1 to 25 of 97 Statistical Analysis Jobs in the UK excluding London

data and data science. We address a broad spectrum of reliability problems where data-driven approaches can be applied, combining subject matter expertise with statistical, predictive, and generative AI/ML methods to improve reliability in ways that truly matter to our client's users and customers. In this … role, you will design statistical and machine learning tools, influencing engineering priorities and roadmaps in key areas like software rollouts and change management. You will have a direct impact on our Platform reliability, gaining deep knowledge of relevant engineering infrastructure and data assets to solve complex issues. Behind everything ...

Develop reusable software frameworks, libraries, and tools to improve engineering efficiency. Write clean, well-documented, and testable code following established development standards. Measurement & Data Analysis Develop algorithms and data-processing routines to calculate, analyse, and visualise measurement results. Translate engineering requirements into automated measurement and analysis solutions. Validate … measurement algorithms and ensure accuracy and repeatability of results. Support statistical analysis and interpretation of test data. Test System Development Contribute to the design, integration, and commissioning of automated test systems. Support the specification, selection, and integration of measurement instruments and associated hardware. Participate in the design ...

Develop reusable software frameworks, libraries, and tools to improve engineering efficiency. Write clean, well‐documented, and testable code following established development standards. Measurement & Data Analysis Develop algorithms and data‐processing routines to calculate, analyse, and visualise measurement results Translate engineering requirements into automated measurement and analysis solutions Validate … measurement algorithms and ensure accuracy and repeatability of results. Support statistical analysis and interpretation of test data. Test System Development Contribute to the design, integration, and commissioning of automated test systems Support the specification, selection, and integration of measurement instruments and associated hardware. Participate in the design ...

generation through to evidence-based recommendations. Evaluate diverse structured and unstructured datasets to identify commercial opportunities. Establish and maintain high standards for data evaluation, statistical analysis, and technical excellence. Improve processes to increase the speed and accuracy of data source assessments. Partner with data acquisition teams to support … automation to enhance research quality and efficiency. Your Skills & Experience Strong commercial experience leading data science, data research, analytics, or statistical research teams. Deep expertise in statistical analysis, data modelling, and working with complex real-world datasets. Advanced Python and SQL skills with the ability to review ...

multiple sources Design and implement robust monitoring, alerting, and health check programs to ensure sustained data and model performance at scale Drive experimentation and statistical analysis to uncover actionable insights and inform decision-making across business domainsPartner with cross-functional leaders to align analytics initiatives with strategic objectives … mentoring data-focused teams Proficiency in SQL and at least one programming language (e.g., Python, R) Strong background in experimentation design, causal inference, and statistical analysis Experience working with large-scale data pipelines and production-level analytics systems Proven ability to drive measurable business impact through data ...

scientific data into software the rest of the business can rely on? We're looking for an experienced Engineering Manager to lead our Data Analysis team - so named for what the product delivers to customers, though the team itself is a software and algorithm engineering team - building the applications … salary review and the opportunity to work on genuinely innovative semiconductor technology About the role You’ll lead the team that builds our image‐analysis application: consolidating multiple data streams from the microscope, flattening and correcting scan images, recognising scanned features and measuring their height, and running statistical ...

sources. Assess the quality, reliability, and commercial value of datasets to determine whether they are worth purchasing and integrating into products. Design and oversee statistical analysis, modelling, and time series research to validate potential data assets. Work closely with stakeholders across data, partnerships, and technology teams to develop … efficiency and quality. Your Skills & Experience Strong commercial experience in data science, statistics, quantitative research, or a related field. Python skills, with experience applying statistical analysis and time series techniques to complex datasets. Strong understanding of data quality assessment, feature engineering, and modelling. Strong communication skills with ...

input Define Critical Process Parameters (CPPs) and Critical Quality Attributes (CQAs) Develop, optimise and control coating, surface preparation and chemical treatment processes Use DoE, statistical analysis and structured problem-solving to improve process capability, yield, throughput, cost and consistency Establish and monitor process KPIs and drive continuous improvement … Investigate production issues, process variation and yield loss using root cause analysis Collaborate with R&D, Manufacturing, Quality, Supply Chain, Operations and external suppliers/technology partners Essential Experience Degree in Chemical Engineering, Materials/Surface Science, Chemistry, Physics or a related discipline Significant process engineering experience ...

