Job title: Senior Data Scientist

Locations: Manchester or Haywards Heath (hybrid working)

Markerstudy Group are looking for a Senior Data Scientist to join a quickly growing company in developing ambitious solutions across a range of insurance lines, by leveraging vast data assets and state-of-the-art processing capabilities.

Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1b. The majority of business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury’s, O2, Halifax, AA, Saga and Lloyds Bank to list a few.

Role overview

As a Senior Data Scientist, you will use your advanced analytical skills to:

Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models
Identify and create data solutions that create value
Work collaboratively with the pricing and machine learning teams to provide insight across the business
Your ideas and solutions will enable improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market
Identify and create solutions that leverage vast data assets and lead the development of bespoke machine-learning models to improve the underwriting performance of the Group.

Key Responsibilities:

Develop and test modelling improvements for pricing models, particularly in motor. These might include improvements in hyper-parameter tuning methods, model performance, model stability and feature explainability
Be the technical lead in the development of predictive models that solve business challenges through one-off analyses or bespoke modelling. Such work would include risk classification, such as area or vehicle classification, as well as predictive models for other business use cases such as conversion, retention or price optimisation
Prototype ML solutions before handing to the ML team for implementation
Conduct more advanced yet focused research and development to solve business challenges
Work collaboratively with other teams to analyse and identify improvements to risk modelling and wider business challenges
Use a wide range of data science and statistical techniques
Research and leverage new and existing internal and/or external data sources
Communicate results to key decision makers across the business
Assist in the deployment and monitoring effort to ensure efficient implementation of the solutions created

Key Skills and Experience:

PhD. or masters in statistics, data science or equivalent field or Degree with number of years of relevant experience
Previous experience within data science
Experience in insurance pricing and modelling
Experience and detailed technical knowledge of GLMs /Elastic Nets, GBMs, GAMs, Random Forests, Neural Networks and clustering techniques
Knowledge of statistics and distributions commonly used in insurance
Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL)
Proficient at communicating results in a concise manner both verbally and written

Behaviours:

Motivated by technical excellence
Driven to deliver iterative improvements in a timely fashion
Team player
Self-motivated with a drive to learn and develop
Logical thinker with a professional and positive attitude