151 to 175 of 208 Statistical Modelling Jobs in the UK

organisational skills. A proactive, collaborative approach with high attention to detail. Desirable: Experience working directly with NHS datasets. Knowledge of mental health service data and performance metrics. Skills in statistical analysis, data modelling, or APIs/system integrations. Professional certification in data analytics or Looker Studio. Benefits Flexible remote working Company pension Private medical insurance Employee discounts Training More ❯

Be Doing: Work closely with fellow data scientists to explore how AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision) using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise More ❯

Be Doing: Work closely with fellow data scientists to explore how AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision) using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise More ❯

complex ideas to both technical and non-technical stakeholders. Technical Prowess: You have a strong command of quantitative trading principles and are proficient with relevant technologies. Deep knowledge of statistical modelling, machine learning techniques, and time series analysis. Hands-on experience with back-testing frameworks and simulation environments. A strong understanding of various market data APIs, trading protocols More ❯

complex ideas to both technical and non-technical stakeholders. Technical Prowess: You have a strong command of quantitative trading principles and are proficient with relevant technologies. Deep knowledge of statistical modelling, machine learning techniques, and time series analysis. Hands-on experience with back-testing frameworks and simulation environments. A strong understanding of various market data APIs, trading protocols More ❯

complex ideas to both technical and non-technical stakeholders. Technical Prowess: You have a strong command of quantitative trading principles and are proficient with relevant technologies. Deep knowledge of statistical modelling, machine learning techniques, and time series analysis. Hands-on experience with back-testing frameworks and simulation environments. A strong understanding of various market data APIs, trading protocols More ❯

complex ideas to both technical and non-technical stakeholders. Technical Prowess: You have a strong command of quantitative trading principles and are proficient with relevant technologies. Deep knowledge of statistical modelling, machine learning techniques, and time series analysis. Hands-on experience with back-testing frameworks and simulation environments. A strong understanding of various market data APIs, trading protocols More ❯

complex ideas to both technical and non-technical stakeholders. Technical Prowess: You have a strong command of quantitative trading principles and are proficient with relevant technologies. Deep knowledge of statistical modelling, machine learning techniques, and time series analysis. Hands-on experience with back-testing frameworks and simulation environments. A strong understanding of various market data APIs, trading protocols More ❯

help shape pricing strategy and drive commercial performance through automation and data-led insight. You’ll work closely with stakeholders across Commercial, Revenue Management, and Data Engineering to develop statistical and machine learning models that optimise pricing decisions and operational efficiency. This is a high-impact role where your work will directly contribute to business growth, margin improvement, and … efficiency What We’re Looking For Essential: Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science or related field Strong proficiency in Python, SQL Hands-on experience with statistical analysis and machine learning Able to translate complex data challenges into practical business solutions Strong communication and stakeholder management skills Knowledge of revenue management principles in a commercial setting … Familiar with project management processes 2+ years of experience applying machine learning or statistical models in a commercial context Understanding of Snowflake, AWS, and Microsoft SharePoint Experience in hospitality, travel, or pricing optimisation sectors If this role looks of interest, apply here More ❯

the forefront of this mission, leveraging advanced machine learning and real-time analytics to protect millions of transactions daily. Our sophisticated platform processes billions of evaluations annually, employing innovative statistical modeling and cloud computing technologies to stay ahead of emerging security challenges. Working here means joining an elite team of engineers and scientists who are redefining what's possible More ❯

a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize data and generate other business More ❯

alongside our Data Science and Analytics teams and collaborate with product and engineering teams to work on Identity and Data Solutions products. This includes vendor analysis and onboarding, establishing statistical methodology and modeling standards and development. The ideal candidate is a self-starter comfortable working with large datasets and knowledgeable in statistical and machine learning techniques, with an … discovery phase for new and existing products/models. The primary areas include Identity and Data Solutions. Actively participate in the development and enhancement of our Identity Graph, utilizing statistical and machine learning techniques to improve accuracy. Drive the onboarding and validation of new data vendors, by establishing statistical methodologies and conducting comprehensive analysis to ensure new data … performing analyses and producing summary results. Collaborate with cross-functional teams to deliver on broader project goals. Participate in developing methodologies, model validation, and maintenance and enhancement of existing statistical and machine learning models. Support evaluation and validation of both internal and external products to ensure Cint’s success. Communicate insights and recommendations through visualizations and presentations that will More ❯

alongside our Data Science and Analytics teams and collaborate with product and engineering teams to work on Identity and Data Solutions products. This includes vendor analysis and onboarding, establishing statistical methodology and modeling standards and development. The ideal candidate is a self-starter comfortable working with large datasets and knowledgeable in statistical and machine learning techniques, with an … discovery phase for new and existing products/models. The primary areas include Identity and Data Solutions. Actively participate in the development and enhancement of our Identity Graph, utilizing statistical and machine learning techniques to improve accuracy. Drive the onboarding and validation of new data vendors, by establishing statistical methodologies and conducting comprehensive analysis to ensure new data … performing analyses and producing summary results. Collaborate with cross-functional teams to deliver on broader project goals. Participate in developing methodologies, model validation, and maintenance and enhancement of existing statistical and machine learning models. Support evaluation and validation of both internal and external products to ensure Cint’s success. Communicate insights and recommendations through visualizations and presentations that will More ❯

