Motor Pricing - Optimisation Manager at Policy Expert

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

05 Jan, 26

Salary

0.0

Posted On

07 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Quantitative Analysis, Pricing Principles, Statistical Methods, Machine Learning, SQL, Python, MLOps, Project Leadership, Communication Skills, Stakeholder Management, Cloud Technologies, Optimisation Techniques, Data Science, Customer Lifetime Value Models, Pricing Modelling Platforms, Continuous Improvement

Industry

Insurance

Description

Policy Expert – Motor Pricing - Optimisation Senior 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’ve 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’re 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: Behavioural and Profitability Models: Oversee the development and refinement of customer lifetime value (CLTV) and price sensitivity models, ensuring insights directly support strategic pricing decisions and sustainable business growth. Price Optimisation: Lead the design and delivery of pricing optimisation initiatives, including Efficient Frontier modelling and customer outcome simulations, to guide the business toward an optimal balance of volume, margin, and profitability. Innovation and Advanced Analytics: Drive innovation by embedding advanced analytics, machine learning techniques, and modern pricing tools into core business processes, shaping a forward-looking pricing strategy. ML Engineering Integration: Collaborate with ML Engineering to enhance model sophistication, ensuring seamless integration with Radar API and establishing robust MLOps pipelines for scalable deployment. Leadership & Mentoring: Provide direction, coaching, and mentorship to analysts and data scientists, fostering technical excellence, knowledge sharing, and a culture of continuous improvement. Who are you: We know expectations are high, so if you don’t tick every box, that’s okay — what matters most is your ability to learn and grow on the job! Essential MSc, PhD, or equivalent experience in a quantitative field Background in UK General Insurance (Motor and/or Home), with a strong grasp of pricing principles and regulatory frameworks Exposure to pricing/modelling platforms such as Emblem, Radar, or Earnix Strong foundation in statistical methods and ML algorithms, with proven ability to apply them to business-critical challenges High proficiency in SQL and Python, with strong knowledge of ML libraries (e.g. scikit-learn, XGBoost, SciPy, PyTorch) Demonstrated experience in leading projects that take advanced models from prototype to production, delivering measurable impact Strategic leader with a focus on innovation, continuous improvement, and challenging the status quo to achieve meaningful business outcomes Excellent communication and stakeholder management skills, with the ability to translate complex technical insights into actionable recommendations for senior leadership Nice-to-have Familiarity with MLOps and development best practices: version control (e.g. Git), CI/CD pipelines, testing, and Agile ways of working Hands-on experience with optimisation techniques (e.g. gradient descent, Bayesian methods, Lagrangian methods) in pricing or related domains Background in UK General Insurance (Motor and/or Home), with a strong grasp of pricing principles and regulatory frameworks Exposure to pricing/modelling platforms such as Emblem, Radar, or Earnix Proficiency with cloud technologies (AWS, GCP, or 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 Private Lounge 🌈 Employee Wellbeing Programme 🚪 Prayer room in Office 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. Useful links: Glassdoor | Trust Pilot

Responsibilities

Oversee the development of customer lifetime value and price sensitivity models to support strategic pricing decisions. Lead pricing optimisation initiatives and drive innovation through advanced analytics and machine learning techniques.