1 to 25 of 387 Use Case Jobs in London

modern data engineering tech stack and working knowledge of modern database (SQL, NoSQL) with Google Cloud Key responsibilities: Product knowledge transfer: Document existing product knowledge including use case, usage metrics, business processes, technical spec and documentation Document non-functional product knowledge Business analysis: Analyze AS-IS product landscape, use cases, business processes, and customer needs … Fulfil Product Manager responsibility during product development phase. Attend planning sessions, stand-ups, and Agile ceremonies Key skills/knowledge/experience: 8+ Years Experience Business use case analysis User interviews Stakeholder mapping Requirements documentation writing Working knowledge of software product development Working knowledge of Cloud Excellent verbal and written communication Proven agile development experience Experienced user More ❯

modern data engineering tech stack and working knowledge of modern database (SQL, NoSQL) with Google Cloud Key responsibilities: Product knowledge transfer: Document existing product knowledge including use case, usage metrics, business processes, technical spec and documentation Document non-functional product knowledge Business analysis: Analyze AS-IS product landscape, use cases, business processes, and customer needs … Fulfil Product Manager responsibility during product development phase. Attend planning sessions, stand-ups, and Agile ceremonies Key skills/knowledge/experience: 8+ Years Experience Business use case analysis User interviews Stakeholder mapping Requirements documentation writing Working knowledge of software product development Working knowledge of Cloud Excellent verbal and written communication Proven agile development experience Experienced user More ❯

identification and delivery of opportunities to apply Generative AI and Agentic AI tools across business and operational processes Collaborate with business stakeholders and technology partners to assess potential use cases for AI adoption and automation Support the implementation of AI-driven solutions within cloud or SaaS ecosystems Maintain awareness of emerging technologies, particularly around AI and digital transformation More ❯

identification and delivery of opportunities to apply Generative AI and Agentic AI tools across business and operational processes Collaborate with business stakeholders and technology partners to assess potential use cases for AI adoption and automation Support the implementation of AI-driven solutions within cloud or SaaS ecosystems Maintain awareness of emerging technologies, particularly around AI and digital transformation More ❯

new indicators and alternative datasets; formalise feature engineering and signal decay/robustness analysis; implement model risk controls , documentation, and reproducibility. Scale and commercialise proprietary metrics for investment use‐cases and new revenue lines (e.g., indices, APIs/subscriptions, data products). 2) Data Operations & Quality Control (Automation‐First) Work with systematic team and IT to automate ingestion More ❯

databases, and streaming data. Optimize performance, scalability, and cost efficiency of Databricks clusters and workflows. Collaborate with cross-functional teams to support analytics, machine learning, and business intelligence use cases. Implement data governance, lineage, and observability best practices using tools such as Unity Catalog, DataHub, or Collibra. Mentor junior engineers, fostering best practices in data engineering, testing, and More ❯

databases, and streaming data. Optimize performance, scalability, and cost efficiency of Databricks clusters and workflows. Collaborate with cross-functional teams to support analytics, machine learning, and business intelligence use cases. Implement data governance, lineage, and observability best practices using tools such as Unity Catalog, DataHub, or Collibra. Mentor junior engineers, fostering best practices in data engineering, testing, and More ❯

databases, and streaming data. Optimize performance, scalability, and cost efficiency of Databricks clusters and workflows. Collaborate with cross-functional teams to support analytics, machine learning, and business intelligence use cases. Implement data governance, lineage, and observability best practices using tools such as Unity Catalog, DataHub, or Collibra. Mentor junior engineers, fostering best practices in data engineering, testing, and More ❯

enable real-time analytics, and ensure robust data governance and quality frameworks. The engineer will collaborate with cross-functional teams to support AI/ML, GenAI, and IIoT use cases in manufacturing and industrial environments. Key Responsibilities Architect and implement cloud-native data pipelines on AWS or Azure for ingesting, transforming, and storing industrial data. Integrate data coming More ❯

Work closely with cross-functional teams — HR, IT, and Data Governance — to ensure data consistency and compliance with GDPR and privacy standards. Support HR reporting and workforce analytics use cases, including attrition, diversity, headcount, compensation, and talent management analytics. Key Skills & Experience: Technical Skills: Deep expertise in SAP Datasphere/SAP Data Warehouse Cloud Strong experience in SAP More ❯

