Data Scientist - Broker Terms

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.

The work has direct commercial consequences: brokers act on what the team builds and tests, and that shapes which customers iwoca wins and on what terms.

• Offer terms and experimentation. You'll model how customers respond to offer terms and how brokers make decisions under uncertainty. You'll design experiments where causal inference is central: you'll need to know where standard A/B testing breaks down and what to reach for instead.
• Commercial translation. You'll work with commercial and strategy colleagues and see your analysis applied directly in day-to-day decisions. That includes meeting brokers in person – gaining context that shapes how you frame and interpret results – and coordinating with adjacent teams responsible for underwriting decisions, repeat lending, and offer construction.