subscription analytics. Advanced SQL skills with experience working in cloud-based data warehouse environments. Experience creating data models and transforming raw event data into analysis-ready datasets. Strong dashboarding and reporting experience using BI tools such as Looker Studio or similar platforms. Knowledge of statistical analysis techniques … including cohort analysis, experimentation, regression, survival analysis, and predictive modelling. Experience developing LTV, retention, or churn analysis frameworks. Excellent problem-solving skills and attention to detail. Ability to communicate complex insights and influence stakeholders across multiple business functions. Experience with Python or R would be beneficial. Exposure ...

between business goals and technical execution. Your day to day will include: Analysing and understanding a business problem or opportunity Undertaking research and analysis to understand how a business or business area works, considering the people, organisation, processes, information, data and technology Identifying areas for improvement, explore feasible options … needs to enable effective design, development and testing of services and business change making decisions related to prioritisation and minimum viable product by using analysis led insights Ensuring new products and services meet business and user needs, and are aligned with organisational goals Understanding any business and policy constraints ...

excellent opportunity for a mid-level Data Scientist who enjoys solving real-world business problems and wants the opportunity to work across machine learning, statistical analysis and data-driven decision-making. Key Responsibilities Develop and deploy machine learning and statistical models to solve business problems. Analyse large … complex datasets to identify trends, patterns and opportunities. Use Python and SQL to extract, manipulate and analyse data. Perform exploratory data analysis and feature engineering. Build predictive models and evaluate their performance. Work closely with Data Engineers to ensure reliable and scalable data pipelines. Translate technical findings into clear ...

PowerBI, Tableau, Qlik Programming languages: SQL, Python, R Experience in any aspects of the data analytics lifecycle, for example: Data Manipulation and ETL Data Analysis & Visualization Applying machine learning statistical analysis and other advanced analytics techniques to key business issues faced by our clients that can transform ...

company, or on projects for such companies, would be advantageous. Predictive and/or prescriptive analytics and machine learning. Practical experience of mathematical and statistical analysis and modelling skills, including sensitivity and scenario analysis of analytical models. Demonstrable use of R, Python, Matlab, SAS, SPSS or similar … statistical packages to process data and carry out advanced analytics techniques. Experience in advanced data visualisation techniques along with tools such as Qlik, Power BI and open source visualisation tools. Experience working with professional coding technologies such as Git and Docker. Experience working with modern cloud technologies such ...

schemas, DAX measures, KPIs, calculation logic and documented business rules. Introduce AI in a practical, responsible and well-governed way, identifying opportunities to improve analysis, automate routine tasks and support better decision-making. Help establish one version of the truth by creating consistent definitions, trusted measures, governed models … Services. Use Microsoft Fabric, Power BI and related tools to prepare, model, validate and analyse data, improving data quality, reporting reliability and insight. Apply statistical, predictive and machine learning techniques where appropriate to identify patterns, forecast trends, support segmentation, evaluate impact and generate practical recommendations. Train and mentor other ...

process more than 1.5 million bets per hour at peak. Job Description As a Data Scientist, you will develop machine learning solutions and perform statistical analysis to inform strategic, data-driven business decisions and initiatives. Our Data Analytics team monitors, analyses, and optimises key performance indicators across … systems, and big data technologies. Additional Information Sourcing, cleaning, and validating diverse datasets from various internal and external sources. Conducting in-depth exploratory data analysis to uncover hidden patterns, identify trends, and generate actionable insights that inform strategic business decisions. Developing and deploying robust statistical and machine learning ...

process more than 1.5 million bets per hour at peak. Job Description As a Data Scientist, you will develop machine learning solutions and perform statistical analysis to inform strategic, data-driven business decisions and initiatives. Our Data Analytics team monitors, analyses, and optimises key performance indicators across … systems, and big data technologies. Additional Information Sourcing, cleaning, and validating diverse datasets from various internal and external sources. Conducting in-depth exploratory data analysis to uncover hidden patterns, identify trends, and generate actionable insights that inform strategic business decisions. Developing and deploying robust statistical and machine learning ...

accurate, reliable and ready for analysis. Exploring data to identify patterns, trends, outliers and opportunities that can support stronger commercial and operational decisions. Applying statistical and machine learning techniques to build predictive and prescriptive models, test hypotheses and solve real business problems. Using Python, PySpark and SQL to analyse … understand business needs and translate them into data‐led solutions. Presenting actionable insights and recommendations to technical and non‐technical stakeholders, helping teams turn analysis into commercial value. Exploring cutting‐edge AI methodologies responsibly and identifying opportunities to improve processes, products and decision‐making. Contributing to timely project delivery ...

