Senior Data Scientist- Hybrid

1 month ago

Manchester, United Kingdom Vermelo RPO Full time

Job Title: Senior Data Scientist
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.
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
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.
Be the technical lead in the development of predictive models that solve business challenges through one-off analyses or bespoke modelling. 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
Assist in the deployment and monitoring effort to ensure efficient productisation of the solutions created
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)

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