23 of 23 Statistical Modelling Jobs in the Midlands

analytical workflows. The successful candidate will help shape the evolution of Insights Hub from foundational time-series data visualisation and reporting through to advanced statistical analysis, modelling, machine learning and predictive analytics capabilities. The analytics capability is expected to evolve in stages, beginning with establishing access to manufacturing … test data through time-series visualisation and traceability, before advancing into variable-to-variable correlations, process characterisation, feature engineering, statistical modelling, predictive analytics and machine learning. The successful candidate will play a leading role in defining and delivering this capability roadmap. In summary, the key deliverables for this ...

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 and 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 ...

deploy advanced analytical, machine learning and AI solutions to solve complex business problems. Working across customer, claims, strategy and underwriting domains, you'll combine statistical modelling, predictive analytics and modern machine learning techniques to generate actionable insights and support decision making at scale. You'll work closely with … providing opportunities to work with modern AI technologies alongside established machine learning techniques. You’ll build a detailed understanding of relevant datasets, apply robust statistical methods and model governance, and communicate findings clearly so stakeholders can act with confidence. You’ll also contribute to continuous improvement as technology, methods ...

questions. Design and deliver analytical products that directly shape football decisions. Support our R&D team in the design and implementation of world-leading statistical and machine learning models, drawing insight from football datasets including event data, optical and broadcast tracking data, and GPS/performance data. Effectively utilise … coding agents and tooling to accelerate the speed of development. Maintain high standards of statistical rigour, ensuring any findings that are communicated to stakeholders have been appropriately validated. Provide technical guidance and support to stakeholders to enhance their understanding and utilisation of data science tools. Work closely with ...

role within the Research & Development function of the Insights team. The primary focus of this role is to design and build world-leading statistical and machine learning models that provide a competitive advantage to England teams. The successful candidate will develop innovative methodologies to model diverse aspects of international … deliver actionable insights to a wide range of stakeholders. Leveraging their technical expertise, the Research & Development Data Scientist will design, train and validate statistical and machine learning models, working closely with stakeholders to ensure cutting-edge, data-driven insights are effectively communicated and embedded into decision-making. Whatwill ...

role within the Research & Development function of the Insights team. The primary focus of this role is to design and build world-leading statistical and machine learning models that provide a competitive advantage to England teams. The successful candidate will develop innovative methodologies to model diverse aspects of international … deliver actionable insights to a wide range of stakeholders. Leveraging their technical expertise, the Research & Development Data Scientist will design, train and validate statistical and machine learning models, working closely with stakeholders to ensure cutting-edge, data-driven insights are effectively communicated and embedded into decision-making. What will ...

evidencing your experience with as many of the following areas as possible: R, Python, and C++ AI (LLMs, NLP, and ML) or other quantitative modelling in AI Designing APIs and linking systems together Statistical modelling and/or interdisciplinary mathematical modelling High-performance scientific computing About ...

deliver measurable commercial outcomes Explore, profile, and analyse large and complex datasets to identify trends, opportunities, and features that improve model performance Apply statistical techniques, feature engineering, and model tuning to create robust and scalable analytical solutions Collaborate with Data Engineers and ML Engineers to operationalise models and embed … demonstrable examples of machine learning models being deployed into production and delivering tangible business value Advanced Python skills, with experience using machine learning and statistical modelling techniques in commercial environments Strong experience with Azure Databricks or similar technology, SQL, and large-scale data analysis, with the ability ...

Senior Operations Performance Analyst We are recruiting a Senior Analyst with exemplary data modelling and analytical capabilities; coupled with the ability to present and communicate performance trends, root causes of performance variances against KPI’s and build detailed and robust data models to highlight improvement initiatives and performance enhancements. … technical expert in the application and use of Excel, SQL, Power BI and Power Platforms. Experience with Tableau is advantageous as is experience of statistical and machine learning techniques such as time series analysis and forecasting. Interested applicants MUST possess advanced Excel & Power BI skills, be highly proficient with ...

process more than 1.5 million bets per hour at peak. Job Description As a Data Scientist, you will develop machine learning solutions and perform statistical analysis to inform strategic, data-driven business decisions and initiatives. Our Data Analytics team monitors, analyses, and optimises key performance indicators across our range … depth exploratory data analysis to uncover hidden patterns, identify trends, and generate actionable insights that inform strategic business decisions. Developing and deploying robust statistical and machine learning models to address complex business challenges and drive innovative solutions. Designing, implementing, and analysing A/B tests and other controlled experiments ...

