Data Scientist - Broker Terms
Data Scientist on iwoca's Broker Terms team, modelling customer take-up, designing experiments with causal inference, and turning findings into pricing and offer-term decisions for the broker acquisition channel. Core tooling is Python's scientific stack (pandas, numpy, sklearn, PyMC) plus heavy AI-assisted analysis. Hybrid role based in London.
- Compensation
- £70K–£80K / yr
- Location
- London
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data science
- Posted
Skills
Must have
- Background in probability and statistics from a quantitative field (mathematics, physics, or statistics)
- Comfortable with Bayesian reasoning; applied hierarchical models or formal decision-making under uncertainty in real work
- Causal inference and experimentation experience; knows where A/B testing breaks down and what to use instead
- Careful experimental design for clean, trustworthy results
- Analytical ownership: takes loosely defined problems from framing to landing the answer
- Proficient with data manipulation and modelling tools and scientific computing libraries (pandas, numpy, sklearn, PyMC)
- Has used AI to produce work not otherwise possible (pipelines, prototypes, tools) and verifies its output
- Clear, direct communication adapted for non-technical commercial and strategy colleagues
Nice to have
- Built or adapted statistical or ML models and can explain the maths to commercial stakeholders
- Experience using stochastic processes for inference or time-series modelling
- Has worked with brokers or other intermediaries in lending or financial services
Full description
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 iwoca's biggest acquisition channel. The team is young, with many unexplored opportunities.
The company
Small businesses move fast. Opportunities often don’t wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that’s as flexible and responsive as they are.
That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed.
We’ve already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they ildrive.
The team
Broker Terms is a growing team that sits within iwoca's third-party acquisition department. It owns the full offer terms strategy for customers referred through the broker network – both first-time customers and repeat. The team sets pricing, loan amounts, durations, and broker commissions, and owns the UX that presents them to brokers and customers.
The team is small and interdisciplinary, combining commercial strategy, engineering, and data science. The work translates business questions into quantitative problems, and findings into actionable decisions. Active projects include:
- Model-based pricing – creating a sophisticated model to offer bespoke pricing to each customer
- A no-fee test – examining how our product performs when we remove all drawdown fees, and how that influence customer repayment behaviour
- Testing longer-duration flexi-loan products with particular customer segments.
- Reintroductions - exploring the right offer terms to give returning customers
The team is small and cross-functional – commercial strategy, engineering, design, and data science – and works across the full application stack, from the Broker API to the Introducer Portal brokers use.
The role
You'll model expected customer take-up rates, design experiments, and translate findings into pricing and product decisions for the acquisition channel that drives the most customer lifetime value (CLTV). Because the Broker Terms team is a young team, you'll influence how its analytical approach develops, not just what it produces.