Our Team

'For over 20 years, I’ve been involved with large pricing transformation programmes working for large insurers (usually starting with the letter A!).

I specialise in designing and building all aspects of pricing, delivering end-to-end solutions, and embedding pricing models in PAS from simple tabular-based structures to full unsupervised machine learning algorithms that are compliant with regulation.' 

'With over 20 years of insurance pricing experience, there's not a lot that I haven't seen and done... I can work with raw data all the way through to building, implementing multiple price optimisation structures, reporting, and supporting product development.

I am used to building high-performing teams and developing innovative solutions. One of my most successful innovations was the designing, building and marketing of the market quote data product that now underpins most modern pricing structures.' 

'I joined Pebbles after completing my Masters in Maths & Data Science in 2022 and have led the creation of our Postcode dataset, deploying a variety of machine learning techniques to feature engineer numerous columns.

I’ve also been involved in several pricing projects, delivering Co-Optimisation (GIPP Compliant) for a large global insurer’s UK motor product and building various proprietary Pebbles scores for UK postcodes.' 

'I'm the lead R&D data scientist at Pebbles, developing neural networks to predict insurance risk, while designing the cloud architecture for our bespoke product, a ‘near real-time’ market tracker. I have used some of the latest approaches to build out several Pebbles Data Products.

I provide advanced data science support covering data engineering, machine learning operation, and building innovative models using a wide range of machine learning algorithms.'