21 Statistical Analysis Jobs in the North of England

What we're looking for:o Expert knowledge and expertise in applying data science and advanced analytical techniques including machine learning, natural language processing, statistical and predictive modelling and emerging techniques such as generative AI.o Ability to lead the delivery of complex, high value projects.o Expertise in using R … Data Science & Advanced Analytics team. Leads on the development and implementation of data science and advanced techniques in response to business questions including exploratory analysis, machine learning, natural language processing, data linkage, statistical and predictive modelling, data visualisation and emerging techniques such as the application of generative AI. … Provides specialist advice and guidance across the NHSBSA on data science and advanced analytical techniques including the development of machine learning, natural language processing, statistical and predictive modelling and emerging techniques such as the application of generative AI. This will include individuals and groups of customers at all levels more »

Job summary An opportunity has arisen for an information analyst to join our Performance Analysis team at Harrogate & District NHS Foundation Trust. The post holder will form part of a small team of information professionals and deliver an information service that supports the requirements of the Trust including routine … to NHS England and contract reports to commissioners) and managing an adhoc information service.The successful candidate will be highly numerate, have experience in the analysis, interpretation and presentation of complex data and be able to engage with clinicians and managers to design and develop information reports to support improvements … intelligence tools, including Microsoft Power BI, would be an advantage. An understanding of NHS data and experience of extracting data from patient systems for analysis and reporting would also be beneficial. Main duties of the job Support the design, production and implementation of comprehensive data and information reporting systems more »

DATA SCIENTIST- LOGISTICS £50,000 - 60,000 SHEFFIELD Work a crucial role within a customer focussed team, using predictive modelling and statistical analysis to provide insights that can affect this high growth retailer across their logistics! THE COMPANY A UK renowned retailer within fashion going through a HUGE … SKILLS The successful candidate will have the following skills and experience: Strong SQL and Python with previous experience in data extraction, data manipulation and statistical analysis and model deployment Expert using visualisation tools such as PowerBI or Tableau to provide insights in an aesthetic visual deck Great communicator more »

Clinical Statistical Programmer; Global Pharma, Oncology - Remote - Permanent Proclinical is seeking a dedicated Clinical Statistical Programmer with a focus on Oncology. This is a remote permanent position. Primary Responsibilities: In this role, you will apply your biostatistics skills and experience to support the development of scientifically based arguments … part of our Global Biostatistics department, collaborating with multiple functional areas across the company. Skills & Requirements: Advanced degree (MSc or PhD). Proficiency in statistical programming, particularly SAS. Detailed knowledge of CDISC standards (SDTM, ADAM). Excellent communication skills, both written and verbal, with the ability to communicate complex … statistical concepts to non-statistical audiences. Ability to work effectively in a team environment and to manage multiple projects simultaneously. Attention to detail and the ability to prioritize tasks and meet tight timelines. The Clinical Statistical Programmer will: Support analysis and reporting on clinical projects. Collaborate more »

solution delivery. The successful candidate(s) will be expected to: Lead commissions in area of efficiency & value identification, assurance & continuous improvement, construction economics research & analysis, and general data advisory services. Have experience in one or more of the following technical disciplines: Cost Model and/or Cost Estimate development … Statistical Analysis to support benchmarking and efficiency exercises Business Cases development and Cost Benefit Analysis Evaluation of strategic options to support investment decisions Design business models. Identify cost reduction opportunities through benchmarking and efficiency exercises Possess analysis capabilities which can be applied to client and industry … delivery Demonstrable experience and/or relevant qualification in one or more of the following: cost modelling, cost estimation, business case development, cost-benefit analysis or statistical analyses. Knowledge and interest in the infrastructure sector and its ongoing developments Strong capability in the Microsoft Suite of products Effective more »

analytical tools and environments to develop and deliver data science products including processing pipelines, interactive dashboards, machine learning models, as well as carrying out statistical analysis and deriving valuable insight. You will get the opportunity to work closely with customers and business experts to scope and design the … Science tools and processes Experience with Azure, Amazon or Google cloud architecture Knowledge of the data landscape in the UK and Ireland Data processing, analysis and visualization skills Strong problem-solving skills in relation to data science projects Proficiency in Python, R, C#, JavaScript or another programming language Proficiency 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 »

ideally Azure) and modern reporting/bi/visualisation platforms such as MS Power BI - Will be able to build and exploit data models, statistical analysis or predictive analytics, machine learning or artificial intelligence - Be experienced at embedding insights and working with the business to be able to 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 »

this role are expected to apply knowledge of experimental methodologies, statistics, Reinforcement Learning, Optimisation, Probability Theory, and Machine Learning using code for tool building, statistical analysis, and modelling, using both general-purpose software and statistical languages. The ideal candidate will have endless curiosity and can pair a … up which helps manage the entire model lifecycle: feature engineering, model training/evaluation, versioning, deployment/online serving and monitoring prediction quality Data Analysis/Feature Engineering: Apply your expertise to identify and calculate features that can be leveraged by multiple use cases as well as models Model … training with batch and real-time prediction scenarios: Use machine learning and statistical modeling techniques such as Reinforcement Learning,Decision Trees, Logistic Regression, Bayesian Analysis, Neural Networks and others to develop and evaluate algorithms to improve product/system performance, quality and accuracy Low level systems debugging, performance more »

