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Lead Product Data ScientistZego · London
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Zego

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Lead Product Data Scientist

🗓️ Posted 2026-10-05 London Fulltime Hybrid ICT
💰 Salary Not shared 📊 Market 6,250 GBP–8,333 GBP/mo

About the Company

At Zego, we're on a mission to do the good thing, not the insurance thing. Insurance hasn't changed much in over a century, while the way we live, work, and travel has. We're building real-time, AI-driven infrastructure that powers innovative insurance, ensuring good drivers get cover that works the way they actually drive. We're not just updating insurance; we're leading the AI evolution in insurance. For us, AI is our operating reality and how we build products that back drivers instead of the old insurance playbook. We don't do things slowly, and we don't do bureaucracy. We back high-performance builders who want ownership, early responsibility, and the chance to do the most career-defining work of their lives. You'll get the space to try things, the tools to move fast, and the room to see your ideas reach millions of drivers. Zego's Data team delivers high-impact projects across the whole business - from AI tools that let anyone query data and publish dashboards in Zego Lens, to the customer insights that shape our growth strategy. We already have established data science teams in Pricing and Telematics. This is the first data science role in our central Data team, focused on the huge untapped potential across the rest of the business - from experimentation to churn, marketing and fraud. We're a fast-moving disruptor in insurance, driven by great tech products and data. We adopt new technology quickly - we're AI-first, so most of our code is now written by AI and reviewed by people.

About the Role

As our first Lead Product Data Scientist, you'll shape how Zego makes its biggest product and commercial decisions. You'll work directly with senior leaders across Product, Growth and Operations to decide where to focus, which bets to back and how we'll know they've worked. You'll start by building the foundations - a trusted experimentation framework and customer models that tell us who to acquire, how to engage them and where to invest. As teams learn to run routine experiments themselves, your focus will shift to guiding product investment and making sure evidence, rather than intuition, drives our roadmap. This is a senior, hands-on role with real scope to shape a new capability - and the chance to use AI to scale data science across a growing business.

Responsibilities

  • ● Work with senior leaders to embed data science in strategy and decision making. Create and own a prioritised roadmap for where data science can have the biggest impact.
  • ● Own Zego's experimentation framework - design standards, power, guardrail metrics and decision rules. Coach teams to run routine experiments themselves.
  • ● Partner with Product teams before anything is built, shaping ideas into evidence-based hypotheses and well-designed experiments. Apply causal inference where randomised tests aren't possible.
  • ● Build models of customer behaviour across the lifecycle - acquisition, conversion, retention, churn and lifetime value - with teams such as Marketing and Fraud.
  • ● Use AI to scale data science across Zego, automating experiment analysis and readouts. Build self-serve tools that help teams sharpen their hypotheses.
  • ● Take the most impactful models into production with our ML Platform team.
  • ● Set technical direction and mentor analysts and data scientists as the capability grows.

Requirements

  • ● Significant data science experience in a product-led business, with a track record of work that changed product or commercial decisions.
  • ● Strong executive presence - you influence senior leaders, challenge decisions with evidence and explain results clearly to any audience.
  • ● Expertise in experimentation.

Application Notes

Do not take our word for it. Read what Zegons say about us on Glassdoor https://www.glassdoor.co.uk/Overview/Working-at-Zego-Insurance-EIIE1851459.11,25.htm. If you're ready to build the future of insurance, we're hiring.