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

Apply Now

Head of Data Science

Policy Expert
City of London
1 week ago
Create job alert

🚀 We’re on a mission to make: The most successful insurance disruptor people want to stay with for life


Are you ready to transform the insurance industry with innovative technology? AtPolicy Expert , we are on a mission to revolutionize Home, Pet and Motor insurance, making it clear, fair, and great value for customers. Since our inception in 2011, our breakthrough thinking and proprietary tech, have won us over 1.5 million customers and the title of the UK’s No.1-rated home insurance provider for 9 years. 🏆


At Policy Expert, data is at the heart of everything we do, and our ambition is clear: our data and analytics will enrich every customer experience, optimize every business decision, and empower every colleague. The Exec and Board have committed significant investment to establish and mature our data capabilities, underpinned by a transformative Data Strategy built around three core pillars: Operating Model, Data & Analytics Platform, and Data Culture.


We have five disciplines – Data Management, Engineering, Science, Analytics, and Visualisation – that collaborate with the rest of the business to drive incremental value through data, operational excellence, and business agility.


About the Data Science team

This is an exciting time for our Data Science team. We’re expanding our work across claims, operations, underwriting, and marketing — and this is only the beginning.


Our models will power a best-in‑class customer experience, from acquisition through to claims, giving us deeper insight into who our customers are and what they need.


With strong support from our leadership team, we have the autonomy to move fast, make data‑driven decisions, and respond to an ever‑changing market. This agility gives us a competitive edge and positions us for scalable growth.


The next 24 months will be pivotal as Policy Expert embarks on an exciting new chapter — and our Data Science team will be at the center of it.


The role and what you’ll be doing

  • As Head of Data Science you’ll lead on our strategy and roadmap for using data science and ML initiatives to support our ambitious growth plans. Activities will include:
  • Recruiting, leading and mentoring our Data Science team, and creating a community of practice to share knowledge and expertise.
  • Work closely with our Head of Data products, building relationships across the organisation, to identify opportunities to apply machine learning and data science across to drive growth, solve problems and increase automation across the business.
  • Develop and own a roadmap for implementing Data Science across our business areas.
  • Continuously improving our engineering practices across data science products to operate at pace and at scale.
  • Be a champion of data science and ML, communicating it’s value to colleagues across the business.
  • Oversee, and contribute to, the development of machine learning models, working closely with the Machine Learning Engineers to ensure they are working as expected in production.
  • Work closely with the Data Engineers and Analysts to source data needed from our systems and third‑party suppliers.

What we are looking for

  • You are customer focused. You can find the right balance between outcome delivery and technical excellence.
  • Experience leading and managing Data Scientists, while also doing hands‑on work while the team is small.
  • Enjoy taking the initiative and thinking strategically to find innovative ways to apply data science that drives business value.
  • Excellent communication skills with both technical and non‑technical audiences.
  • Knowledge of the latest technologies in the Data Science and ML space, and enjoy sharing your knowledge with your team and colleagues.
  • Experience building machine learning models and working with ML Engineers to deploy them into production.
  • Demonstrate in-depth knowledge of data science tools and techniques, which you can use to solve problems creatively and to create opportunities for the business.
  • Good programming skills with R or Python and good working knowledge of SQL and experience querying large datasets.
  • Knowledge of the insurance industry would be an advantage but not essential.
  • Ideally you will have experience working with AWS or GCP tools.

📍 This role will be based in our London office in a 50/50 Hybrid mode.


📚 Learning budget of £1,000 a year + Study leave (with encouragement to use it)


😁 Enhanced maternity & paternity


🚉 Travel season ticket loan


🎟️ Access to a wide selection of London O2 events and use of a Private Lounge


What We Stand for and Next Steps

We pride ourselves on being an equal opportunity employer. We treat all applications equally and recruit based solely on an individual’s skills, knowledge, and experience. The quality and growing diversity of our team is a testament to this commitment.


At Policy Expert, we are committed to fostering an inclusive and supportive environment for all candidates. If you require any reasonable adjustments during the interview process to accommodate your needs, please do not hesitate to let us know. We are dedicated to ensuring every candidate has an equal opportunity to succeed and will work with you to provide the necessary support.


We aim to be in touch within 14 working days of your application – you will be notified if successful or unsuccessful. Please be encouraged to apply even if you do not meet all the requirements.


Interested in building your career at Policy Expert? Get future opportunities sent straight to your email.


#J-18808-Ljbffr

Related Jobs

View all jobs

Head of Data Science

Head of Data Science

Head of Data Science

Head of Data Science Technology (Product, Engineering, Design) ¡ London ¡

Head of Data Engineering

Head of Data Engineering

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.