1 to 25 of 237 Permanent Use Case Jobs in London

customer journeys that create long‐term, recurring revenue for Acuity. Design compelling engagement models that move clients from strategy and use‐case envisioning through PoCs, MVPs and scaled product engineering, and into ongoing managed services where appropriate. Shape delivery journeys that intelligently leverage onshore, nearshore and offshore … data platforms, and related technologies. You don’t need to be a hands-on data scientist, but you should grasp AI use-case envisioning, data governance considerations, and the principles of deploying AI at enterprise scale (e.g. AI factory/centre of excellence approaches). Familiarity with ...

enterprise Data & AI strategy aligned to the sponsor’s value-creation plan and management priorities. Translate business goals into a quantified use-case roadmap with benefits cases, milestones, and owners. Establish KPI reporting tied to realised outcomes (not “activity metrics”). Data Platform & Architecture Lead the evolution … manufacturing, supply chain, logistics, FMCG/CPG, food production, or adjacent asset-heavy sectors. Demonstrable ability to create a prioritised AI use case portfolio, deliver at pace, and embed solutions operationally. Strong grasp of modern data stack principles (cloud data platforms, integration, governance, MDM, analytics engineering, MLOps ...

with data scientists to productionise models, pipelines, and analytical workflows. Designing data models, pipelines, and query strategies to support performant analytics and reporting use cases. Ensuring data quality, integrity, and observability across systems. Delivery & Engineering Excellence Taking ownership of features from design through to deployment and ongoing iteration. ...

with data scientists to productionise models, pipelines, and analytical workflows. Designing data models, pipelines, and query strategies to support performant analytics and reporting use cases. Ensuring data quality, integrity, and observability across systems. Delivery & Engineering Excellence Taking ownership of features from design through to deployment and ongoing iteration. ...

solutions. Implement and integrate large language models (LLMs) , including: Utilising both proprietary and open-source models Fine-tuning models to meet specific business use cases Delivering solutions via APIs, such as OpenAI APIs Collaborate closely with product managers, data scientists, and engineering peers to shape technical designs ...

guide junior and senior data scientists, fostering a high-performance, collaborative team environment Model Development & Deployment Develop and deploy machine learning models for use cases such as: Fraud detection Credit risk modeling Customer segmentation and personalization Forecasting and optimization Ensure models are scalable, explainable, and production-ready Work ...

engineering, enabling scalable, secure, and automated migration and ingestion of enterprise data. Building a foundation for enabling scalable machine learning and AI-driven use cases (MLOps) is the ultimate goal. Key Responsibilities · Own and evolve the AWS/CDP architecture for data migration, ingestion, feature engineering and downstream ...

data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise. Design and implement reusable, scalable, and well-documented data workflows that ingest, transform, and curate data within Palantir Foundry, enabling ...

preferred; Azure or GCP equally welcome. Familiarity with GDPR, consent management and data governance in a marketing context. Exposure to AI/ML use cases applied to customer data — personalisation models, churn prediction, LTV, next-best-action decisioning. Why this role matters This client ...

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 ...

ready datasets Working closely with data architects, analysts, and non-technical stakeholders Creating well-modelled datasets to support Power BI and wider analytics use cases Improving data quality, validation, monitoring, and performance Ensuring data is handled securely and in line with GDPR and best practice Helping ...

across all datasets Partnering with Product and commercial teams on data initiatives and client data onboarding Supporting analytics, BI and AI/ML use cases with well-structured, documented and reliable data models You 5+ years' experience in data engineering or data platform roles Strong hands-on experience ...

automated, and scalable delivery of data and machine learning pipelines, supporting everything from core reporting and systems integration through to customer-facing AI use cases. You will work closely with Data Engineering, ML Engineering, and Analytics teams, acting as both a hands-on technical leader and strategic enabler. ...

enterprise data warehouse design methodologies, including Inmon, Kimball, and Data Vault 2.0, with strong judgement on selecting the appropriate approach for each use case. Technical Skills Expert‐level SQL and Python, with hands‐on experience using dbt (data build tool) or comparable transformation and orchestration frameworks. Cloud ...

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 will set technical direction, drive standards, and ensure high-quality execution across the team. You’ll join at a pivotal stage ...

Data Modelling & Analytics Enablement Design analytical data models that are performant, maintainable, and business-friendly Apply dimensional modelling techniques for BI and reporting use cases Build and optimise Power BI semantic models and datasets Microsoft Data Platform Contribute to the evolution of a modern Azure/Microsoft data ...

data visualisation tools (e.g. Power BI, Tableau) Familiarity with metadata management and governance tools (e.g. Purview, Collibra, Informatica) Exposure to AI/ML use cases in analytics Background in financial services or other regulated industries What’s on Offer Opportunity to work on large-scale, high-impact data ...

Role Design, build and own end to end data pipelines supporting real time and batch analytics Work on high volume, low latency data use cases with a strong focus on reliability and scalability Develop production grade data solutions using software engineering best practices such as CI/ ...

operations, ensuring alignment between business goals and programme execution. Key Responsibilities Lead and deliver complex programmes spanning data platforms, AI/ML use cases, and retail systems Define programme roadmap, governance, and delivery frameworks across multiple workstreams Translate strategic objectives into actionable plans with clear milestones and measurable ...

creation, documentation, and refactoring) with appropriate guardrails around security, correctness, and maintainability Enable integration with AI platforms by shaping data products for AI use cases and defining patterns for secure access to enterprise data System of Record and Analytical Platform Boundaries Define consistent patterns for how Systems ...

strong engagement and measurable business value. Act as the primary business interface for CRM: partnering with Partners, Directors and central teams to understand use cases and translate them into prioritised user stories . Lead training, change and adoption programmes , driving consistent usage and best practice across the firm. ...

first dedicated data engineering hires, you'll help build trusted, scalable data pipelines that power reporting, analytics, and future AI use cases. £60,000 What you'll do Build and maintain data pipelines integrating CRM, HR, Finance, and other enterprise systems Transform raw data into clean, analytics-ready ...

teams. The Role Build and fine tune LLMs and NLP models for analytics and conversational products. Apply mathematical and quantitative thinking to financial use cases. Develop ML pipelines, model evaluation processes, and production ready code. Work with engineers to deploy models in AWS. Support and guide mid level ...

logical, and physical data models across enterprise data domains. Ensure data platforms support enterprise analytics, Power BI, AI/ML, and real-time use cases. Architect secure, scalable, and cost-efficient cloud-native data solutions on Azure, leveraging Fabric-native capabilities. Embed data governance, lineage, metadata, and quality ...

Mastery of Data Warehouse design methodologies - Inmon, Kimball, and Data Vault 2.0 - with the judgement to apply the right pattern for the right use case. Technical Skills: Expert SQL and Python; hands-on experience with dbt (data build tool) or equivalent transformation frameworks. AWS Integration : Solid understanding ...