51 to 75 of 97 Statistical Analysis Jobs in the UK excluding London

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 ...

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 ...

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 ...

other teams across the business. Our Data Scientists are embedded within product and business areas across Monzo, where they use experimentation, causal inference, statistical modelling, machine learning and analytics to understand our customers, identify opportunities and influence the direction of our products and strategy. As a Data Science Manager … help teams turn them into clear, actionable opportunities. Ensure teams are using the right analytical approaches, from experimentation and causal inference through to statistical modelling and machine learning. Help connect Data Science work to measurable customer, product and commercial outcomes. Work with Analytics Engineering, Machine Learning and other Data ...

with a fantastic team of technology experts. Your primary focus will be designing, architecting, and deploying robust AI solutions and pipelines that enable advanced analysis and Generative AI capabilities, often in highly regulated environments. Either drawing on existing expertise, or with some development, you will be capable of advancing … frameworks for model serving (e.g. Flask or FastAPI). Data Science: Familiarity or experience with classical NLP techniques (BERT, topic modelling, summarisation), statistical analysis, and knowledge graphs. Deep Learning: Familiarity or experience with Deep Learning (TensorFlow, PyTorch). Benefits Package and Benefits: Competitive Salary Bonus Scheme Private Healthcare ...

Develop multidimensional cubes and tabular models. Fully document all reports and systems developed. Person specification Qualifications & Education Graduate level qualification in information management/statistical analysis or proven experience through practice with detailed evidence of working at this level Knowledge & Experience Working experience of the Microsoft ETL Stack ...

sensor technology, optical system specification, characterization methodology and electro-optical performance assessment. A vital part of this function is to provide robust characterization data, analysis and technical insight to support technology development, product definition and key business decisions. YOUR ROLE The Direct Responsible Individual Characterization Engineer … clear recommendations based on experimental evidence. In addition to project leadership responsibilities, you will contribute technical expertise in optical and electro-optical characterization, data analysis and interpretation, supporting the continuous improvement of characterization methodologies, laboratory capabilities and measurement infrastructure. KEY RESPONSIBILITIES Act as the Direct Responsible Individual ...

other teams across the business. Our Data Scientists are embedded within product and business areas across Monzo, where they use experimentation, causal inference, statistical modelling, machine learning and analytics to understand our customers, identify opportunities and influence the direction of our products and strategy. As a Data Science Manager … help teams turn them into clear, actionable opportunities. Ensure teams are using the right analytical approaches, from experimentation and causal inference through to statistical modelling and machine learning. Help connect Data Science work to measurable customer, product and commercial outcomes. Work with Analytics Engineering, Machine Learning and other data ...

banking, payments, e-commerce, or a similar fraud-focused environment. Strong Python and SQL skills are essential. Experience developing fraud models or applying advanced statistical analysis to fraud prevention challenges. Understanding of fraud detection, fraud scoring, identity verification, or fraud strategy frameworks. Ability to measure, communicate, and demonstrate ...

learning models and data pipelines. Experimenting with innovative approaches to translate complex business challenges into actionable data science solutions. Evaluating model performance through rigorous statistical analysis and assessing business impact. Collaborating closely with Machine Learning Engineers and Software Engineers to ensure seamless integration and adherence to best coding ...

provide clear, actionable value to stakeholders. What we’d like you to bring: A strong foundation in data science , including machine learning techniques, statistical analysis, feature engineering and model evaluation, with hands‐on experience building and deploying models. Proficiency in Python, SQL and data manipulation , alongside a solid ...

provide clear, actionable value to stakeholders.**What we’d like you to bring:**- **A strong foundation in data science**, including machine learning techniques, statistical analysis, feature engineering and model evaluation, with hands-on experience building and deploying models.- **Proficiency in Python, SQL and data manipulation**, alongside a solid ...

multidimensional cubes and tabular models. Fully document all reports and systems developed. Person Specification Qualifications & Education Essential oGraduate level qualification in information management/statistical analysis or proven experience through practice with detailed evidence of working at this level Knowledge & Experience Essential oWorking experience of the Microsoft ...

