76 to 100 of 1,298 Use Case Jobs in London

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 ...

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. ...

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 ...

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 ...

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 ...

technologies and models, prototype new AI capabilities, and run proof-of-concepts Collaborate with business and technology teams to identify high-value use cases Drive innovation through experimentation, knowledge sharing, and continuous learning Help define best practices, technical standards, and reusable patterns for AI development across the organization ...

first stack; Build and maintain production ML pipelines and services for recommender systems, customer segmentation, marketing optimisation, and other non-GenAI use cases; Develop secure, scalable, and observable APIs and microservices for AI/ML solutions; Implement CI/CD for ML services and infrastructure as code; Monitor ...

leverage their knowledge ofAIto drive innovation in data engineering, analytics, and automation. Experience leveraging AI in development, analytics, or SDLC use cases is a critical enabler for this role. Job Responsibilities Lead technical initiativesacross global analytics teams, providing guidance and direction to engineers, contractors, and vendors ...

business intelligence solutions, from requirements gathering through production deployment. Define and execute the AI and machine learning strategy, including use case prioritization, model lifecycle management, and Generative AI initiatives. Partner with Quantitative Research, Technology, and Product teams to develop, scale, and industrialize innovative AI and analytics capabilities. ...

quality, integrity and security across platforms and environments Collaborate closely with Data Scientists, Analysts and Engineering teams to enable advanced analytics and AI use cases Implement cloud best practices for performance, scalability and reliability Support the integration of AI‐drive MRO solutions into operational workflows Establish standards, frameworks ...

leverage their knowledge of AI to drive innovation in data engineering, analytics, and automation. Experience leveraging AI in development, analytics, or SDLC use cases is a critical enabler for this role. Job Responsibilities Lead technical initiatives across global analytics teams, providing guidance and direction to engineers, contractors ...

Domain experts, Business Scientists, AI Architects & Engineers, AI R&D, and AI Compliance & Governance Experts. With proven experience across 70+ clients and 100+ use cases, we deliver AI solutions tailored to diverse industries. Our unique IP includes over 50 technology accelerators, frameworks, and tools to fast-track ...

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 ...

business intelligence solutions, from requirements gathering through production deployment. Define and execute the AI and machine learning strategy, including use case prioritization, model lifecycle management, and Generative AI initiatives. Partner with Quantitative Research, Technology, and Product teams to develop, scale, and industrialize innovative AI and analytics capabilities. ...

business intelligence solutions, from requirements gathering through production deployment. Define and execute the AI and machine learning strategy, including use case prioritization, model lifecycle management, and Generative AI initiatives. Partner with Quantitative Research, Technology, and Product teams to develop, scale, and industrialize innovative AI and analytics capabilities. ...

Production practices, including source control, deployment pipelines, release management, testing, documentation and operational handover. Provide architectural input for AI, Copilot and advanced analytics use cases that depend on governed and trusted council data. Produce clear architecture diagrams, decision records, standards, roadmaps, options papers and recommendations for technical ...

uncover insights across the retail sales funnel. Collaborate with cross-functional teams including sales, retail operations, marketing, and product to define high-impact use cases and support data-driven decision-making. Analyze retail performance metrics, including store-level sales, conversion rates, inventory turnover, and customer segmentation. Identify ...