Health Data Scientist

As a Health Data Scientist in the Demographic Risk group at Just, you will play a crucial role in analysing health-related data to derive actionable insights that inform decision-making processes and drive improvements in pension provision.You will be comfortable working independently and as part of small teams in dynamic projects across Just to develop predictive models, identify health and mortality trends, and implement data-driven solutions.You will use a variety of data sources (structured and unstructured) to perform analytics and generate actionable insight and models. You will be responsible for identifying opportunities for improvements across systems and processes. You will ensure that our analytics activities comply with data protection law and that we are upholding our values and ethics in how we use data.Nature of the Role:Data Analysis & modellingClean, preprocess, and validate health data to ensure accuracy and reliability of analyses.Produce and present insightful analysis from multiple large data sources to help driveBusiness performanceDevelop high-quality analytics using appropriate, industry-standard tools, technologies andlanguages.Data InsightsCollaborate with actuaries, underwriters, biostatisticians and other data users to understandhealth and longevity trajectories and tailor analytical solutions accordingly.Communicate complex health-related findings and insights to both technical and nontechnical stakeholders in a clear and understandable manner.Advise on the development and improvement of processes and procedures which maintainWork with colleagues to agree, document, implement and monitor actions for improving thequality of dataSupport the implementation of the data governance framework at Just.Stay current with advancements in health informatics, medical research, and data science topropose and implement innovative solutions.Ensure that high-quality documentation is developed, maintained, regularly reviewed andstored for all solutions developed and all operational processes.Perform peer reviews of solutions and documentation in order to ensure that procedures andstandards are followed consistently. Continuously work towards the objective of building inquality and provide appropriately tested solutions.Examples of Key Activities:Setting data science priorities in consultation with business ownersEstimating and tracking the benefits of data science projectsSourcing and analysing dataSpotting trends, patterns, and relationships within dataUsing data-driven techniques for solving business problemsCommunicating the results of your analysis to business ownersDocumenting your programs and quality assurance processDeploying and reviewing quality assured modelsQualificationsEssential for the role Desirable Master's in a quantitative field such as Health Informatics, Biostatistics, Epidemiology, or related discipline.PhD in quantitative field such as Health Informatics, Biostatistics, Epidemiology or related discipline. Microsoft Azure qualifications or equivalentSkills and KnowledgeAnalysis of structure, semi-structured and unstructured dataProgramming – SQL, Python, R, JuliaAI/ML ethicsUnderstanding of Data Governance concepts and best practiceQuick understanding of business problems and requirementsA willingness to learn new skills and adopt to new technologiesGood understanding of Microsoft Server technologies (Azure, T-SQL, SSIS, SSRS, Power BI)ExperienceAt least five years’ experience of working as a Data Scientist or equivalent role, in applying statistical models and machine learning algorithms to health-related data setsExperience and ability to respond to business needs by identifying appropriate statistical methodologies and presenting insight for decision makingAttention to detail & problem-solving skillsRelationship building skills and collaborative working styleExperience with IT development processes and delivery lifecycles; development methodology; release strategy and configuration management; development tools, and applications across full project lifecyclesExperience with Power BI or a similar data visualisation tool is desirable
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