176 to 190 of 190 Statistical Analysis Jobs in England

What you bring to the team: Strong Microsoft Office software experience; Word and Powerpoint with expert Excel skills Attention to detail, ability to analyse and interpret data Experience with statistical analysis and able to problem solve data errors A strong team member with a willingness to assist and support others as required Experience in a fast-paced organisation More ❯

competence in Applications, Operability, Integration, Data, Technology, Infrastructure, and Security architecture. Technical Skills: Experience of commercial integration of AI into Operational systems, or similar, featuring LLM, Transformer, ML & traditional statistical data driven software components. Proficiency in SaaS, API design, Azure/Kubernetes hosting, and Integration technologies. Experience in developing distributed/scalable systems and high-volume, low latency, transaction … including the application of LLM driven and Data Science DevOps/MLOps/AIOps methodologies. Expertise in data management and analytics, including data structures, data processing, data modelling, and statistical analysis. Knowledge of Python and C# for development and scripting. Leadership: Proven from-scratch creative solution development with incomplete requirements and multiple divergent opportunities, based on top-down and More ❯

competence in Applications, Operability, Integration, Data, Technology, Infrastructure, and Security architecture. Technical Skills: Experience of commercial integration of AI into Operational systems, or similar, featuring LLM, Transformer, ML & traditional statistical data driven software components. Proficiency in SaaS, API design, Azure/Kubernetes hosting, and Integration technologies. Experience in developing distributed/scalable systems and high-volume, low latency, transaction … including the application of LLM driven and Data Science DevOps/MLOps/AIOps methodologies. Expertise in data management and analytics, including data structures, data processing, data modelling, and statistical analysis. Knowledge of Python and C# for development and scripting. Leadership: Proven from-scratch creative solution development with incomplete requirements and multiple divergent opportunities, based on top-down and More ❯

competence in Applications, Operability, Integration, Data, Technology, Infrastructure, and Security architecture. Technical Skills: Experience of commercial integration of AI into Operational systems, or similar, featuring LLM, Transformer, ML & traditional statistical data driven software components. Proficiency in SaaS, API design, Azure/Kubernetes hosting, and Integration technologies. Experience in developing distributed/scalable systems and high-volume, low latency, transaction … including the application of LLM driven and Data Science DevOps/MLOps/AIOps methodologies. Expertise in data management and analytics, including data structures, data processing, data modelling, and statistical analysis. Knowledge of Python and C# for development and scripting. Leadership: Proven from-scratch creative solution development with incomplete requirements and multiple divergent opportunities, based on top-down and More ❯

competence in Applications, Operability, Integration, Data, Technology, Infrastructure, and Security architecture. Technical Skills: Experience of commercial integration of AI into Operational systems, or similar, featuring LLM, Transformer, ML & traditional statistical data driven software components. Proficiency in SaaS, API design, Azure/Kubernetes hosting, and Integration technologies. Experience in developing distributed/scalable systems and high-volume, low latency, transaction … including the application of LLM driven and Data Science DevOps/MLOps/AIOps methodologies. Expertise in data management and analytics, including data structures, data processing, data modelling, and statistical analysis. Knowledge of Python and C# for development and scripting. Leadership: Proven from-scratch creative solution development with incomplete requirements and multiple divergent opportunities, based on top-down and More ❯

competence in Applications, Operability, Integration, Data, Technology, Infrastructure, and Security architecture. Technical Skills: Experience of commercial integration of AI into Operational systems, or similar, featuring LLM, Transformer, ML & traditional statistical data driven software components. Proficiency in SaaS, API design, Azure/Kubernetes hosting, and Integration technologies. Experience in developing distributed/scalable systems and high-volume, low latency, transaction … including the application of LLM driven and Data Science DevOps/MLOps/AIOps methodologies. Expertise in data management and analytics, including data structures, data processing, data modelling, and statistical analysis. Knowledge of Python and C# for development and scripting. Leadership: Proven from-scratch creative solution development with incomplete requirements and multiple divergent opportunities, based on top-down and More ❯

