Job summary EMAS is looking for a proactive analytical individual to support the Non-Emergency Patient Transport Service in undertaking analysis and performance reporting to support service improvement. Key skills include SQL, Power BI, StatisticalAnalysis and being able to present information in an easy to understand … with opportunities to work across the range of service areas the team support. The post holder must be an expert in the collection, manipulation, analysis, interpretation, and presentation of information, contributing to the provision of timely and quality management of information to support cost-effective and responsive NEPTS services … to identify trends, exceptions, problems, good practice, and areas of concern for all levels of management, providing recommendations where appropriate; To deliver data and statisticalanalysis to meet operational management and performance management needs of the NEPTS, as for other services provided by the Trust as required. Ensure more »
late phase trials, and from simple to complex interventions. You will be involved in all aspects of study design, protocol development, database design, and statistical analysis. You will work in collaboration with clinical teams, and be given the opportunity to co-author conference abstracts and peer-reviewed journal papers … holder will be part of the Research Data and Statistics Unit (RDSU), which provides expert support and advice relating to the full range of statistical and analytical aspects of the Trust's clinical research programmes. The focus of the role is involvement in all aspects of study design, protocol … development, database design, data handling, trial management and statistical analysis. The majority of the time will be spent on the analysis of research data, ensuring that the appropriate statistical techniques are used, and presenting and explaining the results to users in a clear, comprehensible manner. The post more »
Newcastle Upon Tyne, United Kingdom Hybrid / WFH Options
NHS Counter Fraud Authority
Job summary The Principal Data Scientists demand exceptional expertise and practical experience in machine learning, statisticalanalysis, and fraud detection. They must possess excellent communication and collaboration skills and be experts in detecting fraud using statistical methods and disseminating all products, including fraud detection models, into a … control and implementation to guidance, leadership, and direction of the team. oProven practical experience in fraud detection methods using data including the implementation of statistical modelling and methods into a live production environment oPractical experience in designing algorithms, using statistical and problem centric methods to design actionable outcome … across a variety of data types. oExtensive practical experience in data science including the implementation of statistical modelling in a real-world environment oExperience and strong proficiency in programming languages for data science, e.g., SQL, R and Python alongside the ability to use tools and packages such as Alteryx more »
Job summary The Principal Data Scientists demand exceptional expertise and practical experience in machine learning, statisticalanalysis, and fraud detection. They must possess excellent communication and collaboration skills and be experts in detecting fraud using statistical methods and disseminating all products, including fraud detection models, into a … control and implementation to guidance, leadership, and direction of the team. oProven practical experience in fraud detection methods using data including the implementation of statistical modelling and methods into a live production environment oPractical experience in designing algorithms, using statistical and problem centric methods to design actionable outcome … across a variety of data types. oExtensive practical experience in data science including the implementation of statistical modelling in a real-world environment oExperience and strong proficiency in programming languages for data science, e.g., SQL, R and Python alongside the ability to use tools and packages such as Alteryx more »
Job summary The Principal Data Scientists demand exceptional expertise and practical experience in machine learning, statisticalanalysis, and fraud detection. They must possess excellent communication and collaboration skills and be experts in detecting fraud using statistical methods and disseminating all products, including fraud detection models, into a … control and implementation to guidance, leadership, and direction of the team. oProven practical experience in fraud detection methods using data including the implementation of statistical modelling and methods into a live production environment oPractical experience in designing algorithms, using statistical and problem centric methods to design actionable outcome … across a variety of data types. oExtensive practical experience in data science including the implementation of statistical modelling in a real-world environment oExperience and strong proficiency in programming languages for data science, e.g., SQL, R and Python alongside the ability to use tools and packages such as Alteryx more »
in data engineering. oExperience/understanding of data lifecycle management frameworks and project management methodology. oExperience in technologies relating to Data Science, for example: statisticalanalysis, machine learning, or natural language processing. oExperience with relational SQL and databases. oExperience with Azure cloud services. oMaster's degree, in relevant more »
in data engineering. oExperience/understanding of data lifecycle management frameworks and project management methodology. oExperience in technologies relating to Data Science, for example: statisticalanalysis, machine learning, or natural language processing. oExperience with relational SQL and databases. oExperience with Azure cloud services. oMaster's degree, in relevant more »
Newcastle upon Tyne, United Kingdom Hybrid / WFH Options
NHS Counter Fraud Authority
in data engineering. oExperience/understanding of data lifecycle management frameworks and project management methodology. oExperience in technologies relating to Data Science, for example: statisticalanalysis, machine learning, or natural language processing. oExperience with relational SQL and databases. oExperience with Azure cloud services. oMaster's degree, in relevant more »
in Data Engineering, including understanding of databases, data retrieval via query languages like SQL or Kusto, and experience with data management, data visualization, and statistical analysis. If this role is of interest, please do apply with your latest CV for an immediate review more »
Knutsford, Cheshire, North West Hybrid / WFH Options
LA International Computer Consultants Ltd
Develop and implement data-driven solutions using machine learning, statisticalanalysis, and data visualization techniques. * Design, build, and maintain data pipelines and ETL processes to collect, process, and analyze large datasets. * Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. * Perform data … exploration and analysis to uncover insights and inform decision-making. * Create and deploy predictive models and algorithms to solve complex business problems. * Optimize and tune machine learning models for performance and scalability. * Develop and maintain documentation for data science processes, models, and code. * Stay up-to-date with the 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 »
