23 of 23 Use Case Jobs in the North West

promote best practices around data architecture, governance, security, and quality Develop and optimise ETL/ELT processes to support reporting, analytics, and AI use cases Partner with data scientists and process engineers to productionise machine learning models and large language models Ensure data platforms are performant, cost-effective ...

following: Designing and building scalable ELT and ETL pipelines across a cloud environment. Developing curated data models to support analytics, reporting and operational use cases. Improving performance, cost efficiency and reliability of the cloud data warehouse. Embedding data quality, observability and governance controls. Providing guidance and mentorship ...

role will involve coordinating projects across areas including: Data engineering and data infrastructure Pricing and post‐purchase analytics AI and forecasting (including LLM use cases) Reporting and business intelligence API and integration work across multiple platforms and services What you’ll do Own end‐to‐end delivery ...

data supports business and product outcomes Comfortable collaborating across Data, Engineering, and Product in a fast moving environment Exposure to ML or analytics use cases, including preparing data for modelling or experimentation, is highly beneficial What They Offer Clear scope for progression as the data platform and team ...

manage data ingestion pipelines that feed into their cloud data warehouse. Build and maintain pipelines that prepare data for machine learning and analytics use cases. Restructure/improve existing datasets to ensure they are reliable, performant and ML-ready. Work closely with Data Science and Platform Engineering ...

testing and iterative development Take responsibility for shipping features, not just defining them Customer & Market Impact Engage directly with enterprise customers to validate use cases and gather feedback Prioritise features based on customer value, revenue impact and AI feasibility Support go‐to‐market planning and readiness Working Environment ...

Fabric, ensuring scalability and long-term maintainability. Integrate Machine Learning and AI capabilities into the wider data ecosystem to support predictive and generative use cases. Provide Technical Leadership & Delivery Assurance Produce roadmaps, architecture artefacts and platform documentation to guide engineering teams. Support key architectural decisions and ensure best ...

escalation of security incidents Coordinate closely with Cyber Operations and Incident Response teams to contain and mitigate threats Develop and enhance detection use cases, tooling and operational processes Provide subject matter expertise on threat analysis and detection engineering Drive continuous improvement across people, processes and technology Support operational ...

stack Proven experience with GCP, BigQuery, dbt, and ELT tools such as Fivetran or similar Solid data modelling capability for analytics and reporting use cases Hands-on experience with infrastructure as code, particularly Terraform Comfortable working in scaling environments with evolving data maturity Able to communicate clearly with ...

evolve at pace. Interim IT Director Responsibilities: - Conduct a full review of existing processes, workflows and inefficiencies across the business - Identify practical AI use cases using general tools such as Microsoft Copilot - Develop a prioritised AI opportunity roadmap with clear ROI - Deliver measurable 'quick wins' within the first ...

programme. You'll be working on the design and development of robust data processing systems that underpin analytics, data science and machine learning use cases. This role offers the chance to work on complex data platforms while collaborating with data scientists, engineers and stakeholders in a highly skilled ...

data platform evolves, strengthening analytics capabilities and maturing data engineering practices. You will ensure the business can continue to scale its use of data without compromising quality, governance or performance. Data Team Lead Skills Proven experience leading and developing high-performing, collaborative data engineering teams Strong background working … relational or semi-structured data sources Understanding of modern data modelling for analytics and reporting Awareness of machine learning workflows or advanced analytics use cases Understanding of networking, security and access control within AWS or Azure Awareness of data governance and regulatory requirements (including GDPR) Experience & Behaviours Significant ...

structured design principles, and best practices Conduct unit testing and support debugging and issue resolution Create and maintain technical documentation (e.g. use case diagrams, workflows) Collaborate with internal teams and contribute in meetings with progress updates Produce clean, maintainable code and support continuous improvement of development processes ...

experience as a Business Analyst in similar roles. Strong ability to deliver Business and System Process Maps (UML), User Stories, and Use Case Diagrams. Experience in developing a thorough MoSCoW and Business Requirements Catalogue. Skilled in designing Test Cases/Scenarios. Ability to support the development ...