Collaborate with stakeholders to automate and streamline reporting processes. Data Quality Partnership : Partner with Product and Engineering to ensure data quality, consistency, and availability across the stack. Ad Hoc Analysis : Conduct deep-dive analyses to answer business questions, inform strategy, and support fundraising efforts. What we're looking for: Experience : 3-5 years as a Data Analyst with expertise … recommendations. Extra Credit: Bonus Experience : Background in financial services, green energy, or climate tech is a plus. A/B Testing : Experience with A/B testing, experimentation, and statistical analysis. Cloud Platforms : Familiarity with Google Cloud Platform (GCP) or AWS. Our Recruitment Process: Initial Call: Start with an introductory call with our Junior Talent Acquisition Specialist to discuss More ❯

predictive models, and drive data-led strategies that directly influence product and business decisions. What You’ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions … or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills for presenting technical insights to non-technical stakeholders Desirable (Not Essential More ❯

predictive models, and drive data-led strategies that directly influence product and business decisions. What You’ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions … or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills for presenting technical insights to non-technical stakeholders Desirable (Not Essential More ❯

predictive models, and drive data-led strategies that directly influence product and business decisions. What You’ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions … or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills for presenting technical insights to non-technical stakeholders Desirable (Not Essential More ❯

predictive models, and drive data-led strategies that directly influence product and business decisions. What You’ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions … or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills for presenting technical insights to non-technical stakeholders Desirable (Not Essential More ❯

predictive models, and drive data-led strategies that directly influence product and business decisions. What You’ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions … or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills for presenting technical insights to non-technical stakeholders Desirable (Not Essential More ❯

the delivery of strategic advice to senior client management through analytics and data expertise. You will deliver analytic modules with guidance from senior team members, involving data gathering, cleaning, analysis, modeling, and interpretation of results. You will work directly with clients to conduct advanced analyses across various data sources and will play a key role in team problem solving … an undergraduate or postgraduate degree in Economics, Analytics, Computer Science, Mathematics, Statistics, or a related quantitative field Experience in data collection, cleaning, merging, and profiling for modeling Knowledge of statistical analyses, modeling, and ability to explain analytic processes and rationale for chosen approaches Familiarity with supervised and unsupervised learning algorithms for customer segmentation, behavior prediction, response modeling, recommendations, and More ❯

About Football Radar For over a decade, Football Radar has excelled in developing statistical models and analytical frameworks for football. Our expertise extends to providing advisory services to football clubs and offering leading-edge betting advice that has consistently delivered outstanding returns for our clients. We try to combine the freedom and flexibility of working in a start-up … the stability of an established business, giving our people the autonomy to act and the support to succeed. About the Role You will be responsible for designing and developing statistical models used to predict cricket matches. We are looking for smart, mathematical and ambitious people who enjoy solving challenging problems and can make pragmatic decisions. You do need to … you if you have: Strong problem solving skills, with an ability to proactively identify challenges and propose solutions An ability to make pragmatic and sensible choices about what data analysis and modelling approaches to use - you can judge when it's right to obsess about the details, and when it's right to ship an MVP as fast as More ❯

be included in relevant hardware designs by applying an understanding of how moderately complex features or products work under a variety of customer scenarios. - Develops and implement data and statistical frameworks using programming language and relational database structures to manage products, identifying complex problems or flaws that may affect a feature or product design change. - Identifies possible solutions and … brings them to the attention of other engineers or team leads, managing product changes through change requests. - Uses root cause analysis to identify complex problems or flaws that may affect a feature or product design change. Identifies possible solutions and brings them to the attention of other engineers or team leads. - Contributes input to a single project implementation schedule … . - Identifies opportunities to affect downstream execution of projects by resolving issues and implementing design tradeoffs within scope (e.g., performance vs. reliability and manufacturing concerns). - Uses data and statistical analyses to make recommendations to optimize existing processes, or creates new processes that can be used by own team. Identifies common project risks (e.g., external supplier or partner delays More ❯