13 Contract Statistical Analysis Jobs in England

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, Statistical Analysis 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 statistical analysis to meet operational management and performance management needs of the NEPTS, as for other services provided by the Trust as required. Ensure more »

protocol positions or established institutions. Working with the Strategic Engagement Coordinator, you will track trends in priority audiences through direct engagement, research, polling and statistical analysis and analytics; as well as design and recommend PD strategies to connect with priority audience sectors to promote understanding of U.S. policy. … States are all required. Must have general knowledge of project management, including defining project objectives, outcomes, and assessment methods. Knowledge of marketing techniques, market analysis and analytics, and customer service standards in the United States and United Kingdom; knowledge of trends in EOL and EV audience engagement; understanding of … and video skills are required. Must have good numerical skills to develop and manage project and grant budgets; must be able to develop descriptive statistical analysis of relevant audience segments and to describe the outcomes of Public Engagement activities and initiatives. Availability: Must be available to travel throughout more »

understanding of cancer risk and supporting early diagnosis. Identifying relationships between service performance and patient outcomes. Partnering with external organisations to enhance cancer data analysis capabilities. To achieve these objectives, you will: Combine existing business intelligence with population health data to pinpoint areas with high demand and at-risk … populations. Undertake descriptive analysis and explore the potential of predictive analytics to prioritise referrals likely to be positive diagnoses. Work with ESNEFT data scientists to analyse performance across tumour sites and integrate health equity data to address disparities. Leverage our access to SNEE-wide population health data to build … partnerships for better service delivery. Provide dedicated ad hoc analysis support to the cancer programme. About us As a modern and effective council, weoffer a wide variety of careers to suit people with a range ofskills, abilities and ambitions. We offer working options thatflex to reflect the way people more »

forefront of innovation to address the entire breadth of opportunities in the evolving world of cloud, digital and platforms. Role purpose/summary Data Analysis: Apply statistical analysis and data mining techniques to extract insights from large datasets, supporting decision-making and strategic planning. Service Management: Utilise … Data Modelling: Develop and implement data models to support the organisation's data infrastructure, ensuring that data is structured in a way that facilitates analysis and reporting. Predictive Modelling: Build predictive models to forecast future service performance and identify potential issues before they impact service delivery. Data Visualisation: Create … communicate complex data insights in a clear and concise manner to stakeholders at all levels. Machine Learning: Apply machine learning techniques to automate data analysis and prediction processes, improving efficiency and accuracy. ServiceNow Expertise: Leverage expertise in ServiceNow to surface, link, and map data, providing comprehensive insights into service more »

Job summary The Principal Data Scientists demand exceptional expertise and practical experience in machine learning, statistical analysis, 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, statistical analysis, 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, statistical analysis, 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: statistical analysis, 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: statistical analysis, 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: statistical analysis, 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 »

requirements and translate them into technical solutions. Utilise Python libraries and frameworks such as NumPy, Pandas, SciPy, and scikit-learn to perform data manipulation, statistical analysis, and machine learning tasks. Optimise code for performance, scalability, and maintainability, ensuring adherence to coding standards and best practices. Requirements: Proven experience more »

efficiency and effectiveness of patient care. The post holder will also be responsible for provision of end user support and training, data quality and analysis, producing performance and monitoring reports. About us At UHSussex, diversity is our strength, and we want you to feel included to help us always … improvement and efficiency. Person Specification Role Requirements Essential Educated to Degree Level or relevant equivalent experience in managing and developing complex IT systems and statistical analysis. Practical Experience of Clinical Databases and their management. Working understanding of NHS IT networks, security models and NHS data communication pathways. Experience of more »