crime across the NHS. Further information about our work and annual plan for delivering this is available on our website. The Data Scientist role requires expertise in machine learning, statisticalanalysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in a dynamic environment. The role is critical … NHSCFA goals, ensuring accountability for innovative outcomes. Utilising the latest advanced methods, they will embed analytics into the organisation to enhance fraud detection within the NHS. Clear communication of statistical outputs and results to non-technical stakeholders is crucial, influencing decisions like criminal intervention, policy changes, or risk metrics based on data-driven insights. The role demands adherence to … documentation, and leadership. Proven experience of line managing a team of analyst as part of a data science project. Knowledge and practical experience in designing algorithms including selection, using statistical and problem centric methods to design actionable outcome across a variety of data types. Proven practical experience and expertise in AI/machine learning methods using data including the More ❯
crime across the NHS. Further information about our work and annual plan for delivering this is available on our website. The Data Scientist role requires expertise in machine learning, statisticalanalysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in a dynamic environment. The role is critical … NHSCFA goals, ensuring accountability for innovative outcomes. Utilising the latest advanced methods, they will embed analytics into the organisation to enhance fraud detection within the NHS. Clear communication of statistical outputs and results to non-technical stakeholders is crucial, influencing decisions like criminal intervention, policy changes, or risk metrics based on data-driven insights. The role demands adherence to … documentation, and leadership. Proven experience of line managing a team of analyst as part of a data science project. Knowledge and practical experience in designing algorithms including selection, using statistical and problem centric methods to design actionable outcome across a variety of data types. Proven practical experience and expertise in AI/machine learning methods using data including the More ❯
Newcastle upon Tyne, United Kingdom Hybrid / WFH Options
NHS Counter Fraud Authority
crime across the NHS. Further information about our work and annual plan for delivering this is available on our website. The Data Scientist role requires expertise in machine learning, statisticalanalysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in a dynamic environment. The role is critical … NHSCFA goals, ensuring accountability for innovative outcomes. Utilising the latest advanced methods, they will embed analytics into the organisation to enhance fraud detection within the NHS. Clear communication of statistical outputs and results to non-technical stakeholders is crucial, influencing decisions like criminal intervention, policy changes, or risk metrics based on data-driven insights. The role demands adherence to … documentation, and leadership. Proven experience of line managing a team of analyst as part of a data science project. Knowledge and practical experience in designing algorithms including selection, using statistical and problem centric methods to design actionable outcome across a variety of data types. Proven practical experience and expertise in AI/machine learning methods using data including the More ❯
permanent basis. Main duties of the job The Senior Information Analyst post holder will work to understand clinical pathways and the data collected, develop processes for collection where appropriate, analysis, validation, presentation and reporting of clinical and corporate business analytics data. This will include ensuring the Trust's information reporting obligations to the Department of Health, NHS Digital, NHS … be competent in the use of information software (e.g. SQL and Cognos) to extract and analyse the necessary data. The successful candidate will also have a solid understanding of statisticalanalysis techniques. Person Specification Qualifications Essential Educated to Degree standard or equivalent in a relevant subject or with equivalent experiential learning in the field of information analysis and reporting. Experience Essential Working within an information analysis and reporting environment Data Quality issues and solutions Using databases and spreadsheets to extract and analyse information Working within tight deadlines Desirable NHS Statutory returns Experience of using SQL and business objects Knowledge Essential Knowledge of one or more computer system(s), hardware or software and procedures to develop More ❯
and quality Work with investigators to develop and operate a Trusted Research Environment (TRE) for cancer data at the MCRC, including expanded and novel linked health, biological (e.g. mutation analysis) and additional (e.g. environmental) data sources. Develop and implement AI based technologies to enrich TRE data, including application of NLP technologies to free-text data in the medical record … databases oExperience working in computational aspects of radiotherapy physics and/or research oAssessment of clinical data quality oExperience using data standards (e.g. DICOM, HL7, FHIR) Desirable oExperience in statisticalanalysis of real-world medical data oSupervision and/or teaching oTreatment planning experience oClinical research experience (e.g. in randomised controlled trials) oExperience in the use of pragmatic … trial designs oExperience with DevOps tools such as Git and Docker Skills Essential oProficiency with computer programming languages (e.g. python) for data analysis oMultidisciplinary team working oClinical implementation and management of software systems Desirable oManagement and administration of complex computer systems, including hardware oScientific report writing/track record of publications in scientific journals and conferences. oClinical implementation of More ❯
