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- Tasks: Lead innovative pricing solutions and develop predictive models using advanced technical skills.
- Company: Join Markerstudy, a leading UK insurance provider known for innovation and growth.
- Benefits: Enjoy private medical insurance, life assurance, flexible working, and generous annual leave.
- Why this job: Shape the future of pricing and make a real impact in a dynamic environment.
- Qualifications: Experience in insurance pricing and strong skills in predictive modelling and programming.
- Other info: Collaborative culture with clear career progression and professional development opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Location: Peterborough, Manchester, London, Stoke-on-Trent (flexible hybrid working). We support remote working with occasional travel to our offices.
Are you ready to use your technical expertise to help transform pricing capabilities? At Markerstudy, we are on a mission to redefine how we deliver value to our customers and the business. This is your opportunity to join our Pricing Transformation team and play a key role in shaping the future of pricing across one of the UK's leading insurance providers.
Why this role matters
As Transformation Principal Pricing Analyst, you'll combine advanced technical skills with thought leadership to deliver innovative pricing solutions that maximise value for both customers and the business. You'll provide technical leadership on modelling and optimisation, champion best practices, and coach team members to embed cutting-edge methodologies across the department. Ultimately, you'll play a pivotal role in driving the evolution of our pricing capability and ensuring we stay ahead in a fast moving market.
What you'll do:
- Lead the development and maintenance of predictive models (GLMs) and price optimisation techniques, including machine learning algorithms (GBM), Lifetime Value models (LTV), and fair pricing principles.
- Provide technical leadership on WTW Radar and Emblem, driving effective and efficient solutions.
- Research, develop, and champion best practice methods; upskill the team through coaching and code reviews.
- Query and engineer large datasets (e.g., Python/R/SQL/PySpark) on modern platforms (e.g., Azure Databricks).
- Communicate pricing proposals and insights clearly and persuasively to stakeholders at all levels.
- Collaborate with Modelling, Optimisation, and Street Pricing teams to ensure solutions meet business objectives and are production ready.
- Coach and mentor team members, fostering a culture of innovation and continuous improvement.
What we're looking for:
- Previous experience in general insurance pricing.
- Strong technical expertise in predictive modelling techniques (e.g. GLMs and machine learning models).
- Proficiency in programming languages such as R, Python, PySpark, SAS, or SQL.
- Good knowledge of Azure Databricks and modern data technologies.
- Experience with WTW Radar software and optimisation tools.
- A quantitative degree in Mathematics, Statistics, Engineering, Physics, Computer Science, or Actuarial Science.
- Excellent communication skills to convey complex technical concepts to technical and non-technical audiences.
- A passion for innovation, continuous improvement and challenging the norm.
What we offer
- A collaborative, fast-paced environment where innovation thrives.
- Private medical insurance, life assurance (4x salary), and yearly bonus scheme.
- 25 days annual leave increasing with length of service, plus bank holidays (with options to buy more).
- Modern, vibrant offices and flexible hybrid working.
- Clear opportunities for career progression and professional development.
About Markerstudy
Markerstudy Group is one of the UK's leading insurance providers, known for its innovative approach and rapid growth. With over 6,000 colleagues and 8 million customers, we deliver a wide range of motor, home, pet, and specialist insurance products through well-known brands like Swinton, Carole Nash, and Marmalade. We're passionate about using data, technology, and creativity to make insurance smarter and more accessible. Joining our Pricing team means you'll work across multiple areas of the business, gaining exposure to a wide variety of challenges and opportunities. You'll be central to shaping customer pricing strategies, driving value, and influencing decisions at the heart of a dynamic, forward-thinking organisation. As a business committed to sustainability and investing in its people, we're proud to hold Investors in People Gold accreditation. We offer clear opportunities for career progression, professional development, and the chance to make a real impact in a growing organisation where your work truly matters.
Ready to make your mark? Apply now and help lead the future of pricing transformation at Markerstudy.
Transformation Principal Pricing Analyst employer: Gerrard White
Contact Detail:
Gerrard White Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Transformation Principal Pricing Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their pricing strategies and be ready to discuss how your skills can help them innovate. Show them you’re not just another candidate, but someone who’s genuinely excited about their mission.
✨Tip Number 3
Practice your communication skills! Being able to convey complex technical concepts clearly is key. Try explaining your past projects to friends or family who aren’t in the field – if they get it, you’re on the right track!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and take the initiative to connect with us directly.
We think you need these skills to ace Transformation Principal Pricing Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Transformation Principal Pricing Analyst role. Highlight your experience with predictive modelling and programming languages like R and Python, as these are key for us.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical expertise! We want to see your experience with GLMs, machine learning, and tools like WTW Radar. Be specific about your contributions and achievements.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about pricing transformation and how your skills align with our mission at Markerstudy. Keep it engaging and relevant.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Gerrard White
✨Know Your Numbers
Brush up on your predictive modelling techniques, especially GLMs and machine learning algorithms. Be ready to discuss how you've applied these in past roles, as well as any specific projects where you’ve used R, Python, or SQL to drive pricing strategies.
✨Showcase Your Leadership Skills
As a Transformation Principal Pricing Analyst, you'll need to demonstrate your ability to lead and mentor. Prepare examples of how you've coached team members or championed best practices in previous positions. This will show that you can foster a culture of innovation.
✨Communicate Clearly
You’ll be communicating complex technical concepts to various stakeholders. Practice explaining your past projects in simple terms, focusing on the impact of your work. This will help you convey your insights persuasively during the interview.
✨Research the Company
Familiarise yourself with Markerstudy’s mission and values, especially their focus on innovation and customer value. Think about how your skills align with their goals and be prepared to discuss how you can contribute to their pricing transformation journey.
