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For Companies At a Glance
- Tasks: Develop and optimise pricing models using advanced analytics and machine learning techniques.
- Company: Join a fast-growing, innovative insurance company with a focus on customer experience.
- Benefits: Hybrid work, competitive salary, private medical cover, and a £1,000 learning budget.
- Why this job: Make a real impact in a dynamic environment while accelerating your career growth.
- Qualifications: Experience in UK General Insurance and strong analytical skills are essential.
- Other info: Supportive team culture with opportunities for mentorship and professional development.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Policy Expert is a forward-thinking business that leverages proprietary technology and data to offer reliable products and a wow customer experience. Since 2011, we have grown rapidly, serving more than 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.
As one of the fastest growing insurers in the UK, you will work in a fast-paced environment and collaborate with teams using advanced analytics and machine learning for pricing. You will partner with the data engineering team and the quote engine team to support bespoke pricing algorithms.
About the Price Optimisation team: We are seeking bright, ambitious individuals who want to make a meaningful impact and grow. You will be supported by experienced leaders in retail pricing and data science who are committed to your development and success. As a lean, hands-on team, you will take on responsibility early, drive real change, and grow with the business. Joining us at this early stage means you will help shape our innovation roadmap and team culture focused on technical excellence, commercial impact, and delivering real value to customers.
Your day to day
- 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.
- 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 with the Home Risk Pricing team to align optimisation efforts and assist the Pricing Optimisation Manager with governance materials and MI.
- Leadership & Mentoring: Support and mentor junior analysts, sharing knowledge and promoting best practices across the team.
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!
- Experience in UK General Insurance (Motor and/or Home), with a solid understanding of pricing principles and regulatory governance.
- Commercially minded and insight-driven: 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) applied to business problems
- Familiarity with pricing/modelling software: e.g. Emblem, Radar, or Earnix
- 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
- 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)
This role will be based in our London office in a 50/50 Hybrid mode.
Benefits and Next Steps
We offer a benefits package including pension contributions up to 7%, a learning budget of £1,000 per year plus study leave, enhanced maternity & paternity, travel season ticket loan, and access to a wide selection of London events. We are committed to fostering an inclusive and supportive environment for all candidates and will provide reasonable adjustments during the interview process if needed.
What We Stand for We pride ourselves on being an equal opportunity employer. We recruit based solely on skills, knowledge, and experience, and value the growing diversity of our team.
Next steps We aim to be in touch within 14 working days of your application. You will be notified if successful or unsuccessful. Please apply even if you do not meet all the requirements.
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Home Pricing Optimisation - Analyst employer: Policy Expert
Contact Detail:
Policy Expert Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Home Pricing Optimisation - Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Policy Expert. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for the interview by brushing up on your knowledge of pricing principles and analytics. Be ready to discuss how your skills can drive value and impact at Policy Expert.
✨Tip Number 3
Show off your proactive side! Think of examples where you've taken initiative in past roles. This will resonate well with the team’s culture of ownership and innovation.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team.
We think you need these skills to ace Home Pricing Optimisation - Analyst
Some tips for your application 🫡
Show Your Passion for Pricing: When writing your application, let us see your enthusiasm for pricing optimisation! Share any relevant experiences or projects that highlight your understanding of pricing principles and how they can drive business performance.
Be Clear and Concise: We love a well-structured application! Make sure to keep your language clear and to the point. Use bullet points where necessary to make it easy for us to spot your key skills and experiences.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Home Pricing Optimisation Analyst role. Highlight your experience with statistical modelling and any relevant software you’ve used.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Policy Expert
✨Know Your Numbers
Make sure you brush up on your understanding of key pricing principles and KPIs like customer lifetime value (CLTV) and price sensitivity. Being able to discuss how these metrics influence business performance will show that you're commercially minded and insight-driven.
✨Show Off Your Technical Skills
Familiarise yourself with statistical modelling techniques and any relevant software like Emblem or Radar. If you have experience with programming languages such as Python or R, be ready to share specific examples of how you've applied these skills in real-world scenarios.
✨Be Proactive and Take Ownership
During the interview, highlight instances where you've identified opportunities for improvement and taken the initiative to drive change. This role values a proactive mindset, so demonstrating your bias for action will resonate well with the interviewers.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You'll likely need to present insights to non-technical stakeholders, so showcasing your ability to communicate effectively will be crucial. Think of examples where you've successfully done this in the past.
