1 to 25 of 65 Statistical Analysis Jobs in the UK excluding London

advise on approaches for translating system definitions into detailed design specifications through to system testing. Your expertise in system architectural design, modelling, simulation, systems analysis, testing, statistical analysis, and reliability engineering will be key to guiding product manufacturing and deployment processes. Responsibilities: Collaboration with Systems Team: Oversee … to contribute to the development of comprehensive system design specifications. Utilise advanced modelling techniques to enhance the accuracy and completeness of system representations. Systems Analysis and Testing: Conduct thorough systems analysis to identify potential challenges and opportunities for improvement in the design and deployment phases. Design and implement … system testing strategies to ensure the reliability and functionality of the developed systems. Statistical Analysis and Reliability Engineering: Apply statistical analysis methods to evaluate system performance and identify areas for optimisation. Utilise reliability engineering principles to enhance the robustness and longevity of the deployed systems. Documentation more »

planning and administering patient care. Responsible for supporting the Head of Analytics in the seamless delivery of bespoke robust business intelligence (information and performance analysis) to stakeholders across our clinical divisions Core focus on the provision of bespoke analysis to operational and clinical customers by using analytics techniques … including regular performance dashboards, demand and capacity modelling, business planning, statistical analysis, and responding to ad hoc queries for information and analysis. Working as an 'Analytical Business Partner', you will ensure that operational and clinical colleagues in the Operational Division have timely access to the insights they require … to make strategic and tactical decisions. You will also have experience in working with benchmarking tools, activity forecasting, modelling, and statistical analysis. You will have proven experience in using SQL querying for analysis and programming languages such R or Python. Main duties of the job Provide specialist advice more »

are seeking a detail-oriented and analytical Management Information Administrator to join our team. The successful candidate will be responsible for the effective management, analysis, and reporting of data, supporting business processes, and interacting with clients to provide insights and solutions. This role requires a strong proficiency in Microsoft … Excel, including intermediate skills in pivot tables and VLOOKUP, as well as capabilities in data manipulation, statistical analysis, and process creation. Key Responsibilities We are looking for someone to: Data Management and Analysis: Collect, analyse, and interpret data to produce accurate and timely management information reports Utilise … Excel functions such as pivot tables and VLOOKUP to manipulate and analyse data Conduct statistical analysis to identify trends, patterns, and insights that inform business decisions Process Creation and Improvement Develop and implement efficient processes for data collection, analysis, and reporting Document processes and ensure they are more »

learn more about LexisNexis Risk at the link below, risk.lexisnexis.com About our Team: You will part of a small team assisting the business with statistical analysis and building predictive models for credit, fraud, and identity risk. About the Role: We are looking for a Data Scientist to conduct … statistical analysis and build predictive models for credit, fraud, and risk. The ideal candidate will have experience in data mining, statistical methods, and modelling/scoring techniques. They will balance day-to-day analytics assignments, research experiments and will contribute to the advancement of the global data … science group. Responsibilities Building and testing credit and fraud risk statistical models to be used by existing and new customers Providing complex analytical results in clear, simple messaging to evidence the value provided by our products Following modelling best practices and provide feedback on ways to enhance current processes more »

the formulation and execution of a comprehensive data strategy, encompassing service performance metrics, sales KPIs aligned with business objectives. Oversee the collection, interpretation, and analysis of service performance metrics, such as response times, resolution rates, and customer satisfaction scores, to optimise service delivery and enhance customer experience. Develop and … and other AI technologies to drive innovation and competitive advantage. Lead the application of advanced analytics techniques, such as predictive modelling, machine learning, and statistical analysis, to derive actionable insights from service performance metrics and sales KPIs. Design and develop intuitive and interactive dashboards, reports, and data visualisations … of experience in a leadership role within a data-driven organisation, with expertise in service performance analytics and sales KPI monitoring. proficiency in data analysis tools and techniques, including SQL, Python, R, and statistical analysis software. experience in developing and implementing data strategies that drive business outcomes more »

support third party and customer audits on site. Regular communication with customers for New Product development, product approval and complaints Establish and define competent statistical analysis, monitoring quality control data to identify trends, deviations, and potential issues, and implement corrective actions as needed. Collaborate with laboratory staff to … to enhance laboratory efficiency and effectiveness. Provide guidance and support to laboratory staff on quality-related matters, including the interpretation of regulations and standards. Analysis of laboratory performance data to provide feedback regarding manufacturing processes to improve product performance. Requirements: Performance Expectations Measurement System Analysis methodologies, particularly using … statistical analysis techniques are important for this role. A good understanding of UKAS accreditations would be beneficial. Monitor product and laboratory performance to ensure methods are followed accurately, tests meet acceptance criteria and proficiency work is satisfactory. Required Qualifications Bachelor's degree in a relevant field (e.g., quality more »