alongside our Data Science and Analytics teams and collaborate with product and engineering teams to work on Identity and Data Solutions products. This includes vendor analysis and onboarding, establishing statistical methodology and modeling standards and development. The ideal candidate is a self-starter comfortable working with large datasets and knowledgeable in statistical and machine learning techniques, with an … discovery phase for new and existing products/models. The primary areas include Identity and Data Solutions. Actively participate in the development and enhancement of our Identity Graph, utilizing statistical and machine learning techniques to improve accuracy. Drive the onboarding and validation of new data vendors, by establishing statistical methodologies and conducting comprehensive analysis to ensure new data … performing analyses and producing summary results. Collaborate with cross-functional teams to deliver on broader project goals. Participate in developing methodologies, model validation, and maintenance and enhancement of existing statistical and machine learning models. Support evaluation and validation of both internal and external products to ensure Cint’s success. Communicate insights and recommendations through visualizations and presentations that will More ❯

and saying "I created that" - thing visible to a global audience? This is an opportunity to join just that and more. The opportunity would have you delivering products and statistical models for some of the top football leagues and individual players across the globe. About you: Strong background in Scala development as a senior developer - working in fast paced More ❯

and saying "I created that" - thing visible to a global audience? This is an opportunity to join just that and more. The opportunity would have you delivering products and statistical models for some of the top football leagues and individual players across the globe. About you: Strong background in Scala development as a senior developer - working in fast paced More ❯

and saying "I created that" - thing visible to a global audience? This is an opportunity to join just that and more. The opportunity would have you delivering products and statistical models for some of the top football leagues and individual players across the globe. About you: Strong background in Scala development as a senior developer - working in fast paced More ❯

and saying "I created that" - thing visible to a global audience? This is an opportunity to join just that and more. The opportunity would have you delivering products and statistical models for some of the top football leagues and individual players across the globe. About you: Strong background in Scala development as a senior developer - working in fast paced More ❯

and saying "I created that" - thing visible to a global audience? This is an opportunity to join just that and more. The opportunity would have you delivering products and statistical models for some of the top football leagues and individual players across the globe. About you: Strong background in Scala development as a senior developer - working in fast paced More ❯

operational teams to recommend corrective actions and performance improvements.· Design and refine metrics, KPIs, and frameworks to measure and optimise business outcomes.· Support business change programmes through robust data modelling and scenario planning.· Champion best practices in data collection, reporting, and analysis to improve quality and accuracy. About You: · 3+ years' experience in a data analyst role, ideally within … SQL, and Power BI.· Experience in Python for simulation, optimisation, and data modelling.· Strong analytical ability with proven track record translating complex data into clear business recommendations.· Knowledge of statistical techniques and data modelling.· Confident communicator with the ability to influence stakeholders at all levels.· Highly organised, detail-oriented, and comfortable working in a fast-paced, matrix environment. This More ❯

science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools and approaches to support organisational commitments. Manage competing demands for Data Science work within the Data More ❯

Business Intelligence Design, develop, and maintain dashboards and self-service reports to empower procurement teams with actionable insights. Manage data from multiple systems, ensuring integrity, consistency, and accessibility. Provide statistical analysis, modelling, and KPI reporting (weekly, monthly, and quarterly) to support decision-making. Drive the development of a data warehouse and ensure it remains accurate and up to More ❯

our people to make an impact and develop their own unique career path. This is an opportunity to take a leading role in expanding RSM's capabilities in quantitative modelling solutions and being a part of our broader financial modelling and analytics community. You will play a key role in developing sophisticated statistical models and tools for … regulatory landscape. Additionally, this capability will provide crucial support to RSM's Audit business by reviewing and challenging financial models, particularly in areas such as expected credit loss (ECL) modelling and broader Financial Services matters. Working closely with Partners and Directors, you will have the opportunity to shape our methodologies, tools, and processes. A proactive approach to stakeholder engagement … and working to agreed budgets, managing risk and maintaining high levels of quality and good commercial outcomes. Completion of associated documentation to a high standard is expected. Developing complex statistical models and tools; techniques including (inter alia) regression analysis, time series and survival analyses, Monte Carlo simulation. Coding and review of tools in modern computing languages (e.g. R, SAS More ❯

a scalable, tech-enabled platform that intercepts millions of unwanted items every year, transforming them from landfill-bound to re-loved by new owners. Responsibilities: Lead and deliver scalable statistical models and analyses that drive business decisions Own end-to-end delivery of data science projects, from identifying and integrating data sources to experimentation, model deployment, and pricing strategy … optimization Define and implement best practices in modelling, automation, and process improvements, ensuring the right tools and approaches are used for each problem. Effectively communicate complex insights to both technical and non-technical audiences, including senior executives, with a strong focus on commercial impact. Collaborate cross-functionally with product managers, engineers, and other stakeholders to align data science work More ❯

a scalable, tech-enabled platform that intercepts millions of unwanted items every year, transforming them from landfill-bound to re-loved by new owners. Responsibilities: Lead and deliver scalable statistical models and analyses that drive business decisions Own end-to-end delivery of data science projects, from identifying and integrating data sources to experimentation, model deployment, and pricing strategy … optimization Define and implement best practices in modelling, automation, and process improvements, ensuring the right tools and approaches are used for each problem. Effectively communicate complex insights to both technical and non-technical audiences, including senior executives, with a strong focus on commercial impact. Collaborate cross-functionally with product managers, engineers, and other stakeholders to align data science work More ❯