Commercial Targeting and Modelling Manager Required to be based in either London, Coventry or Glasgow. As a Barclays Commercial Targeting and Modelling Manager, you will have responsibility for a named business line, and will drive the marketing strategy for customer contacts to deliver near-perfect/relevant targeting … relationships with the Product and Channel teams to drive through plans and strategy. Communicating the recommendations of analysis to senior stakeholders to maximise performance. Statistical modelling to enhance the marketing campaign touchpoints. Qualifications Analytical experience, preferably within the financial services, products or segments, digital or Telco industries. Excellent ...

pricing, analytics or a related field within insurance or a data-driven environment Strong analytical capability with experience working with large datasets and statistical models Working knowledge of Python, R or similar coding languages, plus SQL skills Ability to interpret data and translate findings into clear commercial recommendations Strong ...

site and teams/functions. Surveillance and Data Analysis Identify surveillance needs within given lead areas, create surveillance system specifications, conduct complex statistical analyses and interpret surveillance data, making appropriate recommendations, develop automated routines and solutions and supervise/assure on the preparation, quality and delivery of routine … supervision of the investigation of exceedances, e.g. write protocol of analytical studies, contribute to the production of outbreak control team reports and train interviewers. Statistical and Software Skills Apply a range of common statistical tests and algorithms including time trend analysis and translate statistical processes into automated ...

advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. ...

seeking a Research & Development Data Scientist to design and build state-of-the-art statistical and ML models for England teams. You will translate complex outputs into actionable insights for a wide range of stakeholders and embed data-driven decisions across football operations. You will work across data science ...

need to have: A strong knowledge of the economic crime space, with practical experience of working in risk and/or advisory. Proficiency in statistical models for anomaly detection. Experience within Model Governance, Model Risk Management, Economic Crime Analytics, Risk Management, or Regulatory Oversight. Knowledge on how to support ...

visualise data to identify patterns, trends and opportunities. Develop data science outputs such as models, reports, dashboards, forecasts or decision-support tools. Apply appropriate statistical, machine learning or analytical techniques to solve business or user problems. Work with data engineers, analysts, developers and product teams to deliver usable data … clearly and responsibly. Consider data ethics, privacy and security throughout the data science life cycle. Essential skills and experience Experience applying data science or statistical methods to real-world problems. Good knowledge of Python, R or similar programming languages for analysis and modelling. Understanding of machine learning, statistical ...

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 record … problems without prescriptive approaches. Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives. Developing predictive models and algorithms using statistical techniques and machine learning. Conducting and supervising rigorous statistical validation of models against historical and live data. Collaborating with trading teams to incorporate ...

Client Analytics within Data and Analytics (D&A). You will lead analytical and consultancy projects, including the design and development of complex modelling assignments utilising CRA data. You will have frequent engagements with external customers/stakeholders and will manage multiple projects delivering revenue for Equifax UK. What … DoOur Associate Consultants are highly competent at developing statistical models, with hands on detailed analytic & modelling expertise, leveraging CRA data assets Responsible for supporting the delivery of analytical projects. This includes credit strategy development, scorecard and model development to required quality standards and project timescales. This will cover ...

Join us at Barclays as a Data Modelling Vice President (VP). We’re looking for a senior Data Modeller to define, lead, and evolve the conceptual, logical, and physical data architectures that power our strategic data products across BUK. In this role, you’ll set the modelling … Engineering, Architecture, and Controls teams to build models that are robust, reusable, and ready for enterprise‐scale implementation. To be successful as a Data Modelling VP, you should have experience with: Leading the design and governance of enterprise‐grade conceptual, logical, and physical data models across large financial domains. ...

collaboration that comes from spending time together in the office. What You’ll Do as Senior Decision Scientist Build and deploy ML and statistical models for credit risk, affordability, and pricing Own the full model lifecycle, including data, feature engineering, modelling, validation, deployment and monitoring Develop monitoring frameworks ...

deployment, monitoring and optimisation - while working closely with Data, Risk and Product teams. What you'll be doing Develop and deploy ML and statistical models across credit risk, affordability and pricing Own models end-to-end, including data, feature engineering, modelling, validation, deployment and monitoring Build model monitoring … governance/monitoring experience, and a strong commercial mindset with genuine ownership. If you're a Senior Data Scientist, Decision Scientist or Credit Risk Modelling specialist looking for a role where you can have real influence over SME lending strategy , I'd be keen to hear from you. Please ...

Football Association (The FA) is recruiting a Research & Development Data Scientist to design and build world-class statistical and ML models that provide a competitive edge to England teams. You will develop novel methodologies using event, tracking, GPS, and performance data, and translate findings into actionable insights for stakeholders. ...