Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead R&D projects and develop advanced statistical models for insurance pricing.
- Company: Join a forward-thinking insurer focused on innovation and technology.
- Benefits: Flexible remote or hybrid work options and opportunities for professional growth.
- Why this job: Make a real impact by applying machine learning to improve pricing accuracy.
- Qualifications: Experience in data science and statistical modelling, with mentoring skills.
- Other info: Be part of a dynamic team that values creativity and strategic change.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
Take the lead in advancing pricing sophistication for one of the UK's leading insurers. You'll drive innovation in data science and model development across Motor, Home, and Specialty lines, while turning analytical insight into real commercial impact.
Key Responsibilities
- Lead the development, validation, and enhancement of complex actuarial and statistical pricing models across multiple products.
- Partner with underwriting and senior leadership to embed analytical insight into pricing and product decisions.
- Champion continuous improvement by introducing innovative methodologies and ensuring best practice in data science and pricing governance.
What You'll Bring
- Strong background in actuarial pricing or statistical modelling within general insurance.
- Skilled in Python or R, with experience using Radar, Emblem, or similar pricing software.
- Commercially minded communicator with proven ability to engage, influence, and present complex insights clearly.
Why Join?
You'll be part of a forward-thinking insurer that values flexibility, creativity, and professional growth. Whether full-time, part-time, or job-share, this role offers autonomy, innovation, and meaningful impact.
Eames Consulting is acting as an Employment Agency in relation to this vacancy.
Technical Pricing Manager employer: Eames Consulting
Contact Detail:
Eames Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Pricing Manager
✨Tip Number 1
Network like a pro! Reach out to professionals in the insurance and pricing sectors on LinkedIn. We can leverage our connections to get insights about the company culture and even potential referrals.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Since you’ll be dealing with statistical models and machine learning, we suggest practising common case studies or technical questions that might come up.
✨Tip Number 3
Showcase your mentoring skills! If you’ve got experience guiding others, make sure to highlight that. We want to see how you can help translate complex data into insights, just like in the job description.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for innovative thinkers who can make an impact in our team.
We think you need these skills to ace Technical Pricing Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Technical Pricing Manager role. Highlight your experience with statistical models, machine learning, and any relevant projects that showcase your ability to drive strategic change.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about pricing and how you can contribute to our innovative team. Share specific examples of how you've mentored others or translated complex data into insights, as this is key for the role.
Showcase Your Analytical Skills: In your application, don’t shy away from demonstrating your analytical prowess. Mention any tools or techniques you’ve used in the past that relate to data science and pricing accuracy, as we’re looking for someone who can hit the ground running.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. This way, we can ensure your application gets the attention it deserves and you can easily keep track of your application status.
How to prepare for a job interview at Eames Consulting
✨Know Your Numbers
As a Technical Pricing Manager, you'll be dealing with complex statistical models. Brush up on your data analysis skills and be ready to discuss specific examples of how you've used machine learning techniques in past projects. This will show your potential employer that you can hit the ground running.
✨Showcase Your Mentoring Skills
Since mentoring analysts is part of the role, prepare to share experiences where you've guided others. Think about how you helped someone translate complex data into actionable insights. This will demonstrate your leadership abilities and your commitment to team development.
✨Understand the Industry Trends
Stay updated on the latest trends in insurance pricing and data science. Be prepared to discuss how these trends could impact the company and its pricing strategies. This shows that you're not just knowledgeable but also genuinely interested in the field.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to innovation and how they integrate R&D into their pricing strategies. This not only shows your enthusiasm for the role but also helps you gauge if the company aligns with your career goals.
