Data Scientist - London, United Kingdom - GerrardWhite

GerrardWhite
GerrardWhite
Verified Company
London, United Kingdom

2 weeks ago

Tom O´Connor

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Tom O´Connor

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Description
Data Scientist with AZURE ML experience
Flexible Location
Salary depending on experience

Our client 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.

They are 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 insurancepricing 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

Key Responsibilities

  • Work collaborative with various departments to identify opportunities to create value, by optimising current processes or creating new solutions
  • Create ambitious futurelooking solutions/models that are stateoftheart 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

Key Skills and Experience:


  • Minimum of 2 years' experience within data science
  • Experience working with AZURE ML
  • 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)
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