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Motor Pricing - Optimisation Analyst

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Policy Expert
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Job Description & How to Apply Below
Location: Greater London

Overview

Policy Expert – Motor Pricing - Optimisation Analyst

🚀 Are you ready to transform the insurance industry?

Policy Expert is a forward-thinking business that loves to get things done. Leveraging proprietary technology and smart data, we offer reliable products and a wow customer experience.

Having achieved rapid growth since being founded in 2011, we have won over 1.5 million customers in Home, Motor and Pet insurance and have been ranked the UK's No.1-rated home insurer by Review Centre since 2013. Hear from our team about what it’s like working at Policy Expert.

About Pricing

We are at the start of an exciting transformation. With bold investment in pricing, data, and technology, we’re building a new Retail Price Optimisation team to redefine how we make pricing decisions. By combining advanced analytics, machine learning, rich data, and modern cloud infrastructure, we aim to unlock faster, smarter, and fairer pricing — creating real impact for both our customers and the business.

About

the Price Optimisation team

We’re seeking bright, ambitious individuals eager to make a meaningful impact and accelerate their growth. You’ll be supported by experienced leaders in retail pricing and data science who are deeply committed to your development and success. As a lean, hands-on team, we offer a unique opportunity to take on responsibility early, drive real change, and grow alongside the business. Joining us at this early stage means you’ll help shape our innovation roadmap and team culture that’s centered around technical excellence, commercial impact, and delivering real value to our customers.

Your

day to day (Responsibilities)
  • Behavioural and Profitability Models: Develop and maintain customer lifetime value (CLTV) and price sensitivity models to support informed pricing decisions and long-term business performance.
  • Price Optimisation: Own and deliver pricing optimisation processes, including regular Efficient Frontier modelling and customer outcome simulations, to identify the optimal balance between volume, price, and contribution.
  • Innovation and Advanced Analytics: Champion continuous improvement by introducing advanced analytics techniques, machine learning approaches, and modern pricing tools.
  • Collaboration and Strategic Support: Collaborate across teams and support strategic initiatives, working closely with the Motor Risk Pricing team to align optimisation efforts and assist the Pricing Optimisation Manager with governance materials and MI.
Who are you

We know we have high expectations, so please don’t worry if you don’t tick all the boxes—you’ll learn on the job!

Essential
  • 1-3 years experience in UK General Insurance (Motor and/or Home), with a solid understanding of pricing principles.
  • Commercially minded and insight-led: able to turn analysis into actionable recommendations that drive value, with a strong grasp of how price optimisation and KPIs (e.g. LTV, conversion, retention) influence business performance.
  • Proactive with a bias for action and ownership: takes initiative to identify opportunities, drive meaningful improvements, and take accountability for outcomes.
  • Hands-on experience with statistical modelling (e.g. GLMs, GBMs, clustering) applied to business problems
  • Programming proficiency e.g. Python; R; SQL;
    Git
  • Excellent communication and stakeholder skills, with the ability to present technical insights clearly to non-technical audiences.
  • Strong organisational skills, with a proactive mindset and proven ability to manage multiple priorities independently in a fast-paced environment.
Nice-to-have
  • Familiarity with pricing/modelling software: e.g. Emblem, Radar, or Earnix
  • Experience in pricing optimisation and/or applying machine learning and operations research techniques to pricing problems
  • Experience with cloud platforms (e.g. AWS/GCP/Azure)
Benefits
  • 📍 This role will be based in our London office in a 50/50 Hybrid mode
  • 💸 We match your pension contributions up to 7%
  • 🏥 Private medical & Dental cover
  • 📚 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…
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