Data Scientist – Broker Flow

iwoca

. Own experiments shaping the journey brokers use to apply on clients’ behalf .

Posted 10/13/2026full-timeLondon • United KingdomMid-LevelSenior💰 £70,000 - £100,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in probability, statistics, and data modeling, with a strong ability to design experiments and analyze results. Proficient in Python for data manipulation and modeling, with experience in applying AI and statistical methods in financial services.

Highest-signal resume keywords

Probability And StatisticsBayesian ReasoningData Manipulation And ModellingStatistical Or ML Model BuildingPython Programming

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Applicant Tracking System Keywords

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Hard Skills

Causal InferenceHierarchical ModelsA/B TestingStochastic ProcessesTime-Series Modelling

Soft Skills

Clear CommunicationAdaptability

Tools & Technologies

Scientific Computing LibrariesData Science Methods

Industry Keywords

Financial ServicesBrokersLending

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Own experiments shaping the journey brokers use to apply on clients’ behalf
Provide evidence behind product decisions for the Broker Flow team
Design experiments and apply causal inference, modelling, and analysis
Frame problems, choose methods, build models or run tests, and deliver findings to commercial and strategy colleagues
Meet brokers in person to understand context and ask the right questions
Shape the team’s data science methods
Improve the number of businesses reaching an offer and their lifetime value
Collaborate with data scientists in iwoca’s other broker and partner teams
Participate in iwoca’s analytics guild
Share results through short Learnings write-ups in weekly and fortnightly sessions
Model businesses that may benefit from refinancing and test related products
Identify stalled broker applications and test improvements
Test the best timing for reintroducing existing iwoca customers to borrowing
Measure and improve the accuracy of approval-probability estimates
Design early signals that predict business lifetime value and measure the impact of changes

Requirements

What you’ll need

Background in probability and statistics from a quantitative field such as mathematics, physics, or statistics
Comfortable with Bayesian reasoning
Applied hierarchical models or formal decision-making under uncertainty in real work
Experience separating signal from noise in observational and experimental data
Knowledge of where A/B testing breaks down and appropriate alternatives
Ability to take loosely defined problems from start to finish
Proficient with data manipulation and modelling tools and scientific computing libraries
Used AI to produce work beyond unaided capability, with ability to evaluate and validate its output
Clear, direct, and concise written and verbal communication
Ability to adapt technical detail for non-technical commercial and strategy colleagues
Experience building or adapting statistical or ML models and explaining the underlying mathematics
Experience using stochastic processes for inference or time-series modelling
Experience with brokers or other intermediaries in lending or financial services
Ability to write analysis code; the team works in Python

Benefits

Comp & perks

Flexible working hours
Medical insurance from Vitality, including discounted gym membership
Private GP service for you, your partner, and your dependents
25 days’ holiday per year
Extra day off for your birthday
Option to buy or sell an additional five days of annual leave
Unlimited unpaid leave
One-month, fully paid sabbatical after four years
External counselling and therapy sessions
3% pension contributions on total earnings
Employee equity incentive scheme
Generous parental leave
Nursery tax benefit scheme
Electric car scheme
Cycle to work scheme
Two company retreats a year
Learning and development budget
Company-wide talks with internal and external speakers
Access to learning platforms like Treehouse
Offices with drinks and snacks
Events and community-led groups, including running groups, padel, and monthly ping-pong and pool competitions