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Job Title: Data Scientist
Location: Manchester or Haywards Heath (hybrid working)
Role Overview
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. 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 Data Scientist, you will use your advanced analytical skills to:
- Identify and create cutting-edge data solutions that create value
- Build and help maintain sophisticated models
- Work collaboratively with other areas to increase overall company performance
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:
- Work collaborative with various departments to identify opportunities to create value, by optimising current processes or creating new solutions
- Create ambitious future-looking 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
- Use a wide range of data science and statistical techniques, including Machine Learning
- Communicate results to key decision makers across the business
- Assist in the deployment and monitoring effort to ensure efficient productisation of the solutions created
- Create solutions across a range of markets, including; Private Motor, Commercial Vehicle, Bike, Taxi, and Home
Key Skills and Experience:
- Previous experience within data science
- Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering
- Experience in programming languages (e.g. Python, PySpark, SAS, SQL)
- A good quantitative degree in, but not limited to: Mathematics, Statistics, Engineering, Physics, Computer Science
- Proficient at communicating results in a concise manner both verbally and written
Behaviours:
- 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
