National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Pricing Product Manager

Haywards Heath
2 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer, Pricing London, England, United Kingdom

Principal Product Manager – Data Science & Machine Learning

Senior Data Scientist

Senior Data Scientist

Pricing Manager (Data Scientist) - Remote

Pricing Manager (Data Scientist) - Remote

Pricing Product Manager

This role is largely remote but will involve the occasional travel. 

We are seeking an experienced Pricing Product Owner to lead the development and optimisation of our pricing and underwriting capabilities. You’ll translate business objectives into product backlogs and work closely with pricing, underwriting, data science, and technical teams to deliver iterative, high-impact solutions.

This role is critical to shaping how we understand and develop our people and technology capabilities, from pricing risks, looking at automation opportunities, and improve customer experience through data-led decisions and frictionless trading.

Key Accountabilities & Responsibilities:

Own and maintain the product backlog for pricing capability initiatives, aligned with the Trading Transformation deliverables.

Define clear user stories, acceptance criteria, and prioritisation based on business value and technical feasibility.

Act as the voice of the business and end-user, bridging underwriting, pricing, and technology teams.

Work closely with Scrum Masters and development teams to ensure sprint goals are well-defined and achievable.

Partner with Underwriters, Actuaries, Data Scientists, and other stakeholders to gather requirements and define features.

Assist with the development of pricing models, underwriting workflows, and self-service tools for internal users or relevant business partners.

Use market insight, data, and feedback loops to drive continuous improvement.

Ensure product deliverables align with regulatory standards, risk appetite, and strategic underwriting objectives.

Monitor KPIs such as quote accuracy, time-to-underwrite, conversion rates, and pricing model performance.

Skills, Experience & Knowledge:

Proven experience as a Product Owner (or similar change delivery focused role) in insurance, ideally within pricing or underwriting.

Deep understanding of agile product delivery, backlog grooming, and stakeholder engagement.

Ability to articulate pricing or underwriting logic in business and technical terms.

Strong collaboration skills working with data, actuarial, and software engineering teams.

Experience with Jira, Confluence, or similar tools.

Knowledge of insurance pricing tools such as Radar, Earnix or custom pricing APIs (advantageous).

Familiarity with personal/commercial lines underwriting workflows or automation platforms (advantageous).

Product Owner certification (e.g., CSPO, SAFe POPM) would be preferred.

About our organisation:

Markerstudy is one of the largest insurance intermediaries in the UK, insuring over 8 million customers, accredited Investor in People employing more than 7,000 staff across the UK with a vision to be the No.1 provider of general insurance services and innovative solutions to customers in the UK.

Benefits:

Company Funded Private Medical cover

28 days Holiday

Opportunity for yearly bonus

Collaborative, fast paced working environment

Please apply with your up-to-date CV

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.