At a Glance
- Tasks: Lead pricing analysis using data science and AI to drive impactful decisions.
- Company: Join Cuvva, a pioneering tech company revolutionising car insurance.
- Benefits: Enjoy a flexible WFH setup, a four-day work week, and generous holiday.
- Why this job: Make a real difference in the future of insurance with innovative pricing strategies.
- Qualifications: Experience in personal lines pricing and proficiency in Python or R required.
- Other info: Be part of a diverse team that values your unique perspective and growth.
The predicted salary is between 78000 - 104000 £ per year.
Location: Very flexible - we’re happy for folks to work WFH and lots of us do. We only ask that you come into our London office a couple of times a month for team strategy days and socials - but of course, you're more than welcome to come in as much as you like! (+ we’re working a 4 day work week - Fridays off!)
Contract: Permanent
Salary: £90,000 - £100,000 + benefits listed below
About Cuvva: We’re on a mission to give everyone affordable access to a car anytime, anywhere. We offer short-term car insurance through our world-class app, creating truly flexible products that meet people’s real needs. Using lightning-fast technology to unlock better experiences and fairer prices for our customers, Cuvva is building the future of insurance every day.
About the role: We’re looking for a commercially minded and technically skilled Principal Pricing Analyst to join our Pricing function at Cuvva. The Principal Pricing Analyst is a senior individual contributor role responsible for owning the pricing modelling framework, advancing the use of data science, AI and machine learning in pricing, setting pricing judgement and analytical standards, and delivering pricing recommendations across the business. Reporting directly to our Director of Pricing & BI, you’ll act as a trusted expert in pricing modelling and decision-making as Cuvva continues to evolve and scale.
On a day-to-day basis you’ll be:
- Owning Data science led analytical and modelling approach for complex pricing problems, from problem definition through to recommendation and impact assessment.
- Building, assessing and evolving pricing models (e.g. GLMs, GAMs, GBMs or similar) with a focus on commercial relevance and sustainability, not just technical correctness.
- Leveraging AI and ML technologies and techniques to data mine, derive and deliver insights and elevate the Pricing function.
- Independently determining when modelling and analysis are robust enough to inform pricing decisions, and clearly articulating risks, limitations and trade-offs.
- Translating model outputs into clear, actionable pricing recommendations linked to expected business impact (e.g. loss ratio, conversion, risk mix).
- Operating as the primary owner of pricing recommendations for assigned areas, operating with a high degree of autonomy and accountability.
- Partnering closely with stakeholders across Pricing, Underwriting, Product and the wider business to shape decisions through strong analytical insight.
- Communicating complex pricing concepts in a way that enables confident decision-making at different levels of seniority.
- Setting and upholding high standards for pricing analysis, including documentation, validation, reproducibility and clarity of outputs.
- Identifying weaknesses or gaps in existing pricing approaches and recommending improvements to tooling, processes or methodology.
- Providing informal mentorship and guidance to other Analysts, helping raise the overall quality of analytical thinking across the team.
- Contributing to the evolution of pricing strategy by bringing deep analytical insight, market awareness and commercial judgement.
- Anticipating future pricing challenges as the business scales and proactively adapting analytical approaches to meet increasing complexity.
You’ll do great here if you:
- Have strong hands-on experience in personal lines pricing (insurer or MGA).
- Are confident owning pricing changes end to end, from modelling through to recommendation.
- Have advanced proficiency in Python and/or R and SQL.
- Are comfortable selecting modelling approaches and making judgement calls, not just running analysis.
- Can clearly explain trade-offs between growth, conversion and risk to non-technical stakeholders.
- Enjoy working cross-functionally and influencing decisions through evidence rather than hierarchy.
- Take pride in producing work that is decision-ready, not just technically correct.
It’s a bonus if you:
- Have experience with pricing platforms such as Akur8, Radar/Emblem, Quantee or similar.
- Have worked in fast-moving or lean insurance environments.
- Have exposure to experimentation or A/B testing in a pricing or underwriting context.
- Have experience translating analytical outputs into commercial strategy.
Benefits:
- Very flexible WFH set up, we only ask folks to come in a couple of times a month for team strategy days and socials.
- A four day work week (Fridays off!).
- Transparent salary model and bands for all roles.
- 20.5 days of holiday a year + public holidays - rising with each year at Cuvva.
- Quarterly team socials and company events.
- Private medical insurance with Bupa.
- Professional development budget.
- Health, WFH and wellbeing budget.
- Increases to all allowances year on year.
- Enhanced parental leave and pay.
- Cycle to work scheme.
- Mental Health and Coaching Support.
- Hundreds of perks and discounts with Perkbox.
- £100 a month towards your Cuvva car insurance.
- Referral bonus when you bring your friends to join the Cuvva team.
The hiring process:
- Initial chat with hiring manager (60m).
- Technical interview, take home task review & live Q&A (90m).
- Key stakeholder chat (45m).
- Founders chat with our CEO, Freddy (20m).
Referrals: Know someone who could be right for this job? We’d love to hear from them, please drop us a note at jobs@cuvva.com to let us know who you’ll be referring and for which role.
Cuvva ways of working: We’re dedicated to creating a place where people want to work, a place where people believe in what they’re doing, have clear expectations and a bunch of freedom.
Diversity, inclusion and belonging at Cuvva: At Cuvva, we’re dedicated to building an environment where individuals from all walks of life feel a sense of belonging and have the support they need to thrive.
Important note on eligibility: We’re really grateful for the interest we receive from candidates around the world. However, for this role we’re unable to offer visa sponsorship or transfers, so you’ll need to have the existing right to work in the UK.
Principal Pricing Analyst employer: Cuvva Limited
Contact Detail:
Cuvva Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Pricing Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Cuvva. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for your interviews by diving deep into pricing models and data science techniques. Be ready to discuss how you've tackled complex problems in the past – it shows you're the real deal!
✨Tip Number 3
Show off your analytical skills! Bring examples of your work to the interview, especially if they relate to pricing strategies or AI applications. It’s all about proving you can deliver actionable insights.
✨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, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Principal Pricing Analyst
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Principal Pricing Analyst role. Highlight your experience in personal lines pricing and any relevant technical skills, like Python or R, to show us you’re the right fit!
Showcase Your Analytical Skills: We want to see how you approach complex pricing problems. Include examples of past projects where you’ve used data science or machine learning to drive pricing decisions. This will help us understand your thought process and expertise.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your achievements and how they relate to the role. We appreciate decision-ready work, so make sure your application reflects that!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, we love seeing applications come directly from interested candidates!
How to prepare for a job interview at Cuvva Limited
✨Know Your Numbers
As a Principal Pricing Analyst, you'll need to be comfortable with data. Brush up on your pricing models and be ready to discuss how you've used data science, AI, or machine learning in your previous roles. Prepare examples that showcase your analytical skills and how they’ve led to successful pricing strategies.
✨Communicate Clearly
You’ll be expected to explain complex pricing concepts to non-technical stakeholders. Practice articulating your thought process and the trade-offs between growth, conversion, and risk. Use simple language and relatable examples to ensure everyone understands your recommendations.
✨Show Your Collaborative Spirit
Cuvva values teamwork, so be prepared to discuss how you’ve partnered with different departments in the past. Highlight instances where your insights influenced key decisions and how you navigated challenges while working cross-functionally. This will show that you can thrive in their collaborative environment.
✨Be Ready for Technical Questions
Expect technical questions during the interview, especially around your proficiency in Python, R, and SQL. Brush up on your coding skills and be prepared to solve problems on the spot. Demonstrating your technical expertise will help build confidence in your ability to handle the role's demands.