A day in the life...
- Explore the current enrichment pipeline to understand how it works and where it fails
- Form hypotheses about where accuracy is breaking down (e.g. merchant ambiguity, edge cases, new patterns)
- Write code (typically SQL and/or Python) to analyse performance, quantify what's working, and identify systematic gaps
- Build quick prototypes or enrichment experiments to test alternative approaches
- Run structured evaluations, interpret results carefully, and communicate trade-offs clearly
- Work closely with Product and Engineering to embed improvements into long-term system design
- Use AI and LLM tools pragmatically - for exploration, pattern detection, prototyping logic and accelerating experimentation
- Continuously look for deeper patterns and structural improvements rather than settling for surface-level fixes
About you...
- You're naturally curious. When you see messy or imperfect data, you want to understand why. You’re also curious about modern AI and LLM tools and have experimented with using building things with them, at work or as personal projects
- Comfortable being given a broad problem and figuring out how to structure it
- You enjoy forming hypotheses, writing code to test them, and interrogating results deeply
- Strong SQL skills and ideally experience using Python for exploratory analysis or prototyping
- You’ve worked in a data-led, fast-paced environment (e.g. fintech, banking, start-up, consulting)
- Ability to communicate clearly and can explain complex findings to both technical and non-technical audiences
- You’re collaborative but independent — you don’t wait to be told the next step
Skills Required
- Strong SQL skills
- Experience using Python for exploratory analysis or prototyping
- Experience working in a data-led, fast-paced environment (e.g., fintech, banking, start-up, consulting)
- Practical experience experimenting with AI and LLM tools
- Ability to design experiments, run structured evaluations, and interpret results
- Ability to communicate complex findings to technical and non-technical audiences
- Comfort solving ambiguous problems independently and collaboratively
What We Do
We’re Zopa, and we want to make money work better for you. Our diverse team is united in their mission of creating simple, fair and honest financial products that have the customer’s needs at their heart. We’re proud that this dedication is reflected in our excellent rating on TrustPilot. We’ve always been unapologetically honest with our customers, and value the same in return. Their feedback helps us shape what we build, so we can provide a bank fit for today, and for the future. We’re not the new kids on the block though - we’ve been a pioneering force in finance for 16 years. In 2005, we built the first ever peer-to-peer (P2P) lending company, giving our customers access to loans built for real-life and intelligent investments backed by cutting-edge tech. In 2020, we launched Zopa Bank, meaning we could offer more – like fixed term savings backed by FSCS protection and a credit card to help customers take control of their finances. We’ve lent out over £6 billion and are proud to have made money work better for over half a million people across the UK, whether they were looking to borrow or save.
.png)






