101 to 125 of 2,044 Use Case Jobs in the UK

operationally meaningful, and capable of adaptation across EMAP organisations. Main duties of the job Lead delivery of defined EM-ACE data science use cases, ensuring that outputs move beyond analysis into usable products, models or decision support tools. Develop, validate and document predictive, evaluative and advanced analytical methods ...

innovative and sustainable solutions to our clients. You will work closely with Data Analysts, Data Scientists, and cross-functional digital teams, supporting analytics use cases and occasionally contributing to light data-science activities such as feature engineering, exploratory analysis, or model operationalisation. Key Responsibilities : Develop concepts through ...

will involve**Building Data Applications** Developing modular and maintainable software components that process, transform and expose data for analytical, operational or AI driven use cases. You will follow strong engineering practices, with testing and observability built in from the start.**Streaming and Real Time Architecture** Designing and implementing ...

regulations (e.g., GDPR, Basel III, MiFID II). Drive adoption of Delta Lake , Apache Spark , and MLflow for advanced analytics and machine learning use cases. Provide technical leadership and mentoring to data engineers and analysts across financial domains such as risk, trading, and compliance. Establish best practices ...

Databricks, enabling non-engineers to define regulatory logic, and our Snowflake data warehouse, ensuring scalability, auditability, and fitness for client-facing regulatory use cases. You’ll be writing clean, maintainable, and well-tested code that follows best practices. As a senior member of the team, you will ...

goal of the roadmap is to maximise the efficiency, efficacy and quality of output across Client Development by codifying high-value AI use cases, creating repeatable prompts, assistants and agents, and scaling adoption through clear governance, playbooks, training and a human-in-the-loop approach. About the Role … Transformation Responsibilities Manage the outputs of the AI Working Group to codify agreed use cases and create a shared use case and prompt library that is easy for the team to access, maintain and apply. Project manage the creation of workflow-specific assistants and agents ...

rebuilding controls bespoke. Drive adoption of platform capabilities through clear documentation, enablement, and internal go‐to‐market, demonstrating measurable value to use case teams. Define and track product KPIs across AIE, and use insights for continuous improvement. Coordinate cross‐team dependencies, remove impediments, and align … takes to move models and AI applications from experiment to production. Outstanding stakeholder management and influence; builds trust through transparency and effective use of data; adept at resolving ambiguity and competing priorities. Deep partnership with Engineering; fluent in discussing technical trade‐offs with both technical and non‐technical ...

Data Enablement Officer to establish and lead Efficio’s data governance framework, helping us protect client data while enabling its responsible use across our services, analytics, products and AI capabilities. This is a highly visible role at the intersection of data, technology, AI, risk and client delivery. … clear data governance operating model and decision-rights framework Practical data, AI, security, reuse and retention policies Data and AI use-case assessment processes Risk-classification and escalation models Policy exception processes and decision registers Product and AI platform assessment standards Solution launch-readiness checklists Training, guidance ...

building data products in Microsoft Fabric and Databricks. You will work with Data Programme colleagues to turn priority sources into governed, use-case-ready data assets using agreed patterns, without duplicating enterprise platform responsibilities. You will join a small, hands-on multidisciplinary team working collaboratively across discovery … product use. Develop, compare and validate appropriate statistical and machine-learning models for classification, ranking, recommendation, forecasting, anomaly detection, similarity or extraction problems. Use NLP, embeddings and LLM-assisted techniques responsibly for classification, entity resolution, information extraction, clustering and relationship discovery across document-heavy data. Publish curated datasets ...

regulation (GDPR, post-cookie, AI Act) Turn ambiguous client challenges into clear, actionable roadmaps with defined milestones and measurable value Help clients build the case for investment — developing business cases that resonate at board level Design & Modernise Customer Data Architecture Lead the design and implementation of Customer Data Platforms … that prove the value of AI and data investments to the business Drive Product & Delivery Define and manage customer data products — use case prioritisation, roadmap development, KPIs, and iterative delivery Lead workstreams end-to-end, from discovery and design through to implementation and handover ...

regulation (GDPR, post-cookie, AI Act) Turn ambiguous client challenges into clear, actionable roadmaps with defined milestones and measurable value Help clients build the case for investment developing business cases that resonate at board level Design & Modernise Customer Data Architecture Lead the design and implementation of Customer Data Platforms … that prove the value of AI and data investments to the business Drive Product & Delivery Define and manage customer data products use case prioritisation, roadmap development, KPIs, and iterative delivery Lead workstreams end-to-end, from discovery and design through to implementation and handover ...

regulation (GDPR, post-cookie, AI Act) Turn ambiguous client challenges into clear, actionable roadmaps with defined milestones and measurable value Help clients build the case for investment — developing business cases that resonate at board level Design & Modernise Customer Data Architecture Lead the design and implementation of Customer Data Platforms … that prove the value of AI and data investments to the business Drive Product & Delivery Define and manage customer data products — use case prioritisation, roadmap development, KPIs, and iterative delivery Lead workstreams end-to-end, from discovery and design through to implementation and handover ...

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 ...

guardrails), and implement automated evaluation to improve quality over time. Build and maintain data pipelines and processing workflows required for ML/GenAI use cases using cloud services. Apply MLOps practices across the lifecycle: experimentation, versioning, CI/CD, deployment, monitoring, and maintenance for models/prompts/ ...

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. ...

design and implement solutions. Experience deploying AI/ML models to production systems in collaboration with engineering teams. Experience working with generative AI use cases, leveraging large language models (e.g., OpenAI GPT, Hugging Face Transformers) to solve real‐world problems such as text summarisation, chatbots, or content generation. ...

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 ...

guardrails), and implement automated evaluation to improve quality over time. Build and maintain data pipelines and processing workflows required for ML/GenAI use cases using cloud services. Apply MLOps practices across the lifecycle: experimentation, versioning, CI/CD, deployment, monitoring, and maintenance for models/prompts/ ...