76 to 100 of 267 Statistical Analysis Jobs in England

Strong hands-on experience with data visualisation tools such as Tableau, Power BI, or Looker. Familiarity with programming languages like Python or R for statistical analysis is highly advantageous. Excellent communication skills, with the ability to explain complex data concepts to non-technical audiences clearly and concisely. ...

Strong hands-on experience with data visualisation tools such as Tableau, Power BI, or Looker. Familiarity with programming languages like Python or R for statistical analysis is highly advantageous. Excellent communication skills, with the ability to explain complex data concepts to non-technical audiences clearly and concisely. ...

cohesively within diverse teams to drive optimised, cohesive transformations and advanced planning solutions.Essential: Experience in end-to-end supply chain analytics, data modelling, and statistical analysis, with proficiency in analytical tools (e.g., Python, R, SQL) and data visualisation platforms.Experience of working with clients and internal stakeholders, where ...

cohesively within diverse teams to drive optimised, cohesive transformations and advanced planning solutions.Essential: Experience in end-to-end supply chain analytics, data modelling, and statistical analysis, with proficiency in analytical tools (e.g., Python, R, SQL) and data visualisation platforms.Experience of working with clients and internal stakeholders, where ...

cohesively within diverse teams to drive optimised, cohesive transformations and advanced planning solutions.Essential: Experience in end-to-end supply chain analytics, data modelling, and statistical analysis, with proficiency in analytical tools (e.g., Python, R, SQL) and data visualisation platforms.Experience of working with clients and internal stakeholders, where ...

insurance business who are looking for a highly analytical Pricing Data Analyst to join a growing data and analytics Pricing Team. You will use statistical analysis, data science and modelling to support pricing decisions across the business. The role suits someone with a strong mathematical or statistical … problems through data. What you will be doing as their Pricing Data Analyst: Analyse pricing and insurance data to identify trends and opportunities. Develop statistical and predictive models to support pricing decisions. Analyse the impact of pricing changes. Support pricing and underwriting teams with data-driven insight. Build ...

business intelligence support across FedBucks' Integrated Urgent Care, Primary Care Services and Community Healthcare programmes. The post holder will be responsible for the collection, analysis, interpretation and presentation of operational, workforce, clinical and contractual performance data to support effective decision-making, service improvement and organisational growth. Working across … utilisation and service performance. Produce forecasts to assist operational planning and resource management. Support winter planning, resilience planning and business continuity arrangements through data analysis and modelling. Work with operational managers to identify capacity constraints and workforce requirements. Service Improvement & Operational Support Identify service pressures, bottlenecks, inefficiencies and emerging ...

Experience of Arm CPUs , System IP and debug tools Experience of AMBA protocols Understanding of ML applications and their workloads Experience in Characterization, Failure Analysis, Test Development, Statistical analysis, and Customer Support Benefits and Inclusion In addition to a competitive salary, Graphcore offers flexible working, a generous … confidential diversity data from all applicants. This data will be anonymised so that no personal identification information will be collected, and is retained for statistical purposes only and is not attached to your application. Your responses to the following questions will remain confidential and will not impact ...

development of evaluation datasets, gold standards, and annotation strategies. Guide and review experimental design, including offline evaluation and A/B testing, ensuring statistical rigor and validity. Contribute to responsible AI practices, including bias, fairness, and risk evaluation Apply and adapt state‐of‐the‐art techniques in NLP, embeddings … e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack) Experience working with Databricks or similar distributed data/ML platforms Strong understanding of experimentation design and statistical analysis Preferred qualifications PhD in Computer Science, Data Science, Machine Learning, or a related field Experience working with large‐scale datasets (scientific, biomedical ...

development of evaluation datasets, gold standards, and annotation strategies. Guide and review experimental design, including offline evaluation and A/B testing, ensuring statistical rigor and validity. Contribute to responsible AI practices, including bias, fairness, and risk evaluation Generative AI & Applied Research Apply and adapt state … e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack) Experience working with Databricks or similar distributed data/ML platforms Strong understanding of experimentation design and statistical analysis Preferred qualifications Batchelor's, Masters, PhD in Computer Science, Data Science, Machine Learning, or a related field Experience working with large-scale ...

data setsProgramming experience (focus on machine learning): R and/or Python, with SPSS, SAS, or similar tools considered nice-to-haveAbility to prototype statistical analysis and modeling algorithms and apply them to develop data-driven solutions in new domainsAbility to independently own and drive model development while ...

