Data Scientist – Broker Flow

Company: iwoca
Apply for the Data Scientist – Broker Flow
Location: London
Job Description:

Overview

In this role you will own experimental design and causal analysis to improve the broker journey from lead to offer. You’ll work cross-functionally with commercial, engineering, design, and data science to inform product decisions and measurable impact. Expect end-to-end ownership of projects, from framing the problem to communicating findings to stakeholders. Your work will directly influence how many broker-sourced businesses reach an offer and their lifetime value, in a fast-moving SME financing environment.

Pay / Benefits

  • Flexible working hours
  • Medical insurance from Vitality
  • Private GP service
  • 25 days’ holiday plus birthday day
  • One-month paid sabbatical after four years
  • 3% pension contributions on total earnings

Responsibilities

  • Design and run experiments and causal inferences for broker journey improvements
  • Own projects end-to-end from problem framing to delivering actionable insights
  • Build and evaluate models or tests and translate results for commercial/strategy teams
  • Collaborate with data scientists in other broker/partner teams and join analytics guild
  • Present learnings through weekly/fortnightly write-ups and learnings sessions
  • Engage with brokers to gather context and refine questions
  • Identify bottlenecks in the broker application flow (pre-application, application, operations) and test fixes
  • Measure impact on offer rate and customer lifetime value

Key requirements

  • Statistical foundations in probability and statistics (Bayesian reasoning)
  • Experience with causal inference and experimental design beyond simple A/B tests
  • Ability to take loosely defined problems and deliver answers
  • Data manipulation and modelling proficiency
  • Experience with AI/ML to augment analysis while validating outputs
  • Strong written and verbal communication for non-technical audiences
  • Clear and concise communication
  • Commercial and strategic collaboration
  • Curiosity and context-seeking with brokers
  • Bayesian reasoning
  • Causal inference and advanced experimental design
  • Data manipulation and modelling tools

…

Posted: October 16th, 2026