What you will be doing

• 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.

What you’ll need

• 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.

Nice to have

• 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.

Perks and 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.