26 to 50 of 171 Statistical Analysis Jobs in England

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 ...

communicate progress and deliver results. Sharp analytical skills — you love digging into data, solving problems, and turning insights into action. You’re skilled in statistical analysis, regression, correlation analysis, and exploratory data analysis (EDA) Exceptional communication and stakeholder management skills — you can influence at all levels ...

understand their requirements and translate them into practical analytical solutions. Analyse large and complex datasets to identify trends, patterns, opportunities and issues. Use statistical and mathematical techniques to investigate business problems and support decision-making. Develop predictive models, algorithms and machine learning solutions where appropriate. Use R for statistical analysis, modelling and data science. Use Python to develop scripts, automate processes and deploy analytical solutions. Challenge assumptions and investigate the underlying drivers behind business performance. Reporting & Visualisation Develop and maintain Tableau dashboards and reporting for teams across the business. Improve existing reports and identify opportunities to make ...

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 ...

Senior Business Intelligence Analyst with strong analytical and technical skills to help improve our digital, marketing, engagement and fundraising activity. Youll use advanced analysis, predictive techniques and data visualisation to uncover audience insight, optimise content and channels, and turn complex data into clear, practical recommendations. Working closely with colleagues … projects, develop reports and dashboards, and help build confidence in data-led decision-making across the organisation. What youll be doing Conducting in-depth analysis to understand audience behaviour, campaign, channel and content performance, and engagement trends Applying advanced analytical techniques, including propensity modelling, predictive analytics and segmentation ...

make smarter investment and asset management decisions. The primary focus of this role will be in applying machine learning and predictive analytics techniques, doing statistical analysis, and building high-quality prediction systems integrated with our business model. This role will support and challenge the investment and asset management … predictive analytics model to make meaningful information valuable to UK investment process and challenge the UK investment team’s thesis with data backed analysis Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis ...

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 ...

clients including data dashboards (Excel or other data visualisation tools), web hosted solutions, Word reports, and PowerPoint presentations Explain complex technical concepts underpinning your analysis in simple terms to clients to help them understand how their business needs are being addressed Identify risk on the assignment, involving Director/… Partner appropriately in its resolution Analytics & AI Solutions Design and build complex database models and insightful visualisation dashboards to perform analysis on large diverse datasets Leading a team in designing analytical solutions (data pipelines, visualisations, machine learning models), undertaking proof-of-concepts, and implementing these solutions to help clients ...

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 ...

models and delivering value to ourMembersthrough innovative sourcing and data-driven solutions. The Data Scientist will be instrumental in advancingClarusONE’sanalytics capabilities by applying statistical modelling, machine learning, and predictive analytics to complex business problems. This role will drive the development of scalable data science solutions that inform strategic … embed advanced analytics into technology platforms and decision-making processes, supporting the long-term vision and goals of the business. Responsibilities Develop and deploy statistical models, machine learning algorithms, and forecasting tools to support strategic sourcing, supplier risk assessment, and market dynamics. Lead exploratory data analysis and hypothesis ...

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 ...

passion for solving complex problems, and a deep understanding of financial and client behavioural data. You will be responsible for delivering high-impact data analysis, automating reporting processes, and implementing scalable solutions that support strategic decision-making across financial advisory services that support their UK and European businesses. This … hybrid basis from the client's London office. Key Responsibilities Executive level story telling & reporting to influence strategic decisions. Perform advanced data analysis to uncover insights across financial, sales, and client behavioral datasets. Design and implement scalable data solutions and automated reporting workflows. Develop models and dashboards that track ...

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 ...

applications leveraging LLMs, retrieval systems and agentic workflows. Evaluate emerging AI technologies and recommend practical applications across the organisation. Data Science & Analytics Perform advanced statistical analysis and modelling across large‐scale operational and engineering datasets. Develop feature engineering, experimentation and model evaluation frameworks. Create insights and recommendations that … making. WHAT YOU'LL BRING Essential Experience Demonstrable experience delivering machine learning or AI solutions within a large‐scale enterprise environment. Strong experience applying statistical modelling, predictive analytics and experimentation techniques. Experience working with structured and unstructured data at scale. Proven ability to translate business problems into measurable analytical ...

processing and analytical pipelines for mass spectrometry imaging applications. Working with large-scale hyperspectral datasets, you will innovate and apply advanced computational approaches, including statistical modelling and machine learning, to extract meaningful information related to complex biological systems and deliver robust, reproducible scientific insights. As part of a multidisciplinary … technical support for any bids, we may be undertaking About You You are an enthusiastic and innovative scientist with a strong background in the analysis of complex biological datasets and a passion for applying computational methods to challenging scientific problems. You will hold a PhD and possess strong coding ...

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 ...

with large datasets and data processing technologies (e.g., Hadoop, Spark, SQL) Familiarity with anomaly detection, supervised and unsupervised learning methods, and real-time data analysis Experience with statistical analysis and good presentation skills to drive insight into action; A strong product mindset with the ability to work ...

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 ...

This is an ideal role for someone early in their career who is eager to develop their skills in infectious disease genomics, microbial sequence analysis and reproducible computational biology, while seeing their work contribute to products with real-world clinical impact. The role will involve working with a range … metagenomic data. You will work closely with wet lab scientists to apply analytical approaches such as microbial profiling, taxonomic classification, and antimicrobial resistance analysis to experimental data and interpret the results. We are particularly interested in candidates who have practical exposure to metagenomic methods and are keen to deepen ...