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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Product Owner - Insurance Analytics - **Company:** Calibre Candidates - **Location:** UK (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Software Version Control, Data Pipelines - **Published:** September 24, 2026 - **Apply:** https://www.collegerecruiter.com/job/2894757697-product-owner-insurance-analytics ## About the Role * Strong Product Owner or Product Manager experience for 3+ years following your Graduate level education (min 2:1), ideally involving a data-intensive, analytical or model-backed product * Insurer or Digital MGA background ideal - data-focused Product role within Specialty or Commercial * We would be particularly interested in candidates with experience of pricing engines, risk-scoring platforms, portfolio analytics or similarly complex systems within Insurance * The confidence to read model outputs and ask sharp, informed questions, without necessarily being a data scientist yourself * Strong agile delivery knowledge, combined with the judgement to adapt processes as needed * A clear instinct for MVP scoping: what needs to ship now, what can wait and what requires further evidence * Practical, hands-on fluency with AI tools as part of your own product workflow-not simply experience discussing AI on a roadmap * Excellent stakeholder-management skills and the ability to communicate appropriately with underwriters, actuaries, data scientists, engineers and senior leadership * Keen to work remotely from the UK, and living within easy access of London for occasional team collaboration This is a high-impact opportunity for someone who enjoys owning genuinely complex products, making evidence-led decisions and working close to the logic and data that drive a commercial insurance business. If your idea of product ownership goes deeper than features and screens-and you want to influence how risk is priced, understood and managed-we would be very interested in speaking with you. ## Description Our Digital MGA client is targeting a doubling of the business over the next three years, supported by an ambitious AI portfolio being built in-house. We are now looking for a Product Owner to take responsibility for two of their most data-intensive product areas: the rating engines that price risk and the portfolio management tools that give underwriting leadership a real-time view of exposure, concentration and performance across the book. You will need to be as comfortable discussing a pricing factor, model output or data schema as you are prioritising a backlog or leading a sprint review. This is an exciting opportunity for future career development. The opportunity You will own the roadmap and backlog for: * The shared rating and pricing engine, including product-specific rating logic, calibration, governance and version control * Portfolio management tooling covering exposure aggregation, concentration risk, loss-ratio trends and other insights used to manage the overall book * Data pipelines and analytics that turn underwriting questions into reliable, decision-ready information This role sits at the intersection of underwriting, actuarial, data science and engineering. You will not be expected to build calibration curves or models yourself-but you will need to understand their outputs, ask informed questions and explain the implications of a pricing change to underwriting stakeholders. What you'll do * Own and shape the product roadmap and backlog for rating engines and portfolio analytics * Evaluate new ideas before committing development resources * Write requirements and acceptance criteria that work for data pipelines, models and pricing logic-not simply user interfaces * Translate underwriting leadership's information needs into clear data and product requirements * Review analytical outputs before they are released * Work closely with underwriting, actuarial, data science and engineering to understand what is driving model or pricing changes * Determine when a result requires formal data science or actuarial validation * Sequence releases across regions and lines of business, progressing through to full automation * Use measured accuracy, error rates and live evidence to guide rollout decisions * Identify changes can be automated safely and which require greater control * Use AI tools directly within your own work-for example, exploring data, querying rating-engine outputs, accelerating requirements gathering or drafting technical requirements * Keep stakeholders and leadership informed with clear, credible updates about risks and uncertainty as well as progress ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Edit Your Future: Queerverse Radical AI](https://www.wearedevelopers.com/videos/909-edit-your-future-queerverse-radical-ai) - [AI in High-Stakes Industries: Lessons Learned](https://www.wearedevelopers.com/videos/100253-ai-in-high-stakes-industries-lessons-learned) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Building Products in the era of GenAI](https://www.wearedevelopers.com/videos/827-building-products-in-the-era-of-genai) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [E-Commerce in the Agentic Age: When "Buy" Becomes a Function Call](https://www.wearedevelopers.com/magazine/750-e-commerce-in-the-agentic-age-when-buy-becomes-a-function-call)