product strategy into detailed requirements for prototyping and final development by engineering teams Create product strategy documents that describe business cases, high-level use cases, technical requirements, revenue, and ROI Analyze market data to develop sales strategies, and define product objectives for effective marketing communications Collaborate closely with ...

enablement materials Partner with marketing to ensure technically accurate and commercially impactful campaigns Turn product capabilities into clear user value and real-world use cases Work with data teams to develop insight-led content and define meaningful metrics Feed market and customer insights back into the product roadmap ...

enablement materials Partner with marketing to ensure technically accurate and commercially impactful campaigns Turn product capabilities into clear user value and real-world use cases Work with data teams to develop insight-led content and define meaningful metrics Feed market and customer insights back into the product roadmap ...

secure and aligned with enterprise data strategy. Architect cloud-native data pipelines and data models to support enterprise analytics, BI, reporting and AI use cases. Work closely with technical and business teams to translate requirements into robust, production-ready data solutions. Build & Optimise Fabric Data Pipelines Design … tuning, partitioning strategies, indexing, caching and incremental processing. Define and enforce data engineering standards, governance models, naming conventions and documentation. Ensure cost-efficient use of Fabric capacity, optimising compute utilisation across workloads. Technical Leadership & Collaboration Act as a technical authority for Microsoft Fabric, championing best practice and platform ...

Azure Platform. Key Responsibilities Lead the design and build of robust, high-performance services for underwriting, claims, and risk-modelling use cases. Write clean, maintainable TypeScript code and champion best practices across projects. Architect, implement, and optimize Azure-based solutions, with strong focus on Containers and App Services …/Functions. Use Databricks for data modelling, transformation, and advanced analytics. Build and maintain CI/CD pipelines using Azure DevOps for seamless, reliable deployments. Apply cloud security best practices and optimize Azure environments for cost, performance, and compliance. Mentor developers, conduct code reviews, and foster a culture ...

Tesco, Sainsbury's, O2, Halifax, AA, Saga and Lloyds Bank to list a few. Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models … bespoke modelling. Such work would include risk classification, such as area or vehicle classification, as well as predictive models for other business use cases such as conversion, retention or price optimisation Prototype ML solutions before handing to the ML team for implementation Conduct more advanced yet focused research ...

across paid media, content, CRM, and creative - reducing manual production time without sacrificing brand quality Own the prompt engineering layer across all marketing use cases: ad copy, product descriptions, email sequences, briefs, and UGC frameworks Integrate AI tooling into the existing martech stack and ensure adoption across … Claude, Gemini) with a track record of production-grade outputs Hands-on with automation platforms: n8n, Make, or Zapier, connected to real marketing use cases Comfortable working across paid, email, content, and creative - you understand the full funnel Able to translate marketing briefs into technical workflows without hand ...

move towards streamlined processes, joined-up data, and genuinely intelligent digital services. From low-code automation and cloud integration to exploring practical AI use cases, youll have the space and backing to experiment, innovate and deliver real impact. Working within our Digital, Data and ICT team, youll collaborate … Because this role is new, youll play a key part in shaping how it operates - setting standards, defining approaches, and influencing how we use emerging technologies across the organisation. If youre excited by greenfield work, modern platforms and meaningful outcomes, this is a rare chance to make ...

outcomes across pricing, underwriting, marketing, and customer performance Embed a data‐led, test‐and‐learn culture, replacing intuition with insight Deliver practical AI use cases that create real business value Enable self‐serve analytics and reduce reliance on manual reporting Lead insight generation to support strategic and executive … Clear reduction in manual and fragmented reporting Delivery of commercially impactful insights linked to revenue, margin, or cost efficiency At least two AI use cases live in core business areas Data visibly influencing pricing, marketing, and customer strategy Foundations in place to scale data capability through future acquisitions ...