leverage your data science expertise to drive positive business impact, demonstrating experience in data preparation and EDA. You will use machine learning tools and statistical techniques to solve business problems and collaborate with non-technical experts to propose data-driven solutions. You will confidently present complex subjects to non … technical stakeholders. The ideal candidate will have advanced analytics and data science experience, successfully delivering data science projects. They will excel in data manipulation, statistical analysis, and implementing machine learning algorithms. Proficiency in BI tools (e.g., Oracle Analytics, Tableau), Python, and SQL is essential. Additionally, you will have … and development in their career. The Role: Leverage data science expertise to drive positive business impact Demonstrate experience in data preparation and exploratory data analysis (EDA) Use machine learning tools and statistical techniques to solve business problems Collaborate with non-technical experts to propose data-driven solutions Confidently more »

be a valued member of the Haematology and TYA quality team and work alongside one other Data Coordinator. Your role will involve the collation, analysis and reporting of data relating to treatment and outcome of patients within the haematology department. Main duties of the job This post will work … demonstrate excellent IT skills and a high level of competency in in all Microsoft packages, especially Excel. Although not essential, a science, mathematical or statistical related degree would be advantageous. If you are educated to a degree level with a computing qualification and have experience in working within clinical … meets the standards of quality expected for reporting to national and local commissioners and for use in national and international audit and research. Perform statistical analysis of transplant data to assess transplant outcomes, including overall survival and non-relapse mortality. Manage the reporting of transplantation outcomes and submit more »

models.Key Tasks: Fraud Detection: Access existing systems, evaluate vendor models, and create a roadmap for system improvements aimed at fraud prevention. Pattern and Irregularity Analysis: Use statistical tools to uncover patterns and irregularities in data that could indicate fraudulent activities. Predictive Modelling: Employ predictive modelling techniques to identify … Cross-Department Collaboration: Work closely with other departments to enhance overall security and fraud detection.Requirements: Programming Proficiency: Fluency in Python with deep knowledge of statistical packages and ML/DL libraries/frameworks (e.g., Scikit-learn, NumPy, Keras/TensorFlow/PyTorch) and visualization libraries (e.g., Matplotlib, Plotly, Seaborn … . Database Skills: Fluency in SQL and familiarity with data visualization tools (e.g., DataStudio, Tableau). Statistical Analysis: Basic understanding of statistical analysis. Growth Mindset: Proactive and enthusiastic about keeping up-to-date with the latest technologies and researching new ideas. Commercial Experience: Experience in implementing production more »

Key Tasks: Fraud Detection: Access existing systems, evaluate vendor models, and create a roadmap for system improvements aimed at fraud prevention. Pattern and Irregularity Analysis: Use statistical tools to uncover patterns and irregularities in data that could indicate fraudulent activities. Predictive Modelling: Employ predictive modelling techniques to identify … Department Collaboration: Work closely with other departments to enhance overall security and fraud detection. Requirements: Programming Proficiency: Fluency in Python with deep knowledge of statistical packages and ML/DL libraries/frameworks (e.g., Scikit-learn, NumPy, Keras/TensorFlow/PyTorch) and visualization libraries (e.g., Matplotlib, Plotly, Seaborn … . Database Skills: Fluency in SQL and familiarity with data visualization tools (e.g., DataStudio, Tableau). Statistical Analysis: Basic understanding of statistical analysis. Growth Mindset: Proactive and enthusiastic about keeping up-to-date with the latest technologies and researching new ideas. Commercial Experience: Experience in implementing production more »

As a Data Analyst Trainer you will teach, mentor and guide adult students of varying levels of knowledge and experience, in mastering fundamental data analysis techniques and tools. Responsibilities include collaborating with other trainers and stakeholders, conducting one-on-one or group tutoring sessions, offering personalised feedback, and facilitating … Apprenticeship · Data Analyst Higher Technical Qualifications · Data Analyst Bootcamps The role includes: Deliver mainly online and on occasions face to face training in Data Analysis to groups and individual learners. Some evening training sessions will be required for which you will receive time off in lieu. Work independently and … for someone with the following knowledge: Data Wrangling: Ability to clean, preprocess, and manipulate data from various sources to make it suitable for analysis. Statistical Analysis : Proficiency in applying statistical methods to analyse data, interpret results, and draw meaningful conclusions. Data Visualisation: Skill in creating visually appealing more »

be varied, and because of the relatively small size of the company, means your work will include a variety of project types including: Product analysis looking at player behaviour in games. Identifying how changes and game updates are affecting player behaviour. Whether its improving user experience, driving enhancements to … monetisation, or answering business related questions which arise from time to time about the player base Providing statistical analysis through the application of advanced analytics and data science techniques looking at customer churn prevention strategies and prediction, pricing and reward strategies and mechanics. With a firm understanding of … statistical significance Commercial analysis and game analytics deep diving into game performance and providing actionable insight around player and commercial objectives. Including recommendations based on those insights. Design and carry out testing through split run analysis experiments on the player base Providing data visualisations to bring the more »

