6 of 6 Analytical Modelling Jobs in the West Midlands

customer for analytics capability development, working closely with the Data Engineer and Manufacturing Systems Integration Engineer to define data structures, traceability requirements, dashboards and 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 and test data through time-series visualisation and traceability, before advancing into variable-to-variable correlations, process characterisation, feature engineering, statistical modelling, predictive analytics ...

play a key role within the Insights department, driving evidence-based insights across multiple performance functions. The successful candidate will develop and implement advanced analytical models and data-driven applications to generate actionable insights that support player selection, development and performance outcomes. Leveraging their expertise in data science, they … processes. What will you be doing? The England Men's Insights Senior Data Scientist will play a pivotal role in creating and implementing advanced analytical models & tools to provide actionable insights and empower informed decision-making. Data Science Skillset: Work closely with technical staff to deeply understand the football ...

storage. Lead architectural assurance for major projects and changes, assessing designs against standards, identifying impacts and recommending appropriate mitigations. Provide expert guidance on data modelling, integration, master data, metadata, migration and analytics. Ensure project data deliverables align with the organisation's data architecture and strategic objectives. Champion data architecture … data domains, processes and regulatory/compliance requirements, ideally within a professional services or legal environment. Extensive experience with conceptual, logical and physical data modelling, including transactional, analytical and relational models. Experience working with data models across multiple technologies, including RDBMS and APIs. Strong experience producing ERDs, data ...

governance and regulatory expectations. Owns underwriting data standards and governance, common data definitions, quality rules, and control frameworks, acting as data owner. Provides independent analytical challenge to pricing and modelling teams, balancing statistical evidence with commercial underwriting judgement. Represents underwriting priorities in enterprise data/analytics strategy, working … closely with Pricing, Risk, Customer Data Science, Enterprise Data, and Technology. Develops MI and analytical outputs that translate into clear, actionable recommendations for portfolio and trading decisions. Embeds governance and regulatory compliance across analytics and data, including data quality, model risk, and auditability. Builds analytical capability across ...

embedded into decision-making. What will you be doing? The Research &Development Data Scientist will play a pivotal role in creating and implementing advanced analytical models to provide actionable insights and empower informed decision-making. Data Science Research: Play a leading role in designing and implementing world-leading statistical … relevance. Contribute to a culture of peer review within the team, offering and welcoming constructive feedback to improve the quality and rigour of modelling work. Data Engineering: Work closely with the Senior Data Architect and Development Team to ensure seamless integration of analytics reporting and models. Work within ...

changes in demand or capacity. Analyse operational and network performance, conduct post-event reviews , and use findings to drive continuous improvement. Use data, modelling and operational insight to identify trends, challenge assumptions and translate complex information into clear, actionable recommendations and decisions . Lead scenario planning and performance reviews … transport requirements . Experience planning for Peak trading periods, seasonal demand, Bank Holidays or other large-scale/high-volume operational events . Advanced analytical capability, including Excel modelling and scenario planning . The ability to analyse performance and translate complex operational data into clear recommendations and actionable ...