expertise to maximise our impact using your knowledge, experience, and passion for your chosen field. 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 … 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. … 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 more »
expertise to maximise our impact using your knowledge, experience, and passion for your chosen field. 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 … 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. … 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 more »
Newcastle Upon Tyne, United Kingdom Hybrid / WFH Options
NHS Counter Fraud Authority
expertise to maximise our impact using your knowledge, experience, and passion for your chosen field. 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 … 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. … 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 more »
Milton Keynes, Buckinghamshire, South East, United Kingdom Hybrid / WFH Options
Forward Role
and drive business deicions. This will suit a candidate who enjoys working with large datasets, and has a strong understanding of predictive models and statistical analysis. Keen to speak to candidates who have the following: Strong SQL skills for querying large datasets Advanced knowledge of Python programming language Experience more »
Technical Data Analyst 4 months contract (Inside IR35) London (hybrid working) Previous Experience Essential: Analysis of data, report writing Desirable: Knowledge of the UK education system IT Literacy Essential: Competent user of word processor (Word), spreadsheets (Excel), and Python or user of SPSS and/or R (and a … Summary As agreed and directed by the Senior Manager, the Technical Data Analyst will: Support the TSI team with the provision of data and statistical analyses and/or modelling for awarding purposes, as required, working closely with Leads and Specialists; Be able to manipulate, analyse and interpret complex … data sets of examination data including statistical and psychometric analyses of outcomes and performance, with guidance as necessary. Gain a good understanding of qualifications, their structure such as weighting and scaling measures, and other aspects of results delivery, for example, aegrotat calculations. Translate and present data in a meaningful more »