Job summary The job purpose is to provide data analysis, insight and reporting for: Clinical audit, service evaluation/quality improvement and research within EHAATs Centre for Excellence. Informing operational decision-making within the service. Charity team requirements, as necessary Main duties of the job To perform analysis … Lead for Head Injury and Cardiac Arrest Lead with internal audits and assessment of key performance indicators for our service. To provide rigorous data analysis to support data-driven improvements in patient care within the service. To lead on coding and reporting for Charity and Clinical dashboards displaying key … metrics across our clinical operation. To be responsive to the wider clinical and Centre for Excellence teams needs for data analysis and statistical advice, within the guidance of the Research & Scholarship Lead and others as appropriate. To be responsive to the Operational and Charity teams needs for data more »

leading engineering company undergrowing a significant period of growth now require a Test Engineer. The Role Create test strategies, test plans, perform tests and statistical data analysis related to new products before launch and serial products on request of different departments and projects. Work on test concepts from … firmware related for various test purposes including simulation and test automatization for internal and external build following the relevant processes and demands. Use of statistical analysis to prove performance. Use of Six Sigma and statistical tools for various applications in test engineering. Direct test technicians to perform … a similar field. Previous employment within a Manufacturing environment. Experience of or exposure to test. Working knowledge of electronics equipment. Experience in testing, data analysis and documentation. Experience in planning and building test equipment including documentation hardware and software related, verification and validation. Experience within a Test Lab, R more »

Intelligence Analyst to joins its expanding team based in Chelmsford. You will be joining a team who are broadly responsible for the reporting and analysis tosupport in decision-making.The company offers trusted security advice, risk mitigation strategies, secure support and integratedsolutions for strategic clients or those operating in complex … and produce scheduled and ad-hoc reports for both internal and external stakeholders, areas include business performance, HR and Governance. Perform in-depth data analysis to identify trends and highlight issues, support the management in making better business decisions. Write T-SQL codes in the database to collect and … enhance data accuracy. Create new reports and manage/review existing reports in the SSRS as per business requirement. Opportunity to perform further meaningful analysis using various tools e.g. Looker Studio Main duties of the job Responsibilities: Advanced Google Sheet and Microsoft Excel skills. Working knowledge of database (SQL 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, statistical analysis, 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, statistical analysis, 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 »

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 »

critically * Proficient in data visualization tools, preferably Power BI * Excellent stakeholder management and communication abilities * Experience in SQL querying and data manipulation * Knowledge of statistical analysis and data mining techniques * Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, or related discipline) * Fluency in French more »

raised in relation to data and reporting Assist with the continuous improvement, development and streamlining of reporting processes Experience: Proven expertise in data modelling, statistical analysis, and the use of analytics and visualisation tools (e.g., SQL, Python, R, Tableau, Power BI) Understand MS Excel to an advanced level more »

training centre. Job description Job responsibilities Please refer to the Job Description for full details. As a Clinical Scientist (Bioinformatics) key duties include: Data Analysis & Interpretation : Conduct comprehensive analysis of genomic data using bioinformatics tools and methodologies. Interpret results in the context of rare diseases and cancer to … experience of successful project management Experience in IT, applications, developments, processes and organisation Knowledge and skills Essential Knowledge of Next Generation Sequencing approaches and statistical techniques used in manipulation of large data analysis Knowledge of bioinformatic tools, resources and techniques applied to medical genetics Proven experience of working … suitable for pipeline development and ad hoc scripting Knowledge of SQL database design, development, and administration Desirable Programming skills in a language suitable for statistical analysis (for example R or Python) Experience using bioinformatics workflow languages (such as Nextflow or WDL) Experience in LINUX administration Disclosure and Barring more »

Strong experience in Dimensional Data modelling, data warehousing, data processing (Map Reduce) Team Lead/Mentoring experience Expert in SQL and at least one statistical analysis programming language (R, Python or Julia) Proficient in at least one BI tool (Power BI, Tableau, Qlik Sense). Key responsibilities Manage … SQL Analytical programming language (Python (preferred), R or Julia) Advocate of IAC principles and best practice coding (GIT, SVN) Ability to optimise workflows and analysis for map reduce processing Experience with BI software (Power BI, Tableau, Qlik Sense) Any experience with data engineering, PySpark, Databricks, Delta Lakes beneficial Confident … presenting complex problems in ways suitable to target audience Experience leading or managing a small analysis team Familiarity working in an agile team This is a Hybrid role and will require at least 1 day week, ideally two in the HQ in Exeter If you are a highly motivated 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 »

MS) Systems, Next-Generation Sequencers (NGS), Capillary Electrophoresis Systems, Bioanalyzers, Tissue Processors, Microarray Scanners, Laboratory Information Management Systems (LIMS), Electronic Lab Notebooks (ELN), Data Analysis Software, Chromatography Data Systems (CDS), Laboratory Information Systems (LIS), Bioinformatics Software, Statistical Analysis Software, Image Analysis Software, Chemical Inventory Management Software more »

to hire multiple Data Scientists to join them in their offices in Guildford. They're looking for people that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role … You're more than capable with SQL & Python You have exposure to big data technologies such as Spark Ideally you will have experience with statistical analysis, machine learning algorithms, and data mining techniques You have excellent communication skills and can communicate well with both technical and non-technical more »