of the North. Development and application of these tools requires a range of analytical techniques, including: acquiring and storing spatially enabled data; undertaking advanced statistical analysis; developing strategic modelling tools; carrying out economic appraisal of different transport options and providing objective, compelling recommendations to policy makers. Role overview … We are looking to appoint an Analyst to further strengthen our transport modelling and analysis team within TAME, establishing ourselves as a centre of excellence for those disciplines across The North and an innovator in the industry. The Analyst will provide key input into the technical delivery of a … and expectations across TfN, our local and national partners. The Analyst will develop and operate transport models in several software packages to provide strategic analysis of road and rail interventions, selecting relevant information and applying specialist techniques in the development of business cases, transport strategies and policies or technical more »

Senior Stakeholders alongside creating general reports. Requirements: Proficiency with Power BI and DAX or similar data visualisation and ETL tools. Proven experience in data analysis, minimum 2 years Advanced Expertise in Excel, including modern functions, Power Query and data visualisation Proven track record in computational modelling & or statistical analysis, and Machine Learning Having a working knowledge of using SSRS would be an advantage Responsibilities: Data Management: Work along with our team to engineer the best solutions for reports from a 'Single Source of the Truth'. Data Analysis and Modelling: Utilise ETL tools to analyse more »

address health inequalities and wider determinants of health in South Yorkshire. Job description Job responsibilities A key aspect of the role will include the analysis, interpretation and reporting of complex information and data using a variety of formats. Provide high quality strategic and operational policy advice to the directorate … in specialist area. Evidence of continuing professional development Desirable Additional management or specialist qualification or significant experience in specialist area such as financial management, statistical analysis or business management. Membership of a relevant professional body Attributes Essential Works well with others, learns from the contribution of others. Commitment more »

Develop and implement data-driven solutions using machine learning, statistical analysis, 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 »

services from Cloud providers (AWS, Azure, GCP). • Python and Jupyter ecosystem (Lab, Notebook) and related libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong more »

Data Reports utilising data visualisation tools, improving the current reporting systems and providing solutions for replacements where needed. Responsibilities: In the realm of data analysis and modelling, one's responsibilities include utilising SQL for the extraction, transformation, and analysis of data from diverse sources. This also encompasses the … creation of data models and the execution of statistical analyses to unearth trends, patterns, and anomalies. Expertise in Excel is demonstrated through proficiency with advanced formulas, pivot tables, and data visualisation techniques. This expertise is further applied in collaboration with stakeholders to develop and maintain intricate spreadsheets that serve more »

complex account in conjunction with business unit and support groups • Leads a team of Associate Analysts, Analysts, or Sr. Analysts to deliver high quality analysis and clear recommendations that create value for clients. Oversees the delivery of consultative recommendations to clients, drawing from information captured from the team and … leveraging prior experience • Ensures consistency of approach, quality of insight, and accuracy of delivery across programs • Oversees descriptive and statistical analysis, qualitative process documentation via interviews, focus groups, and side by side or remote observations, recommendation development, and initiative measurement • Provides technical guidance, answering questions, strategizing analytical framework … and work plan development, checking and validating results and findings, etc. • Communicates results of detailed data analysis in way that ties to business impacts and is compelling to stakeholders and clients • Co-leads internal and external client presentations of key insights, gap assessments, solution recommendations, and initiative success measurement more »

and cyber security applications to safeguard users data · Prepare a report log on daily occurring queries to the development team · Monitoring data quality, performing statistical analysis of data Desirable Requirements · Strong knowledge about SQL data and Excel skills · ¾ years’ experience as a help desk Qualifications and Experience: · A more »

to promote a positive working environment. Reporting of equipment and software faults to the Operations Manager. Providing relevant information and data to management for statistical analysis and reports. Facilitate the assessment and implementation of new policies, procedures or practices, resulting from evidence originating from both within and outside more »

performance. Collaborate closely with cross-functional teams including Operations, Logistics, and IT to understand business requirements and develop innovative solutions. Utilize your expertise in statistical modeling, machine learning, and time series analysis to extract insights from large-scale datasets and drive data-driven decision-making. Continuously monitor and … abreast of industry trends and best practices. REQUIREMENTS: Strong proficiency in programming languages such as Python or R, with experience in data manipulation and statistical analysis. Solid understanding of forecasting methodologies including time series analysis, regression, and machine learning algorithms. Previous experience working in supply chain or logistics more »

ensure that any data anomalies which are found are rectified and the cause determined to prevent recurrence. To ensure accurate data collection, collation and analysis for clinical, audit and research purposes within the Haematology Department; specifically Bone Marrow Transplant Unit to provide such data to International, national, regional and … administrators with the data entry and configuration tasks necessary to support the BMT Electronic Database (Access) and administration systems already in place. Data Retrieval, Analysis and Validation: To work alongside the current Data Manager and Data Administrator in delivering an efficient and effective information service to internal and external … clients. Acting on routine and ad hoc information requests in a timely manner, collecting and entering data, undertaking data analysis and ensuring accurate and user-friendly reports are produced. To be responsible for responding to data queries within their set timeframe and liaising with the study associates. Access data more »