Job Overview
Apply on employer's website The opportunity:In the role of Data scientist/ Statistician you will be part of a growing and exciting Predictive Analytics Team with UK Underwriting, which is responsible for delivering predictive modelling, statistical services and solutions across the business. Your job will comprise claim cost modelling, geographical modelling, demand modelling, as well as providing Research and Development services to test and implement new data sources and statistical techniques that can drive and improve our performance. You will have the opportunity to make an immediate impact on business success and by using predictive modelling, bring the right solutions to the whole organisation.Key Responsibilities: Support the analytical development of UK Underwriting teams through data gathering, analysis and modelling under the direction of a more senior statistician.Demonstrate increasing knowledge of statistical techniques and procedures, including trend analysis, profiling and predictive modelling, to be able to provide first class service to external and internal customers.Provide regular insight and analysis, using multiple data sources.Work closely with the data team to steer the development of the analytical capabilitySupport project teams.Contribute to a positive and supportive team culture. Your skills and experience: Statistician/ data scientist with some experience in predictive analyticsStrong degree or MSc/PhD in a numerical subject (Maths, Statistics, Science)Some experience applying machine learning models and predictive analytical techniquesExperienced in advanced statistical analysis and data manipulation techniquesKnowledge of at least one of the following machine learning and data manipulation packages (R, Python)Previous experience of the insurance/financial industry is desirable but not essential The reward: In return we are offering an attractive salary plus a generous benefits package including bonus and defined contribution pension scheme. We are committed to continuous improvement and we offer access to a comprehensive range of training and development opportunities