aligned with Army training objectives. Design and deliver clear, meaningful visualisations and reports that support operational decision-making. Explore and analyse through use of statistical tools and techniques data to identify patterns, relationships and trends to inform further development. Collaborate with data architects and engineers to ensure analytical outputs … data architectures by contributing analytical requirements and feedback. Communicate analytical findings clearly to non-technical stakeholders to inform strategy and operational improvements. Conduct exploratory analysis and limited prototyping to evaluate emerging data techniques relevant to training analytics. Ensure analytics processes comply with security, governance, and regulatory requirements. Author ...

scientists supporting the industrialisation of Li-ion batteries and cells. Reporting to the Head of Product Engineering this position will support the capture and analysis of data generated from the production and test of UKBIC baseline and customer products. The purpose of this role is to deliver data insights … analytical workflows. The successful candidate will help shape the evolution of Insights Hub from foundational time-series data visualisation and reporting through to advanced statistical analysis, modelling, machine learning and predictive analytics capabilities. The analytics capability is expected to evolve in stages, beginning with establishing access to manufacturing ...

secondment must be obtained from your current line manager prior to submitting an application. Job overview PenGU Bioinformatics is the software development and analysis support arm of the Microbiology Division. It supports genomic diagnostics, bespoke software development, genomic surveillance of communicable disease and infections in Wales, and provides … equivalent experience Post graduate qualification in public health, epidemiology, bioinformatics statistics or related subject or equivalent experience Post graduate experience of scientific or information analysis work Experience of working with large or complex data sets Experience of project based working Experience of producing written reports for publication and working ...

Extracts knowledge and insights from high volume, high dimensional data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, which may include statistical analysis, predictive modeling and pattern recognition. Role The Role: Support the delivery … data analysis, reporting and business insight activities across the Insights & Workflow team, ensuring outputs are accurate, timely and aligned to business requirements. Work with large datasets to extract, clean, transform and validate information for use in operational reporting, workflow management and decision-making. Assist with the creation, maintenance ...

quite flexible as a team and meet in person as needed for meetings and team collaboration. We are passionate about delivering high-quality analysis and insight, using data and evidence to support decision-making, reduce health inequalities and improve the health and wellbeing of Surrey's residents. Our Offer … order to be considered for shortlisting, your application will clearly evidence the following skills, experience and align with our behaviours: Experience of using statistical and epidemiological methods for analysing data sets Experience of working with multiple sets of health-related data Experience of using analytics as evidence within assessments ...

involved in the following: Analyse end-to-end customer and user journeys to identify adoption trends, engagement drivers, and opportunities for growth. Conduct exploratory analysis to uncover product usage patterns, conversion drop-offs, and areas for optimisation. Build predictive models focused on areas such as customer churn, engagement scoring … Advanced Analytics environments. Advanced SQL skills with experience querying complex cloud-based data warehouses, ideally including Snowflake. Expertise in Python or R for statistical analysis, machine learning, and predictive modelling. Experience analysing customer journeys, retention, lifecycle metrics, and behavioural data. Ability to communicate technical findings clearly to both ...

quality standards, governance practices, and reporting best practices. Partner with leadership teams to define key performance indicators (KPIs) and operational metrics. Support root cause analysis activities by combining telemetry, operational, and business data sources. Contribute to continuous improvement initiatives by identifying automation opportunities and reducing manual reporting processes. Document … Data Lake, or related cloud data technologies. Experience creating executive dashboards and operational reporting solutions. Knowledge of machine learning, anomaly detection, predictive analytics, or statistical analysis techniques. Experience working with large-scale telemetry, operational, or IoT datasets. Familiarity with DevOps practices, CI/CD pipelines, and GitHub Actions. ...

quality standards, governance practices, and reporting best practices. Partner with leadership teams to define key performance indicators (KPIs) and operational metrics. Support root cause analysis activities by combining telemetry, operational, and business data sources. Contribute to continuous improvement initiatives by identifying automation opportunities and reducing manual reporting processes. Document … Data Lake, or related cloud data technologies. Experience creating executive dashboards and operational reporting solutions. Knowledge of machine learning, anomaly detection, predictive analytics, or statistical analysis techniques. Experience working with large-scale telemetry, operational, or IoT datasets. Familiarity with DevOps practices, CI/CD pipelines, and GitHub Actions. ...