76 to 100 of 171 Statistical Analysis Jobs in England

Hugging Face, LangChain, LangGraph, Haystack) Experience working with Databricks or similar distributed data and machine learning platforms Understanding of experimentation methodologies, evaluation frameworks, and statistical analysis Proficiency with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn) Demonstrated ability to independently execute technical projects and contribute ...

computational biomedical sciences. The role involves developing and applying advanced artificial intelligence methods to digital pathology data, including whole-slide imaging, computational image analysis, and multi-modal clinical data integration. The research aims to improve disease diagnosis, prognostic modelling, and precision medicine approaches. The postholder will work closely with … funding applications Required Expertise/Skills Expertise in machine learning and artificial intelligence methodologies Strong background in digital pathology, medical imaging, or computational image analysis Proficiency in programming languages such as Python, R, or equivalent scientific computing tools Experience with deep learning frameworks and large-scale data analysis ...

experience with OOP principles; Knowledge and experience developing and evaluating GenAI/LLM solutions, including automated eval harnesses and prompt engineering; Experience with statistical analysis, experiment design, and failure mode analysis in LLM systems; A strong product mindset with the ability to work independently in a cross ...

activities. These span a wide range of areas including electronic lab notebook templatization and integrations, data capture and storage, results processing, dashboarding, and statistical analysis activities. They will also share responsibility with the wider Data Science team for providing technical support to scientists across these areas. Job Description … data accessibility across the R&D organisation. Perform data mining, data exploration and feature generation to bring proof of concept AI/ML/statistical/mechanistic/hybrid modelling in collaboration with data scientists and bench scientists. Serve as part of the technical support team for software utilised ...

work confidently with large, complex datasets. Experience with modern cloud data platforms such as BigQuery, Snowflake, Redshift, or similar. Strong understanding of experimentation, statistical analysis, performance measurement, and KPI development. Experience with data visualisation tools such as Tableau, Looker, or Power BI. Ability to communicate complex analytical findings … senior and executive stakeholders. Commercial mindset with a track record of using data to influence business outcomes. Python experience for analysis or automation would be advantageous. ...

operate with high autonomy and influence decision-making across cross-functional teams. Key responsibilities Search Evaluation & Analytics Perform a leading role in analysis of search and retrieval system performance, including ranking quality and relevance. Help define and standardize search evaluation metrics (e.g., NDCG, MAP, recall, precision, CTR). Analyze … testing and experimentation frameworks for search and ranking improvements. Partner with product and data science to define success metrics and experiment strategies. Ensure statistical rigor in experiment design, analysis, and interpretation. Build reusable experimentation templates and scalable analysis workflows. Data Visualization & Communication Own and evolve dashboards ...

tech industries (3-4 years). Good analytical & problem-solving skills and excellent attention to detail. Understanding and experience of data science techniques covering statistical analysis, A/B testing, time-series, regression, classification and optimisation problems. Proficient in SQL & Python. Familiarity with data manipulation libraries (e.g. PySpark ...

East’s emerging semiconductor cluster. They are now searching for a Manufacturing Engineer to provide manufacturing/industrial engineering expertise, using capacity modelling, data analysis and continuous improvement techniques to optimiseWIP flow, cycle time, equipment utilisation, throughput and delivery performance. Key Responsibilities Maintain and improve the fab capacity model … business demand Work with Engineering, Operations, Automation and Tool Owners to assess the impact of process and equipment changes Conduct time studies and data analysis to evaluate process and throughput improvements Support the introduction of new processes, methods and production flows Estimate manufacturing costs, establish time standards and recommend ...

grade AI/ML applications and tools are built, maintained, and optimized Establish best practices for monitoring, evaluating, and improving solution performance Guide the analysis of large and complex datasets to identify trends and opportunities for automation Engage with subject matter experts and senior stakeholders to gather requirements …/ML, including leading teams and projects from conception to production Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model development Experience working with large, complex datasets and applying statistical analysis Hands‐on experience training, deploying, and maintaining machine ...

range of data and analytics projects, including: Building and maintaining dashboards and regular business reporting Using SQL to query and analyse large datasets Presenting analysis in a clear and accessible way to both technical and non-technical audiences Analysing customer behaviour across the company's digital products Measuring … unusual behaviour and opportunities within the data Helping establish consistent KPIs and reporting across the organisation Supporting product and commercial teams with ad-hoc analysis Developing your knowledge of web analytics and Google Analytics Over time, exploring more sophisticated statistical modelling and other ways of extracting value from ...

resolution quality, customer effort, process adherence, consistency, fairness, durability of resolution and cost effectiveness. Identify the root causes of issues by combining machine learning, statistical methods and domain expertise from colleagues to understand what genuinely drives customer outcomes. Identify and test solutions Turn analytical insight into concrete proposals … help the team prioritise where to invest. Design and analyse experiments to determine whether proposed changes genuinely improve customer and business outcomes. Use statistical modelling and causal inference where controlled experiments are not practical. Shape the automation strategy Determine the right intervention for different customer problems whether they should ...

