Job Title: Senior Data Scientist
Location: Manchester or Haywards Heath (hybrid working)
Role Overview
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.
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 classification, claims behaviour and fraud
- Identify and create data solutions that create value
- Work collaboratively with the pricing, claims handling and fraud 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.
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 state-of-the-art processing capabilities to improve company performance and our customer-centric offerings. This will be across Motor, Home and Commercial Lines businesses.
Key Responsibilities:
- 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
- Development of models for new products or specialised risks, such as pet insurance
- Testing of innovative predictive modelling techniques, such as automated interaction detection or the automatic smoothing of linear model trends using GAMs
- The development and maintenance of predictive models for application and claims fraud, and claims handling processes
- Be involved in the development and testing of state-of-the-art hyper-parameter tuning methods and drive efficiency in the tuning of standard machine learning processes.
- Work collaboratively with the data and pricing teams to identify solutions to wider modelling challenges
- Use a wide range of data science and statistical techniques
- Adapt known machine learning techniques to create solutions/models that are state-of-the-art and go beyond business requirements
- 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 productisation of the solutions created
Key Skills and Experience:
- D. or masters in statistics, data science or equivalent field
- Minimum of 5 years' experience within data science
- Experience and detailed technical knowledge of GLMs /Elastic Nets, GBMs, GAMs, Random Forests, and clustering techniques
- 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
- Team player
- Self-motivated with a drive to learn and develop
- Logical thinker with a professional and positive attitude
- Passion to innovate and improve processes
- Personality and a sense of humour