zego - Lead Product Data Scientist
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 and causal inference, with many online experiments designed and analysed. • Experience building customer models such as churn, propensity, LTV or segmentation - and getting them used in real decisions. • Strong Python and SQL, with confidence working AI-first (and the judgement to spot when AI output is wrong). • Experience taking models into production on AWS SageMaker or a similar ML platform. • Familiarity with experimentation or product analytics platforms such as Statsig or Amplitude. • Experience with Snowflake, dbt and Looker or a similar modern data stack. • Experience of marketing measurement such as media mix modelling or incrementality testing. • A background in insurance, fintech or another regulated or subscription business. • THE ZEGO WAYS OF WORKING 🏡 • Teams work better with time to collaborate and space to get things done. We call it Zego Hybrid: some of us are in our office (central London or Halifax) weekly, others monthly or quarterly. It's about finding the balance between face time and focus that produces great work and a healthy life around it. • We also make a point of getting everyone in the same room. Teams come together every quarter, and once a year the whole company does, properly. It's a serious investment and consistently one of the best parts of the year. • Here is what the last one looked like https://www.youtube.com/watch?v=QKOYDx6AMxQ.
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.
Benefits
• 💰 Market-competitive salary, benchmarked against your function and reviewed every year. • 🏆 Annual performance bonus, linked to company performance and your contribution. • 📈 Share options, a real stake in the company and a share in the future you build • 🩺 Private medical insurance. • 🏖️ Pension, generous holiday, and £1,000 a year to spend on getting to the office or learning something new. • 💻 Cutting-edge systems and tools, so you always have what you need to drive your impact. • Ready to do the most impactful work of your career? We want to hear from you. • Zego, leading the AI evolution in insurance. • EQUAL OPPORTUNITIES 🌈
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