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. ...

impactful manner to drive data-driven decision making. Deliver deep-dive customer insight and recommendations that explain customer performance and behavioural trends.Advanced Analytics: Apply statistical and analytical techniques such as segmentation, clustering, predictive modelling and campaign measurement. Working knowledge of data science techniques including random forest, k-means … Loosely Held: Be vocal and maintain your point of view while remaining open to new ideas, challenge and opposing perspectives.Who you are:Proficiency in statistical analysis, customer analytics and data visualisation tools. Experience working with large customer, marketing, loyalty or digital datasets. (3+ years)Proven experience writing code ...

business. You'll be responsible for: Analysing large and complex datasets to generate actionable customer insights Building data marts and analytical models Using statistical and machine learning techniques, including regression and clustering Presenting findings clearly to senior stakeholders and influencing data-driven decisions Working collaboratively across teams to identify … opportunities for optimisation About you: 3+ years' experience in statistical analysis and data visualisation Strong SQL and experience with Python and/or R Knowledge of advanced analytics and machine learning techniques Excellent communication and stakeholder management skills A curious, analytical mindset with strong attention to detail Location ...

assisted development: High proficiency using Kiro/Claude as daily development tools not just prompting, but leveraging AI to accelerate pipeline development, data analysis, and automation - Skills & agents: Hands-on experience building AI skills and agents within the Amazon internal ecosystem (AIM, MCP integrations), or a strong desire … data visualization using Tableau, Quicksight, or similar tools- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)- Experience with scripting language (e.g., Python, Java, or R)- Experience with SQL- Experience in the data/ ...

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 ...

Principal Scientist or Associate DirectorPosition Location: Cambridge, MA HybridKey responsibilities:Lead data science strategy and execution for hypothesis-driven discovery programs, including study design, analysis of experiments, and interpretation of complex biological datasets.Drive multi-omics analytics across genomics, transcriptomics, proteomics, single-cell, spatial, imaging, clinical, and other relevant data … modalities to support target and biomarker portfolios.Translate scientific questions into computational strategies, selecting fit-for-purpose statistical, machine learning, AI, and bioinformatics approaches.Operationalize responsible use of generative and/or agentic AI tools in drug discovery workflows, ensuring scientific rigor, data governance, and appropriate human oversight.Contribute hands-on technical ...

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 ...

experience applying data science methods to solve real-world problems with a proven track record of deploying AI models and solutions to production. Strong statistical analysis skills, with a foundation in probability, to support robust model development and interpretation. Proficiency in Object-Oriented programming in Python with expertise ...

Extensive experience applying data science methods to solve real-world problems with a proven track record of deploying AI models and solutions to production.Strong statistical analysis skills, with a foundation in probability, to support robust model development and interpretation.Proficiency in Object-Oriented programming in Python with expertise ...

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 ...

models that genuinely move the needle. To be successful, you’ll be comfortable getting hands‐on with pipelines and infrastructure - and unafraid of the statistical rigour that serious modelling demands. You’ll work closely with stakeholders across every part of the business - helping them ask better questions, understand … scoped modelling problems with clear success criteria Identifying where predictive, forecasting or optimisation models can have the greatest business impact, and prioritising accordingly Modelling & Statistical Analysis Designing, developing and iterating supervised and unsupervised ML models that predict, forecast and optimise across the business Applying rigorous statistical methods ...

Senior Management is expected. Responsibilities Lead research and development of margin, stress testing, and risk management models for clearing houses. Perform quantitative risk analysis and develop solutions across multiple asset classes (interest rate, equity, credit, and commodity derivatives). Conduct data exploration, statistical analysis, and time series … senior management. Collaborate with technology teams for production implementation and integration of models and data systems. Engage in innovative research in quantitative finance, advanced statistical techniques, and data science. Knowledge and Experience Advanced degree (MSc or PhD) in Mathematics, Statistics, Physics, Quantitative Finance, Data Science, or a related field. ...