Technical Pricing Manager

Vermelo; Peterborough; Hybrid; GBP 70,000 - 100,000; Full time

Job summary

Vermelo is seeking a Technical Pricing Manager to drive incremental value through advanced pricing models and optimisations. You will deploy cutting‑edge modelling approaches, integrate data science techniques, and lead the pricing team to deliver commercial uplift.

The role combines remote work with occasional travel, requiring strong communication of complex concepts to a non‑technical audience and a track record of delivering pricing insights that boost business results.

Qualifications

• Strong numerical degree with hands‑on pricing or actuarial experience.
• Experience building pricing models and optimising pricing.
• Ability to explain complex statistics to non‑technical stakeholders.

Responsibilities

• End to end production of pricing models using a tailor-made pricing pipeline.
• Use Earnix to build predictive statistical models and optimise customer prices.
• Improve pricing process and increase pricing performance and efficiency.
• Lead R&D to innovate modelling and pricing methodologies.
• Evaluate tools and data items created by data science teams.
• Ensure activity aligns with pricing governance and controls.
• Collaborate with Commercial Pricing Team and stakeholders.
• Manage, mentor and coach junior team members.

Skills

Pricing

Statistics

Machine learning

Python

R

Communication

Leadership

Education

Graduate or postgraduate degree in Statistics/Mathematics

Tools

Earnix

Radar

Python

R

Job description

Job Title: Technical Pricing Manager

Location: A large potion of the team are based in Peterborough, however we are happy to have a largely remote working approach to this, with the occasional travel should you not be local.

Role purpose

We are looking for a Technical Pricing Manager to generate incremental lifetime value of our portfolio through the delivery and development of retail pricing models and optimisations using innovative and cutting-edge modelling approaches.

You will help continuously improve the pricing process and enhance the abilities of the wider team, as well as being involved with integrating and establishing the use of advanced data science and statistical techniques to enhance pricing model accuracy and output.

Key Responsibilities

• End to end production of pricing models using a tailor-made pricing pipeline
• Use of Earnix to build predictive statistical models and intelligently optimise customer prices
• Contribute and implement improvements to the pricing process to increase pricing performance and efficiency
• Contribute and lead research and development opportunities to help innovate and improve current modelling and pricing methodologies
• Evaluate and utilise tools and data items created by the data science teams
• Ensure all activity is compliant with pricing governance and follows established controls
• Work closely with the Commercial Pricing Team to ensure pricing models meet business objectives, and manage relationships with key stakeholders around the business
• Manage, mentor and coach more junior members of the team

About you:

• Highly numerate with a graduate or postgraduate degree in Statistics, Mathematics or another analytical subject
• Experience in a pricing or actuarial role within general insurance
• Experience with price optimisation tools (Earnix/Radar)
• Experience using and implementing advanced machine learning methods
• Able to communicate complicated statistical concepts to an informed but non-technical audience
• Experience with using software packages such as R or Python to solve problems
• Proven ability to deliver commercial value through pricing insight
• Proven ability to provide commercial uplift from research and development projects
• Strong people management skills