At a Glance
- Tasks: Lead the design and delivery of advanced pricing models using data science and machine-learning.
- Company: Join a forward-thinking company focused on innovation in commercial insurance.
- Benefits: Enjoy hybrid working, flexible hours, and generous annual leave.
- Other info: Be part of a diverse team that values individuality and supports career growth.
- Why this job: Make a real impact by shaping pricing strategies and optimising risk selection.
- Qualifications: Experience in building pricing models and strong programming skills required.
The predicted salary is between 60000 - 80000 £ per year.
We are establishing a UK Data Lab to accelerate innovation in pricing, risk selection, and optimisation across our Commercial Insurance portfolio. As a Pricing Lead, you will play a pivotal role in shaping this capability, leading the design and delivery of advanced pricing and optimisation models, ranging from traditional actuarial techniques (GLMs) to the latest data science and machine‑learning approaches. Your role will combine technical leadership, hands‑on model development, and close collaboration with underwriting, pricing, and data science teams to ensure analytical insight is translated into tangible commercial impact.
Your skills and experience:
- Essential
- Experience building commercial insurance pricing models, ideally across multiple lines of business.
- Deep expertise in GLMs, including variable selection, interactions, diagnostics, and interpretation.
- Proven experience applying data science / machine‑learning techniques (e.g. tree‑based models, regularisation, ensemble methods) in a pricing or risk context.
- Programming skills (e.g. Python, R, SQL) and experience working with large, complex datasets.
- Ability to translate analytical output into clear commercial insight and recommendations.
- Desirable
- Experience with pricing optimisation, elasticity modelling, or portfolio optimisation techniques.
- Exposure to deploying models into production pricing tools or underwriting platforms.
- Experience working within a regulated insurance environment with strong model governance requirements.
- Familiarity with cloud‑based analytics environments and modern data architectures.
You’ll make an impact by:
- Pricing & Model Development
- Lead the development of risk and optimisation pricing models for Commercial Insurance portfolios, spanning GLMs through to modern machine‑learning and data science techniques.
- Design and implement models that support risk selection, price adequacy, portfolio optimisation, and profitability.
- Ensure models are statistically robust, commercially relevant, and aligned with underwriting and pricing strategy.
- Own model documentation, validation, monitoring, and ongoing performance review in line with governance standards.
- Data Lab Leadership & Innovation
- Act as a senior technical lead within the UK Data Lab, helping define modelling standards, best practices, and ways of working.
- Identify and evaluate new data sources, modelling techniques, and optimisation approaches to enhance pricing sophistication.
- Balance innovation with pragmatism, ensuring models are scalable, explainable, and deployable in live pricing environments.
- Stakeholder Collaboration
- Partner closely with Underwriting, Pricing, Actuarial, and Data Science teams to translate business problems into analytical solutions.
- Communicate complex modelling concepts clearly to non‑technical stakeholders, supporting decision‑making and buy‑in.
- Contribute to global AI / Data Science forums, sharing insights, learnings, and best practice across regions.
- Mentoring & Capability Building
- Provide technical coaching and mentoring to analysts and data scientists within the Data Lab and wider pricing community.
- Help build a strong pricing and analytics culture, focused on continuous improvement and knowledge sharing.
Why You’ll Love It Here:
Being part of our team means you’ll have the support and freedom to bring your best self to work each day. As a permanent member, here’s what you can look forward to:
- Annual discretionary bonus
- Up to 11% pension contributions
- Hybrid working + flexible hours
- 25 days annual leave + bank holidays + buy/sell options
- Health & wellbeing + virtual GP
- Career development and mentoring
- Inclusive culture + employee networks
- Share investment options
Our DEI Commitment:
We celebrate individuality and believe our differences make us stronger. We’re proud to foster a culture where everyone feels respected, valued, and empowered to thrive. As an Equal Opportunity and Disability Confident Employer, we ensure fair consideration for all applicants and offer interviews to all disabled candidates who meet the essential criteria. We understand that everyone’s circumstances are different and are happy to explore flexible working options such as reduced hours or job shares to support work–life balance.
Pricing Lead employer: Intact Insurance (previously RSA)
Join our innovative UK Data Lab as a Pricing Lead, where you'll be at the forefront of transforming pricing strategies in Commercial Insurance. We offer a dynamic work culture that prioritises collaboration, continuous learning, and personal growth, alongside competitive benefits such as hybrid working, generous annual leave, and a strong commitment to diversity and inclusion. With opportunities for technical mentorship and involvement in cutting-edge data science initiatives, you'll find a rewarding environment that empowers you to make a significant impact.
Contact Details:
Intact Insurance (previously RSA) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Pricing Lead
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the pricing game. Building relationships can open doors that a CV just can’t.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your experiences with GLMs, machine learning, and any cool projects you've worked on. Let them see how your skills can make a real impact in their team.
✨Tailor Your Approach
Every company is different, so do your homework! Understand their pricing strategies and challenges, and be ready to discuss how you can help tackle those issues. This shows you’re not just another candidate; you’re the right fit for them.
✨Apply Through Our Website
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 genuinely interested in being part of our awesome team!
We think you need these skills to ace Pricing Lead
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with commercial insurance pricing models. We want to see how your skills in GLMs and data science techniques align with what we're looking for!
Showcase Your Technical Skills:Don’t forget to mention your programming skills, especially in Python, R, or SQL. We love seeing candidates who can handle large datasets and apply machine-learning techniques in a pricing context.
Communicate Clearly:When writing your application, aim to explain complex concepts in a straightforward way. We value clear communication, especially when it comes to translating analytical insights into commercial impact.
Apply Through Our Website:We encourage you 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, it’s super easy!
How to prepare for a job interview at Intact Insurance (previously RSA)
✨Know Your Models Inside Out
Make sure you can discuss your experience with GLMs and machine-learning techniques in detail. Be prepared to explain how you've applied these models in a commercial insurance context, including any challenges you faced and how you overcame them.
✨Showcase Your Programming Skills
Brush up on your programming skills in Python, R, or SQL. Be ready to talk about specific projects where you used these languages to work with large datasets, and how your coding contributed to successful pricing models.
✨Communicate Clearly with Non-Technical Stakeholders
Practice explaining complex modelling concepts in simple terms. Think of examples where you've successfully communicated analytical insights to non-technical teams, as this will demonstrate your ability to bridge the gap between data science and business needs.
✨Demonstrate Your Leadership and Mentoring Skills
Prepare to discuss your experience in leading teams or mentoring others in the field of pricing and analytics. Highlight any initiatives you've taken to build a strong culture of knowledge sharing and continuous improvement within your previous roles.
