Data Scientist

This job has now expired please search on the home page to find live IT Jobs.

Job Title: Data ScientistLocation: ReadingSalary: Competitive + BenefitsJob type: Permanent, Full timeThe Company launched with a fully digital, Microsoft Azure cloud-based platform which, unlike those of many insurers, is completely paperless. It does not maintain all its own back office systems but outsources core technology infrastructure to third parties. They launched and experienced rapid growth while some of its technology infrastructure and practices were still nascent. Consequently, there are some aspects of thier systems that are in the process of being upgraded including data management and reporting which currently involves combining complex data sets from disparate data sourcesIn 2020 they embarked upon a project to build a datastore in Azure to improve overall data management capabilities both now and in the future. This project included a significant exercise to create data ontologies and models and map all of their current data sources.As well as housing the data, the datastore comprises a mapper and a decision manager tool: a rules engine based on a drag and drop interface that allows them to manage and create rules around the data models. The underlying data models are based on a common ontology that describes the data and their contextual relationships across the business, linking sales, actuarial, underwriting, finance, operations, proposition and regulatory parts of the business.Data can be output via APIs or via csv into e.g. Power BI for consumption by the broader business.The Role:They're looking for a data scientist who can take their data capabilities to the next level, owning and managing the data models, completing the mapping of the datastore, providing robust and reliable data to end users and helping shape the future data strategy.Key responsibilities includeLead the design and operation of their data management and processes from raw data gathering to visualisationDesign and execute analyses from understanding business functions through delivery and presentation of resultsManage core data models developed in collaboration with business stakeholdersWork with business stakeholders in creating and delivering business analysis reports that drive key business decisionsManage data governance in collaboration with the IT teamCompleting the mapping of the entire business dataset in the datastoreKey accountabilitiesManage the baseline ontology to track current data models in context and update as the business evolvesCommunicate the data ontology structure and updates to business stakeholders as requiredComplete the ontology and mapping for the remaining datasets in the organisationManage the source data sets and containers and configure the mapping and data model management toolsEnsure source data sets are mapped correctly leveraging the company's mapping toolOversee the overall transformation and publishing of the dataManage the cataloguing and labelling of new datasets and ensure these are mapped and configured correctly through their mapping and data model management toolsDevelop and maintain large complex data sets across the business ensuring one source of the truth so that data terms are consistent across the businessTest and deploy data models to production in line with Agile techniquesDemonstrate the value of data and data derived actionable insights to the business Meet all legal and regulatory standards and data reporting requirements around GDPRWork with business stakeholders to understand key business requirements and help solve through sound business and data analysisCreate and publish datasets for Microsoft PowerBI and prepare reports and dashboards for consumption by the businessCreate new future business divisional datasets as required ensuring they are consistent with existing data modelsThe Candidate:Degree in Mathematics or Applied Mathematics, Data or Computer Science or StatisticsKnowledge of data modelling preferably through handling of complex data models and schemasKnowledge of XML and XML SchemasKnowledge of object-oriented programming languages such as Java or C##Knowledge of developing models, reports and dashboards in Microsoft PowerBIKnowledge of GitHub for version and access controlKnowledge of managing tools and components in cloud hosted environments preferably AzureKnowledge of SQL serverKnowledge of machine learning and machine learning techniques an advantageKnowledge of Enterprise Architect an advantageIdeal experienceWorking with and creating data architecturesWorking with business stakeholdersFinancial services and insurance experienceExperience in handling structured as well as unstructured dataIdeal skillsetsAbility to conceptualise business problems and solve through data analysisResults oriented, self-starter able to work with minimal guidanceExcellent communication skills with the ability to help solve business problems easily through data models and solutionsA strong eye for detailPlease click on the APPLY button to send your CV and Cover Letter for this role.Candidates with the relevant experience or job titles of; Data Scientist, Mathematician, Mathematical Data Analyst, T-SQL, SQL Server, Data Science, SQL Analyst, Python may also be considered for this role.