126 to 150 of 283 Statistical Analysis Jobs in England

frameworks such as PyTorch, TensorFlow, and scikit-learn.Strong understanding of data preprocessing, feature engineering, and evaluation techniques.Experience working with large, complex datasets and applying statistical analysis.Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).Experience managing data science teams and coaching team members.Problem-solving skills ...

internal and external consumers Work with large-scale rail inspection datasets including ultrasonic, electromagnetic, and operational data Implement and deploy machine learning models and statistical analyses in production environments Architect and manage AWS cloud infrastructure for data workloads (S3, Lambda, Glue, Athena, SageMaker, Step Functions) Collaborate with domain experts ...

PyTorch, TensorFlow, and scikit-learn. Strong understanding of data preprocessing, feature engineering, and evaluation techniques. Experience working with large, complex datasets and applying statistical analysis. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Experience managing data science teams and coaching team members. Problem-solving ...

PyTorch, TensorFlow, and scikit-learn. Strong understanding of data preprocessing, feature engineering, and evaluation techniques. Experience working with large, complex datasets and applying statistical analysis. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Experience managing data science teams and coaching team members. Problem-solving ...

direct and measurable impact. The Role Own product analytics across key customer acquisition, conversion, activation, and retention journeys Identify opportunities for growth through proactive analysis and actionable recommendations Partner with Product, Commercial, and Leadership teams to influence strategic decisions Define analytics requirements, tracking plans, success metrics, and guardrail metrics … product analytics within a subscription, marketplace, SaaS, platform, or digital product environment Advanced SQL skills with the ability to deliver end-to-end analysis independently Experience working with product analytics and event tracking tools such as Amplitude, Mixpanel, Segment, or similar Strong knowledge of experimentation methodologies, including A/ ...

Military, defence, or armed forces backgrounds Test engineering, validation, or product testing Quality assurance or compliance testing Working with regulatory or certification bodies Data analysis, test methodologies, or statistical analysis Knowledge of munitions, weapons, explosives, or threat detection technologies would be advantageous, although full training will ...

technical role that partners closely with Sales, Solutions Engineering, Product, and Engineering teams. You will serve as the trusted expert on experimentation methodology, statistical rigor, and experimentation infrastructure, helping customers solve complex challenges while influencing the future direction of the Amplitude and Statsig platforms.As an Customer Data Scientist … customer evaluations, guiding technical discussions from discovery through proof of concept.Partner directly with data scientists, engineers, and technical leaders to advise on experiment design, statistical methodology, measurement frameworks, and experimentation architecture.Help customers build scalable and trustworthy experimentation programs by educating teams on best practices in experimentation, metric development, variance ...

workflow across asset classes. Extending existing test suites, including unit, regression, and integration tests. Performance and memory profiling. Assisting in the execution of impact analysis testing runs. Identifying and developing calculation optimization improvementsWorking on documentation. Working with Front Office teams to integrate quant library/technology enhancements into … derivatives. Experience working on Regulatory based projects such as Model Risk, Basel, Stress Testing, FRTB, CCAR is an advantage. Solid mathematical finance and statistical analysis skills. Familiarity with Numerical analysis/Monte-Carlo methods. Knowledge of probability and stochastic calculus. What we'll provide you27 days annual ...

level of experience in Health Informatics, Public Health, Data Science, Statistics, Operational Research, Epidemiology, Health Economics, Business Intelligence or related discipline Advanced training in statistical analysis, business intelligence or data visualisation. Experience Essential Extensive experience in collecting, analysing, interpreting and presenting data to different audiences Experience of building … user-friendly narrative for complex to highly complex data analysis Experience of evaluating national guidance and ability to transfer this to technical deliverables for the team and protocols for non-specialist staff Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order ...

ANALYST Design, lead and deliver quantitative research projects addressing strategic and operational business challenges. Develop robust research methodologies, including survey design, sampling strategies and statistical analysis plans. Analyse complex datasets to identify trends, risks, opportunities and emerging issues. Conduct descriptive, statistical and time series analysis. Extract, manipulate … Experience independently conducting research and analytical projects, applying independent judgement to complex business questions. Advanced expertise in quantitative research methods, including cross-sectional surveys, statistical testing and time series analysis. Strong experience extracting, transforming and analysing data from databases and structured repositories. Demonstrable ability to assess data quality, reliability ...

resolve technical issues. Verify compliance with customer, industry, and regulatory requirements. Support product qualification, verification, and certification activities. Assist with Failure Mode and Effects Analysis (FMEA) and risk assessments. Develop and improve test methods to increase efficiency, accuracy, and repeatability. Ensure testing activities comply with company quality management systems … . Experience in engineering testing, validation, verification, or quality assurance. Ability to interpret engineering drawings, specifications, and standards. Strong problem-solving and root cause analysis skills. Experience with data acquisition and analysis tools. Excellent technical report writing and communication skills. Desirable Experience in aerospace, automotive, defence, manufacturing ...

imaging data and collaborate with pathologists and translational teams to interpret image-derived biomarkers and biological findings.Contribute to evaluation, validation, and benchmarking of image analysis algorithms and workflows.Perform tissue segmentation, cell phenotyping, feature extraction, and spatial analysis using state-of-the-art computational approaches.Stay current with advances … Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Stakeholder Engagement, Statistical Analysis, Time Series AnalysisSummaryLocation: Cambridge (USA)Type: Full time ...

also be experienced in communicating with technical and non-technical colleagues and be able to cater analytical products to a wide range of audiences. Statistical analysis skills or openness to learn is also desirable. Whilst the post holder will work closely with the Business Intelligence Partners they should … Essential Educated to degree level or equivalent Holds a relevant Masters' degree level qualification or equivalent experience. Experience Essential Significant experience in an information analysis role Experience of working with relational databases Experience of using query tool functionality Desirable Experience in an NHS informatics role or other healthcare information ...

