At a Glance
- Tasks: Lead the development of innovative machine learning models to enhance insurance solutions.
- Company: Join Markerstudy Group, a leading UK insurance provider with a collaborative culture.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on continuous learning and improvement.
- Why this job: Make a real impact in the insurance industry using cutting-edge data science techniques.
- Qualifications: PhD or masters in data science/statistics, plus relevant experience in data science.
The predicted salary is between 60000 - 80000 £ per year.
Markerstudy Group are looking for a 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.
Role Overview
- 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.
- Be the technical lead in the development of predictive models that solve business challenges through one-off analyses or bespoke modelling.
- 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 (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.
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