, United Kingdom We're looking for a Data Scientist to join the Broker Terms team. You'll shape the analytical approach for a team that sets the terms on…
Data Scientist - Credit Cards Hybrid in London, United Kingdom We're looking for a Data Scientist to join the Credit Cards team. You'll build the credit risk, pricing, and customer lifetime value models behind…
Data Scientist - Third Party Acquisition (3PA) - DE Hybrid in London, United Kingdom We're looking for a Data Scientist You'll design experiments and build models that shape how iwoca grows through brokers and…
Data Scientist on iwoca's iwocaPay Risk Squad, co-owning credit models that decide which small businesses to fund and on what terms. Mostly supervised ML on tabular data in Python, plus data engineering, portfolio monitoring, and risk design for new products. Hybrid role based in London.
Data Scientist - Broker Flow Team Hybrid in London, United Kingdom We're looking for a Data Scientist to join the Broker Flow team. You'll own the experiments that shape the journey brokers use to apply on…
Data Scientist on iwoca's Partner Flow team, running experiments and causal inference analysis (plus funnel analysis and some modeling) to drive growth through partner platforms offering iwoca SME lending. Day to day: designing A/B and quasi-experiments, analyzing application-to-drawdown funnels, and shaping commercial decisions, mostly in Python.
A senior data scientist on iwoca's Credit Risk Modelling team owns credit risk and customer lifetime value models for UK and German SME lending end to end — keeping production models healthy, driving incremental improvements, and running growing R&D (causal estimation of offer terms, model unification, IFRS staging). Core work is probabilistic ML in Python.
Data Scientist on iwoca's Credit Risk Modelling team, building and maintaining the credit risk and customer lifetime value models behind SME lending decisions, with a growing R&D share (causal estimation, IFRS models, model unification). Core stack is Python with probabilistic/supervised ML and heavy use of AI tooling.
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