related technologies Analyze logs, traces, telemetry, and hardware data to isolate and characterize system failures and performance issues Develop structured debug methodologies and failure analysis processes to improve issue resolution efficiency Collaborate closely with architecture, RTL, firmware, software, and systems engineering teams to determine root causes and implement corrective … languages such as CMM Strong Linux and Python experience Deep knowledge of scan, DFT, JTAG, and trace infrastructure Strong debug skills including fault tree analysis, failure isolation, fishbone methodologies, and system‐level debug techniques Outstanding communication skills and ability to collaborate effectively to solve complex problems Excellent problem‐solving ...

policy and guidelines.Ability to plan the delivery of a technology-based service at operational and strategic levels.Desirable CriteriaTechnical experience with enterprise data warehouse solutions, statistical analysis tools, database systems, and data visualisation applications, such as Microsoft Fabric or equivalent.How to applyTo progress to the assessment stage, candidates must … issues, shape platform processes and user engagement activities, develop and optimise system configurations, and provide subject matter expertise and advice.Provide specialist advice on the analysis and interpretation of complex data and information relevant to your area, and making recommendations for service improvements based on your analysis.Use your professional knowledge ...

opportunity to join our team at Smartodds as a Execution Research Quantitative Analyst. Based in North London, Smartodds provides in-depth research and analysis on sporting events around the world, supported by world-class, bespoke software platforms. We are proud of our collaborative and dynamic culture, grounded … understand the information provided from clients through their actions, the role might also include analysing betting patterns and market behaviour. This role combines rigorous statistical and mathematical modelling with production engineering. You will take models from research through to deployment, writing well-tested, documented code that integrates into ...

agents to production: evaluation and guardrails, cost control, or making them available in Slack, Teams or similar tools. Applied data science (exploratory or statistical analysis), and dashboarding tools such as Looker or Power BI. Marketing platforms and an understanding of marketing data. About the company Part ...

looking for a passionate Analytics Engineer to join our Actuarial and Underwriting Analytics team. This team leverages technical expertise in actuarial modelling, statistical analysis, and risk management solutions to support a high-impact team of 90+ underwriters. The Actuarial team works seamlessly with Underwriting to help the company ...

baseline stability for deposition and etch modules, specializing in precision III-V semiconductor materials. Tool & Recipe Development: Direct recipe development, optimization, and failure analysis utilizing RIE, ICP-RIE, PECVD, ALD, SEM, and FIB-SEM platforms. New Equipment & Technology Integration: Lead the qualification, installation, and baselining of new capital equipment … control and Out-of-Control Action Plans (OCAPs). Data-Driven Engineering: Drive empirical decision-making across the team using Design of Experiments (DoE), Statistical Process Control (SPC), Gauge R&R, and advanced statistical analysis (e.g., Minitab). Structured Problem Solving: Facilitate rapid root cause analysis ...

Science, Computer Science, Artificial Intelligence, or a related field (or equivalent experience) Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model development Experience working with large, complex datasets and applying statistical analysis Hands‐on experience training, deploying, and maintaining ...

organisations decide where data and AI can genuinely improve services, then design, build and evaluate solutions that work in practice. Our work can include statistical analysis, machine learning, natural language processing, generative AI and agentic systems. Senior Data Scientists combine hands‐on technical delivery with the judgement needed … data science or AI could help; analyse complex or imperfect data and communicate what it can and cannot tell us; prototype, build and evaluate statistical, machine‐learning or AI systems; design and evaluate systems using large language models, retrieval, tools or agentic workflows; establish appropriate boundaries between model‐driven ...

organisations decide where data and AI can genuinely improve services, then design, build and evaluate solutions that work in practice. Our work can include statistical analysis, machine learning, natural language processing, generative AI and agentic systems. Senior Data Scientists combine hands‐on technical delivery with the judgement needed … data science or AI could help; analyse complex or imperfect data and communicate what it can and cannot tell us; prototype, build and evaluate statistical, machine‐learning or AI systems; design and evaluate systems using large language models, retrieval, tools or agentic workflows; establish appropriate boundaries between model‐driven ...

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 ...

role in making Hippo the best Consultancy out there. You will work as part of a multi-disciplinary team combining data, design, product, delivery, analysis, and engineering to deliver bespoke digital services that make a positive and meaningful impact on organisations and society. We're confident in our abilities … MLflow, AWS Sagemaker, and Azure Machine Learning. Proven track record of delivering high-quality, scalable data science solutions. Expertise in Data Manipulation, ML, and Statistical Analysis coding packages. Strong experience in testing data models and Machine Learning Models. Deep understanding of product delivery from requirements to desirable business ...

evaluation plans. Explore, prepare, and validate structured and unstructured data, establishing appropriate quality checks, feature definitions, lineage, and documented limitations. Design, develop, and validate statistical and machine learning solutions for tasks such as classification, regression, clustering, forecasting, segmentation, and optimization. Design experiments and apply statistical analysis, including ...

analyse and interpret complex data sets, providing actionable insights to support decision making. You will work closely with stakeholders to design data models, run statistical analyses, and present clear findings. The role requires strong SQL, Snowflake experience and a passion for data governance and reporting. The successful candidate will ...

translate ambiguity into actionable insight. Experience mentoring data professionals and helping establish analytical standards. Nice to Have Python experience. Experience with experimentation and statistical analysis. Exposure to CRM, revenue, or customer success platforms. Interest in AI-enabled analytics and modern data products. Why Apply? Join a highly respected data ...