Job Description
Job title:Senior Data ScientistLocations: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.Role overviewAs 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 pricing and classification and regression modelsIdentify and create data solutions that create valueWork collaboratively with the pricing, retail and machine learning teams to provide insight across the businessYour ideas and solutions will enable improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance marketIdentify and create solutions that leverage vast data assets and lead the development of bespoke machine-learning models to improve the underwriting performance of the Group.Key Responsibilities:Develop and test modelling improvements for pricing models, particularly in motor. These might include improvements in hyper-parameter tuning methods, model performance, model stability and feature explainabilityBe the technical lead in the development of predictive models that solve business challenges through one-off analyses or bespoke modelling.
Such work would include risk classification, such as area or vehicle classification, as well as predictive models for other business use cases such as conversion or retentionAdapt known machine learning techniques such as GBMs to create solutions/models that are state-of-the-art and go beyond business requirementsWork collaboratively with other teams to identify improvements to risk modelling and wider business challengesUse a wide range of data science and statistical techniquesResearch and leverage new and existing internal and/or external data sourcesCommunicate results to key decision makers across the businessAssist in the deployment and monitoring effort to ensure efficient productisation of the solutions createdKey Skills and Experience:PhD. or masters in statistics, data science or equivalent fieldPrevious experience within data scienceExperience in commercial pricing and modelling, ideally with a focus in MotorExperience and detailed technical knowledge of GLMs /Elastic Nets, GBMs, GAMs, Random Forests, and clustering techniquesExperience in programming languages (e.g. Python, PySpark, R, SAS, SQL)Proficient at communicating results in a concise manner both verbally and writtenBehaviours:Motivated by technical excellenceTeam playerSelf-motivated with a drive to learn and developLogical thinker with a professional and positive attitudePassion to innovate and improve processesTPBN1_UKTJ