Zego

Product Manager

• Build 0-to-1 AI products
• Lead the discovery, design, and delivery of new AI-powered features
• Design lightweight experiments to test AI hypotheses
• Embed AI across the product organization
• Collaborate with ML engineers, data scientists, and software engineers
• Set rigorous success metrics for every AI initiative
• Mentor and upskill other PMs on AI-native ways of working

Senior AI Product Manager

Pricing Analyst

• Executing and refining retail pricing strategies across UK and European markets
• Analysing customer price elasticity and churn behaviour to recommend rate changes
• Monitoring the performance of optimised rates
• Leading the pricing for new, innovative products

Retail Pricing Analyst

Data Scientist

• Develop and refine risk, demand, and market models using statistical techniques and actuarial methods
• Analyse insurance data to identify trends, anomalies, and opportunities for improvements
• Collaborate with the technical and street pricing teams to implement pricing changes effectively
• Communicate complex data concepts and model outcomes to a diverse set of stakeholders
• Support continuous improvements by integrating new tools and technologies into the pricing process

Senior Data Scientist

• Lead the building and scaling of next-generation risk models, overseeing everything from creative feature discovery and advanced modeling to robust pipeline deployment and long-term R&D strategy
• Establish a reliable Data Science workflow: clear guard-rails, templates, and documentation across the full project lifecycle
• Shorten the idea-to-production cycle: from first data pull to live rate change
• Foster a culture of collaborative experimentation: pairing Pricing, Data Science, Machine Learning Engineering & Systems Engineering
• Line management and mentorship: manage 2 Data Scientists and mentor members of the team and help them in their development
• Define coding standards and best practice, map common processes and establish playbooks for them
• Help decide on tooling used during the Data Science project lifecycle

Lead Data Scientist

SEO Marketing

• Define and execute the organic roadmap, balancing quick-win commercial gains with long-term topical authority.
• Move beyond vanity metrics by segmenting performance (Brand, Commercial, Informational) and treating each as a distinct business lever.
• Lead the SEO blueprint for new product launches, from site hierarchy and keyword mapping to building "magnetic" supporting content ecosystems.
• Lead elite-level off-page strategies, managing high-tier Digital PR and link-building via internal sprints or external agencies.
• Stay ahead of the "Search Everywhere" shift by experimenting with Social Search (TikTok/YouTube), GEO (Generative Engine Optimization), and ASO.
• Oversee the ideation of brand-aligned, high-impact assets that satisfy both search intent and creative excellence.
• Conduct best-in-class audits, monitoring site health, and managing the technical backlog from sizing to deployment.
• Analyze organic data and competitor activity to identify friction points and opportunities.
• Lead continuous keyword research and landing page optimization.
• Partner with Paid Search for total-search synergy and Brand/Design to ensure SEO assets are visually stunning.
• Work alongside Product and Engineering teams to embed SEO requirements into the development lifecycle.
• Collaborate with the Comms team to turn Digital PR and community trends into long-tail keyword opportunities.
• Proactively stay up to date with commercial insights, maintaining alignment with Zego’s commercial strategy.

Senior SEO/GEO Manager

Backend Engineer

• leading multiple engineers working in the same team or workstream and guiding their work to deliver user value and go after business opportunities
• design, build and own Python microservices that power our insurance platform-secure, observable, and built for scale
• drive architectural discussions and decisions across multiple teams, shaping the future of our backend systems
• champion engineering excellence: testability, reliability, scalability, and clean code
• collaborate with engineers, product managers, designers and data analysts to deliver user and business value fast
• lead and coordinate the delivery of large, complex technical initiatives with clarity and impact
• actively coach and mentor engineers- sharing context, feedback and support to raise the bar
• identify problems, investigate root causes, and implement pragmatic solutions with autonomy
• continuously improve how we work as a team: from CI/CD pipelines to incident response and everything in between
• stay curious about how AI can enhance our work, adopting tools and workflows that unlock better productivity and insight

Senior AI Product Manager

Retail Pricing Analyst

Senior Data Scientist

Lead Data Scientist

Senior SEO/GEO Manager

Lead Backend Engineer