£40K/yr to £60K/yr
Manchester, England
Permanent, Variable

Data Scientist

Posted by Vermelo RPO.

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
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