Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Product Manager - AI and Data Science

Hiscox
London
2 months ago
Applications closed

Related Jobs

View all jobs

Engineering Manager – Product Safety

Engineering Manager – Product Safety

Engineering Manager – Product Safety

Engineering Manager – Product Safety

Engineering Manager – Product Safety

Engineering Manager – Product Safety

Job Type:

Permanent

Build a brilliant future with Hiscox
 

Location: London (Hybrid working available) 

Reporting to: Head of Data Science 

Project: Various AI Initiatives

Role Overview

We are seeking a product owner to join our newly formed innovation lab, specifically focusing on transformational change powered by data and AI. These transformative projects aim to create a frictionless, data-first customer experience insurance using AI/ML technologies.

As the product owner on the lab you will aid discovery of new opportunities and ensure we are balancing the need for short term delivery against long term solutions whilst enabling a R&D mindset. The innovation teams will work as cross-functional teams to rapidly prototype and implement solutions with measurable commercial impact, targeting high value MVPs followed by phased implementation. Your responsibility will span over multiple products.

Work with the go to market teams to ensure that we rapidly release value while also having a suitable support model.

Key Responsibilities

Enable Data and AI Implementations: Enable the experimental teams to rapidly prototype, discover new approaches.Drive Data-First Approach: Design and implement solutions that minimise customer data entry while maximising data quality through external source integration and validationFast release of value:Be constantly considering ways of releasing value from the experimental work ensuring that it is suitably supported by the go to market teams.Collaborate Cross-Functionally: Work closely with underwriting SMEs, UX designers, and technical teams to ensure solutions meet business requirements and regulatory standards

Required Experience & Skills

Regulatory Awareness: Familiarity with regulatory considerations for AI/ML in insurance, including fairness, explainability, and compliance requirementsRapid Delivery Focus: Demonstrated ability to deliver high-quality solutions in fast-paced environments with tight deadlinesCommercial Acumen: Understanding of business metrics and ability to translate technical solutions into commercial value

Desirable Skills & Experience

Insurance Industry Experience: Experience working with insurance data, particularly in underwriting, pricing, or risk assessment for commercial linesAI/ML experience: Proven experience delivering products with a strong AI or data science emphasis.

Why This Role?

This is a unique opportunity to:

Work on a high-profile, transformative initiative with direct C-suite visibility Apply cutting-edge AI technology to solve real business problems Deliver measurable commercial impact within a short timeframe Shape the future of underwriting in a leading global insurer


Work with amazing people and be part of a unique culture

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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.