Overview
In this role you will drive data-backed product decisions for the Partner Flow team, shaping how iwoca grows via partner platforms. You design and analyze experiments to inform routing, offers, and credit decisions, collaborating with product, commercial, and strategy colleagues. You will help establish the team’s analytical methods and contribute to a data-driven culture. The opportunity combines causal inference work with occasional modelling and funnel analysis, offering broad impact across the partner journey.
Pay / Benefits
- Flexible working hours
- Medical insurance from Vitality
- Private GP service for you and dependents
- 25 days holiday + birthday day off
- One-month sabbatical after four years
- Employee equity incentive
Responsibilities
- Design and analyze experiments to guide product decisions in Partner Flow
- Own end-to-end analytics projects from problem framing to decision support
- Collaborate with product, commercial, and strategy teams to shape approaches
- Contribute to defining and improving analytical methods within the team
- Produce Learnings write-ups and share findings in internal sessions
- Work with other data science teams and participate in the analytics guild
Key requirements
- Statistical foundations from a quantitative field (probability, statistics, etc.)
- Experience with causal inference and experimentation (A/B tests, quasi-experiments, lift studies)
- Commercial experience applying data science to business decisions
- Analytical ownership from problem framing to final decision
- Ability to iterate and update conclusions as new data arrives
- Experience using AI to build analysis pipelines or tools
- Clear written and spoken communication for non-technical stakeholders
- clear communication
- cross-functional collaboration
- curiosity and learning mindset
- Python
- causal inference
- experimentation design
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