76 to 100 of 191 Statistical Analysis Jobs in the UK

data lakes, and modern data platforms Familiarity with advanced analytics or machine learning concepts Experience with Microsoft Power Platform for process automation Understanding of statistical analysis, reporting, and visualisation techniques What We Offer Industry aligned competitive salary 33 days annual leave, including bank holidays Access to learning resources ...

product data into meaningful insights that improve quality, performance and decision-making. Working closely with engineering, manufacturing and digital teams, you will apply analytics, statistical modelling and machine learning techniques to solve complex engineering challenges. The Data Scientist will: Analyse manufacturing, quality and product performance data to identify trends … improvement opportunities. Develop analytical models, dashboards and reporting tools. Apply statistical and machine learning techniques to support engineering decisions. Define data and reporting requirements with engineering and digital teams. Support simulation and modelling activities using real-world data. Present findings and recommendations to technical and non-technical stakeholders. ...

relationship-building skills.* Highly organized, proactive, and able to work independently.**Assets*** Experience with Google Looker or other analytics/reporting tools.* Knowledge of statistical analysis techniques.* Familiarity with operations data in Order Management, Supply Management, Product Line Management, Inventory, or Services domains.* Proficiency with MS Office, particularly … Excel and Outlook.* Demonstrated performance in: + Analysis and problem-solving + Change management and adaptability + Customer focus and initiative + Effective organization and prioritization#LI-SG1Join our to get relevant job alerts straight to your inbox. At Ciena, we are committed to building and fostering an environment ...

will spearhead the development of advanced probabilistic models that power real-time betting markets. Full-time Closes 09/09/2026 The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models … such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments. Track ...

will spearhead the development of advanced probabilistic models that power real-time betting markets. Full-time Closes 10/06/2026 The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models … such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments. Track ...

actively encouraged. The Role You will be responsible for: Collecting, cleaning, and preparing data from multiple sources to ensure quality and accuracy. Applying statistical analysis and machine learning techniques to solve business challenges. Building, deploying, and maintaining predictive models that deliver tangible value. Developing and enhancing … Strong commercial experience delivering data science solutions. Excellent Python or R programming skills. Strong SQL capabilities for data extraction and analysis. Experience with forecasting, statistical modelling, and machine learning techniques. Knowledge of the full data science lifecycle from model development through to deployment and monitoring. Experience working with cloud ...

user engagement patterns, with a proven track record of optimizing funnel conversion, retention cohorts, and Customer Lifetime Value (LTV). Strong foundation in statistical analysis and experimental design (A/B and multivariate testing), with the ability to define rigorous testing frameworks to validate product and programming improvements. … with the ability to present complex data to executive leadership in a clear, compelling, and concise manner using Keynote. Preferred Qualifications Advanced proficiency in statistical programming languages (e.g., Python, R) for deep-dive behavioural analysis and predictive modelling. 5+ years operating in an international or regional capacity, successfully ...

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 ...

planning and efficiency optimisation Learn BMA's core technologies and the proprietary DecisioTM platform Gather, transform, and validate data to design solutions Conduct scenario analysis and network design optimisation Develop mathematical models to meet internal and client requirements Participate in system development, testing, deployment, and feedback Bachelor's degree … higher, in Mathematics, Engineering, Water Engineering, Water Sciences, Data Science, Statistical/Decision Sciences, or a STEM equivalent Proficiency in advanced analytics and data science: statistical analysis, forecasting, predictive modelling, and optimisation algorithms Strong Microsoft Excel skills, plus familiarity with MS SQL Server, Python, R, linear programming ...

will help redefine what it means. We are seeking a proactive individual with a strong understanding of Production Management, Risk Management, and Data Analysis, eager to apply their expertise within the complex and highly regulated environment of the banking sector. Your contributions will be instrumental in ensuring the resilience … vital systems. Responsibilities: Define, govern, and oversee the strategic reporting framework for monthly stability metrics across diverse business units, leveraging advanced data analysis and visualization to translate complex, multi-dimensional datasets into high-impact, executive-ready insights, and then presenting to senior leadership. Quantitative KPI & SLO modelling to architect ...

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 ...