looking for a Principal Staff Scientist (computational) to provide analytical leadership in Artificial Intelligence/Machine Learning (AI/ML) and genomic data analysis across the Human Genetics Programme. About the Programme: The Human Genetics Programme brings together large-scale human cohorts, deep molecular profiling and linked patient records … populations and healthcare settings. AI and ML methods are well placed to address these challenges. The Programme already has considerable analytical and statistical strength across its groups, including colleagues extending their work into AI/ML. We are now looking for a Principal Staff Scientist to lead and coordinate ...

Electrical & Electronic Engineering , or equivalent. Great if you also have Experience with data pipelines, databases, AI/machine learning, AWS, Azure, Grafana, Node-RED, statistical analysis, Digital Twins or Lean Six Sigma would be an advantage. Why Thales? This is an opportunity to combine IoT, software and advanced ...

methodologies and diagnostic techniques for next-generation memory systems. This role focuses on understanding DRAM behavior across logical, architectural, and physical domains, using simulation, statistical analysis, and mathematical modeling to investigate failure mechanisms, characterize performance margins, define test techniques and improve reliability and yield. The successful candidate will …/columns, wires, timing paths). Analyze DRAM behavior with a deep understanding of circuit operation, including variability, noise, leakage, and process effects. Apply statistical methods to large test datasets to identify trends, characterize distributions, isolate root causes, and support yield and reliability conclusions. Use mathematical models to describe ...

robust performance measurement. Your Skills & Experience Strong experience leading analytics, data or insight functions. Advanced SQL and cloud data platform experience. Expertise in experimentation, statistical analysis and performance measurement. Ability to influence senior stakeholders and translate analytics into commercial outcomes. Experience with tools such as BigQuery, dbt, Airflow ...

ensure scalability for high-volume manufacturing Support the transfer of new processes and products into production Apply Six Sigma methodologies (e.g., FMEA, capability analysis, design for manufacturability/yield) for process and product improvement Present process data and statistical analyses to support manufacturability decisions … direct bandgap semiconductor materials Experience in a semiconductor manufacturing or wafer fab environment Key Competencies Strong analytical and scientific reasoning skills Familiarity with statistical analysis tools (e.g., JMP) Effective team collaboration and organizational abilities Technical leadership and ownership mindset Excellent written and verbal communication skills Why Join ...

multiplication, KV-caching, etc.) Proficiency with profiling tools (NVIDIA Nsight, PyTorch Profiler) and monitoring stacks (Prometheus, Grafana) Capability to work in Python for data analysis (Pandas, NumPy) and scripting The following are also highly valued: Post-graduate degrees and research experience in relevant fields (please list your publications). … Deep understanding of inference serving frameworks (e.g. vLLM) Background in statistical analysis Contributions to open source and/or research projects Benefits A collaborative and supportive work environment The opportunity to have a high impact in a growing organisation Competitive salary package and pension Professional development opportunities Networking ...

Data Scientist turns complex and often loosely defined business questions into clear, actionable insight. The role leads high-value analytical work using Python, SQL, statistical methods and appropriate machine-learning techniques to explain what is happening, understand why it is happening and assess what may happen next. The jobholder … combines analytical rigour with commercial judgement, stakeholder engagement and strong written communication, ensuring that analysis results in practical business decisions. The kind of person we are looking for Curious, commercially minded and highly analytical. The successful person will be equally comfortable working in Python, SQL and statistical models ...

technical leader for product-level characterisation activities: owning the product characterisation strategy, translating product requirements and technical risks into proportionate test coverage, analysis and reporting. Working with colleagues from the adjacent Device and IC Validation teams, you will lead the development, execution and optimisation of wafer-level Characterisation test … candidates who can demonstrate experience of working successfully in cross-functional environments. We are looking for candidates with deep RF expertise and strong data analysis skills using large datasets, as well as experience of wafer-level test. This is a fantastic opportunity to join a thriving team during ...