Data Scientist with AZURE ML experience
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 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 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 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)
If you are interested please submit your cv to