innovation testbeds. You will work as part of multidisciplinary teams under the guidance of more senior data science colleagues and contribute to technical analysis and solution design while continuously learning and upskilling on the job, including developing your domain expertise, commercial awareness, and stakeholder management skills. Requirements Proven experience … etc. Ability to conceptualise data architecture and design around requirements of multiple stakeholders. Experience in backend or frontend development frameworks . Ability to apply statistical analysis, machine learning, AI, and data visualisation techniques to solve real-world problems and generate actionable insights. Experience creating and maintaining digital infrastructure ...

innovation testbeds. You will work as part of multidisciplinary teams under the guidance of more senior data science colleagues and contribute to technical analysis and solution design while continuously learning and upskilling on the job, including developing your domain expertise, commercial awareness, and stakeholder management skills. Requirements Proven experience … etc. Ability to conceptualise data architecture and design around requirements of multiple stakeholders. Experience in backend or frontend development frameworks . Ability to apply statistical analysis, machine learning, AI, and data visualisation techniques to solve real-world problems and generate actionable insights. Experience creating and maintaining digital infrastructure ...

drug discovery, chemistry, biomedical research, clinical evidence, safety, and competitive intelligence.The team applies a broad range of data science methods, including traditional machine learning, statistical modelling, natural language processing, neural networks, information retrieval, knowledge graphs, semantic enrichment, and generative AI. These capabilities support products such as PharmaPendium, Reaxys, Embase … science, experimentation, model evaluation, data quality, and production collaboration.Data science deliveryLead the application of data science methods across a broad portfolio, including machine learning, statistical modelling, NLP, neural networks, search, recommendation, knowledge graphs, and generative AI.Oversee the development and improvement of models and pipelines for tasks such as classification ...

data driven stakeholder value for UKLB and our clients.Establish and lead a mature Predictive Analytics function by upskilling individuals, championing innovative approaches to data analysis and interpretation, and driving the adoption of advanced modelling techniques to enhance decision-making and business outcomes.Provision of advanced pensioner demographics and mortality basis … solutions to reduce friction. Conceptualise and offer analytics products and services to internal and external stakeholders along the whole value chain by using statistical methods, for example, GLMs/GAMs/Machine Learning.Lead the creation and adoption of innovative analytical techniques, building tools and embedding them to strengthen data ...

drive refund volumes. On this fixed-term contract, the successful candidate will consolidate disparate data sources, bridge existing tracking gaps, and apply advanced statistical analysis and machine learning models to identify key drivers to establish root cause causation and deliver corrective actions. Insights will directly inform strategic decision … data manipulation tools. Explore available data leveraging Python expertise to answer complex business questions Define sensible business metrics for complex business problems. Apply sophisticated statistical techniques, and advise as to scientific best practice. Perform detailed data visualisations Produce reports and presentations for stakeholder and use data to influence decisions ...

discovery, chemistry, biomedical research, clinical evidence, safety, and competitive intelligence. The team applies a broad range of data science methods, including traditional machine learning, statistical modelling, natural language processing, neural networks, information retrieval, knowledge graphs, semantic enrichment, and generative AI. These capabilities support products such as PharmaPendium, Reaxys, Embase … experimentation, model evaluation, data quality, and production collaboration. Data science deliveryLead the application of data science methods across a broad portfolio, including machine learning, statistical modelling, NLP, neural networks, search, recommendation, knowledge graphs, and generative AI.Oversee the development and improvement of models and pipelines for tasks such as classification ...

product specifications and quality standardsOwn finalization of datasheet specifications and ATE production test limits through data-driven, statistically validated limit-setting processes3. Characterization, Data Analysis & Yield Optimization 30%Develop and own product characterization plans for wafer-level and bench tests across product specifications and operating conditionsLead data analysis … variations, including ATE-to-bench correlation studies and process capability analysisDrive yield modeling activities and lead DOE planning and execution to support yield analysis, test time reduction, and test optimizationLead product validation and reliability qualification activities in collaboration with Test, Characterization, Validation, and Reliability Engineering teamsIdentify yield loss Pareto ...

modelling, experimentation, and deployment. · Data Science & Advanced Analytics. Design and implement predictive and prescriptive models for airline operations. Apply machine learning, optimization techniques, and statistical analysis to large, complex datasets · Translate business problems into analytical frameworks and actionable solutions to improve decision making · Stakeholder engagement. Manage project prioritization ...

modelling, experimentation, and deployment. · Data Science & Advanced Analytics. Design and implement predictive and prescriptive models for airline operations. Apply machine learning, optimization techniques, and statistical analysis to large, complex datasets · Translate business problems into analytical frameworks and actionable solutions to improve decision making · Stakeholder engagement. Manage project prioritization ...

modelling, experimentation, and deployment.· Data Science & Advanced Analytics. Design and implement predictive and prescriptive models for airline operations. Apply machine learning, optimization techniques, and statistical analysis to large, complex datasets· Translate business problems into analytical frameworks and actionable solutions to improve decision making· Stakeholder engagement. Manage project prioritization ...

within the marketing or advertising industry.Strong proficiency in programming languages such as Python or R, and experience with SQL.Familiarity with machine learning techniques and statistical analysis.Exceptional problem-solving skills and a keen eye for detail.Excellent communication skills, with the ability to present complex data in an understandable way.A collaborative ...

marketing or advertising industry. Strong proficiency in programming languages such as Python or R, and experience with SQL.Familiarity with machine learning techniques and statistical analysis. Exceptional problem-solving skills and a keen eye for detail. Excellent communication skills, with the ability to present complex data in an understandable way. ...