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- 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 Ā£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 Ā£ per year.
šAre you ready to transform the insurance industry?
Policy Expert is a forwardāthinking 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, weāve won over 1.5 million customers in Home, Motor and Pet insurance and have been ranked the UKās No.1ārated home insurer by Review Centre since 2013. š
As one of the fastest growing insurers in the UK, you will enjoy a fastāpaced environment and thrive in a forwardāthinking culture. You will be part of a team utilising advanced analytics and machine learning techniques applied in pricing structures. You will be working in collaboration with the data engineering team and the quote engine team to support the bespoke pricing algorithms.
About the Price Optimisation team:
Weāre seeking bright, ambitious individuals eager to make a meaningful impact and accelerate their growth. You will be supported by experienced leaders in retail pricing and data science who are deeply committed to your development and success.
As a lean, handsāon 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 youāll help shape our innovation roadmap and team culture thatās centered around technical excellence, commercial impact, and delivering real value to our 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 longāterm 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 Home Risk Pricing team to align optimisation efforts and assisting 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 donāt worry if you donāt tick all the boxes, youāll certainly 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 insightādriven: 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.
- Handsāon 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 nonātechnical audiences.
- Strong organisational skills, with a proactive mindset and proven ability to manage multiple priorities independently in a fastāpaced environment.
Niceātoāhave
- 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).
š This role will be based in our London office in a 50/50 Hybrid mode
šø We match your pension contributions up to 7%
š Learning budget of Ā£1,000 a year + Study leave (with encouragement to use it)
š Enhanced maternity & paternity
š Travel season ticket loan
šļø 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 individualās 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 ā 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.
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Home Pricing Optimisation - Analyst employer: Policy Expert
Contact Detail:
Policy Expert Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Home Pricing Optimisation - Analyst
āØTip 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.
āØTip 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.
āØTip Number 3
Show off your proactive side! Think of examples where you've taken initiative in past roles. This will resonate well with the teamās culture of ownership and innovation.
āØTip Number 4
Donāt forget to apply through our website! Itās 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 š«”
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: Donāt 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 youāve used.
Apply Through Our Website: We encourage you to apply directly through our website. Itās the best way for us to receive your application and ensures youāre considered for the role. Plus, it shows youāre keen to join our team!
How to prepare for a job interview at Policy Expert
āØKnow 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.
āØShow 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.
āØBe 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.
āØCommunicate 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.
