101 to 125 of 1,810 Use Case Jobs in England

deliver new products for Business Partnering and Finance; Design, build, and deploy ML models and AI-powered data products; Identify high-value use cases from the People Analytics AI roadmap and deliver production-grade solutions; Conduct advanced analyses to explain drivers and anticipate future outcomes; Partner with ...

optimisation of a modern Medallion Architecture, including Bronze, Silver, and Gold data layers Define semantic data models that support analytics, reporting, and AI use cases Partner with data engineering teams to shape end-to-end data pipelines and data products Lead architecture assurance across business-critical projects ...

other vendor platforms. Assess current workplace environments and identify opportunities for AI driven productivity, automation, and experience improvement. Design and implement AI use cases, including intelligent assistants, workflow automation, knowledge retrieval, and predictive insights. Drive adoption and change management, including training, communications, and user readiness activities. Establish governance ...

Knowledge of DevOps practices, Infrastructure as Code, data governance tools (e.g. Purview), Power BI, other cloud platforms, and exposure to AI/ML use cases would be beneficial Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities ...

monitor dbt tests to ensure data quality and consistent dimensional models Extend and maintain Delta Lake fact and dimension tables for analytics use cases, following a bronze/silver/gold-style data architecture Work closely with analysts, software engineers, and business users using Sigma to ensure they ...

Define the architectural vision for Superscript’s data platform, ensuring it scales with our business and supports diverse use cases including BI, ML, and real-time analytics. Write and review high-quality, production-grade code in Python, SQL, and IaC (Terraform) that sets the standard for engineering excellence. ...

governance of marketing data models within the broader data platform (Databricks), including gold/silver/bronze layer definitions relevant to marketing use cases Identify and close gaps in marketing data coverage; define requirements for new integrations and own their delivery where appropriate Data Products & Reporting Build ...

governance of marketing data models within the broader data platform (Databricks), including gold/silver/bronze layer definitions relevant to marketing use cases Identify and close gaps in marketing data coverage; define requirements for new integrations and own their delivery where appropriate Data Products & Reporting Build ...

governance of marketing data models within the broader data platform (Databricks), including gold/silver/bronze layer definitions relevant to marketing use cases Identify and close gaps in marketing data coverage define requirements for new integrations and own their delivery where appropriate Data Products & Reporting Build ...

with Threat Intelligence and Detection Engineering teams to identify emerging risks, improve detections and strengthen security visibility. Develop and enhance detection rules, analytics, use cases and response playbooks, helping continuously improve our security operations capability. Mentor and support Security Analysts by providing technical guidance, knowledge sharing and oversight ...

Ensure all data products, models, and insights are production-grade, governed, monitored, and measured for business value. Drive high-value data and AI use cases across customer experience, product performance, monetisation, network optimisation, and operational efficiency. Ensure data capabilities support the needs of global customers operating across multiple ...

platforms. Ability to lead multi-disciplinary architecture teams covering cloud, data, cybersecurity, applications, infrastructure, and business domains. Experience implementing AI/ML-driven use cases including demand forecasting, inventory optimization, personalized customer experiences, intelligent supply chains, and predictive logistics. Strong understanding of SRE, AIOps, observability, automation-first delivery ...

whiteboarding Client Interaction: Develop strategies for discovery and objection handling Industry Insights: Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries About the company the company is built for change, empowering our customers and our people to innovate at the speed ...

across SMBC EMEA. This role will oversee a team of AI engineers, delivering secure, scalable, and production‐grade AI systems that support strategic use cases in Capital Markets and Corporate Banking. The successful candidate will work closely with the AI Innovation and Transformation teams to align on deliverables ...

teams to identify opportunities to leverage data for insight, automation, and improved decision making. Provide guidance on data-driven initiatives, KPIs, and analytical use cases. Promote a culture of data literacy and responsible data usage. Risk, Compliance & Security Ensure data platforms and processes meet regulatory and security requirements. ...

teams to identify opportunities to leverage data for insight, automation, and improved decision making. Provide guidance on data-driven initiatives, KPIs, and analytical use cases. Promote a culture of data literacy and responsible data usage. Risk, Compliance & Security Ensure data platforms and processes meet regulatory and security requirements. ...

build scalable data lake and data warehouse solutions on AWS. Develop data ingestion, transformation and storage pipelines to support reporting, analytics and operational use cases. Work with AWS services including S3, Redshift, Glue, Lambda, Lake Formation, Athena and EventBridge. Implement Bronze, Silver and Gold data layers using Medallion ...

practical and effective data architecture designs. Lead the design of data structures and integration patterns supporting placement, policy, claims, exposure, and risk analytics use cases. Establish standards for data ingestion, transformation, storage, lineage, metadata, and consumption. Support the evolution of modern data platforms, including cloud-based data lakes ...

Creating trusted, reusable data products and common datasets that reduce duplication and support consistent enterprise reporting, client insight, digital services, and AI‐ready use cases. Owning the intake, prioritisation, and delivery of engineering, BI, and analytics demand, balancing strategic change, project delivery, and business‐as‐usual requirements. Partnering ...

Implement data solutions in a Microsoft Azure environment using native technologies and RDS (SQL Server) toolsets. Experience with dimensionally modelled databases for analytics use cases. Knowledge of ETL tools and approaches. Hands-on experience with Microsoft Azure technologies, including MS Fabric, Data Factory, Azure Synapse & RDS. Experience with ...

aligned to medallion architecture principles — delivering high-quality, well-governed data products that support analytics, trading insight, and machine learning use cases. This platform underpins critical decision‐making across trading, risk, personalisation, and analytics, and represents a key step forward in standardising and scaling our data ecosystem. What ...

/column-level security). Future-Proof Analytics: Structure data foundations to readily support future analytical workloads, advanced reporting, and data science use cases. Required Technical Skills Cloud Platform & Fabric: 3+ years of dedicated hands-on experience in Microsoft Azure, with practical exposure to the Microsoft Fabric ecosystem ...

hands‐on experience in delivering Analytics solutions, with ideally at least 3–5 years delivering commercially focused analytics serving a wide range of use cases. Experience working with & blending a variety of data types – Sales, Financial, Supply Chain. Proven track record of designing and implementing complex ...

time market data platforms. Support high-performance platforms for tick data storage, market replay, order book reconstruction, quantitative analytics, and future machine learning use cases. 5. Governance, Controls, Vendor & Stakeholder Engagement Champion data quality, lineage, monitoring, entitlement management, ownership, governance, and operational controls across real-time market data ...

make the necessary tradeoff decisions.* Team Leadership - Lead and coach a team owning data presentation, dashboards, platform usability; AI feature productization, use-case definition, and rollout; requirements, backlog, and delivery execution, data structuring. Set clear expectations and ensure ownership across the team is well defined.* Technical Partnership … where caution is required - and ensure each AI feature addresses a genuine client need.* Customer & Market Discovery - Lead discovery into how clients use automotive data, including benchmarking, trend analysis, forecasting, compliance, and decision support, and translate these insights into product direction.* Go-to-Market - Coordinate with sales, marketing ...