Work closely with cross-functional teams — HR, IT, and Data Governance — to ensure data consistency and compliance with GDPR and privacy standards. Support HR reporting and workforce analytics use cases, including attrition, diversity, headcount, compensation, and talent management analytics. Key Skills & Experience: Technical Skills: Deep expertise in SAP Datasphere/SAP Data Warehouse Cloud Strong experience in SAP More ❯

world applications ⚙ Build and support AI pipelines — from data preprocessing to model deployment and monitoring 💬 Collaborate with cross-functional teams to integrate AI solutions into production environments 🔍 Explore use cases in NLP, computer vision, and generative AI using frameworks such as PyTorch, TensorFlow, and Hugging Face 🔒 Contribute to model governance, compliance, and responsible AI practices What’s in More ❯

analytics, and automation capabilities. • Cleanse, transform, and integrate data from oneAdvanced, legacy systems, and external data sources into central data platforms (EDW/Azure). • Implement machine learning use cases such as cashflow forecasting, working capital optimisation, fraud detection, and HR analytics. • Ensure compliance with GDPR, SOX, and internal governance when handling sensitive financial and HR data. • Support More ❯

masking, and policies/entitlement understanding Build and optimise ELT pipelines (using tools such as dbt, Airflow, Fivetran, or native Snowflake tasks) to support batch and real-time use cases Collaborate with Kubrick and client stakeholders to inform delivery planning, data strategy, and architecture decisions Promote engineering excellence through code reviews, reusable patterns, and contribution to Kubrick’s More ❯

masking, and policies/entitlement understanding Build and optimise ELT pipelines (using tools such as dbt, Airflow, Fivetran, or native Snowflake tasks) to support batch and real-time use cases Collaborate with Kubrick and client stakeholders to inform delivery planning, data strategy, and architecture decisions Promote engineering excellence through code reviews, reusable patterns, and contribution to Kubrick’s More ❯

. Develop robust pipelines for real-time and batch data ingestion from diverse and complex sources. Model and optimise data for performance, visibility, and downstream analytics/ML use cases. Champion best practices: CI/CD, TDD, GitOps, observability, schema validation, and data quality. Collaborate with data scientists and ML engineers to deploy production-grade AI/ML More ❯

. Develop robust pipelines for real-time and batch data ingestion from diverse and complex sources. Model and optimise data for performance, visibility, and downstream analytics/ML use cases. Champion best practices: CI/CD, TDD, GitOps, observability, schema validation, and data quality. Collaborate with data scientists and ML engineers to deploy production-grade AI/ML More ❯

with strong exposure to technical/projects ideally within a financial or regulatory environment Awareness of operating models (both current and target state) and how to develop and use them on projects/programmes Experience of working on complex projects and programmes involving broad-based business change Excellent stakeholder management at all levels; both internally and externally. Able … levels (high level to functional specifications) to a high quality within the standards set by the BA management team Experience of developing business processes using BPMN 2.0 and use of 'out of the box' thinking to challenge existing processes Strong exposure to gathering, analysing and accurately documenting business and solution requirements using a wide variety of techniques from … cases and data models Experience of providing both functional and technical expertise to the Technology teams in producing detailed requirements documentation (e.g. detailed process maps, use case specifications, wireframes, logical data models, traceability matrices) Experience of managing complexity and change and an awareness of the associated technical impacts to the organisation Proven experience of facilitating workshops More ❯

you will work closely with the customer to validate, and where needed, further uncover the customer's current and desired state alongside establishing key success criteria for their use of Productboard You will create and communicate a detailed onboarding and enablement plan with clear success milestones to drive toward attainment of first value for the customer You will … stakeholders needed for Productboard success You will develop an extensive working knowledge of Productboard products, services, and best practices. Be the trusted partner for customers on use-case and product functionality Advocate for the customer; Provide updates to internal cross-functional partners (Product Management, Product Development, Sales) on customer perspectives, risks, strategic insights, issue resolution activities, executive … customer-centric product management platform that helps organizations get the right products to market, faster. More than 5,400 companies, including Microsoft, Zoom, 1-800-Contacts, and UiPath, use Productboard to understand what users need, prioritize what to build next, and rally everyone around their roadmap.With offices in San Francisco, Vancouver, Dublin, Brno and Prague, Productboard is backed More ❯

global 3PD forums and strategy sessions Technical & Operational Excellence Perform advanced data profiling and analysis of third-party data sources to validate quality, coverage, and fitness for business use cases Capture and document metadata, data lineage, transformation rules, and business definitions for all external data sources in enterprise metadata repositories and data catalogs Develop and maintain technical specifications More ❯

global 3PD forums and strategy sessions Technical & Operational Excellence Perform advanced data profiling and analysis of third-party data sources to validate quality, coverage, and fitness for business use cases Capture and document metadata, data lineage, transformation rules, and business definitions for all external data sources in enterprise metadata repositories and data catalogs Develop and maintain technical specifications More ❯

Finance/Telecomm/LSH/Manufacturing/Retail domain. Prior experience in identifying new opportunities to optimize the business through analytics, AI/ML and use case prioritization. The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience in working with and fine More ❯

Finance/Telecomm/LSH/Manufacturing/Retail domain. Prior experience in identifying new opportunities to optimize the business through analytics, AI/ML and use case prioritization. The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience in working with and fine More ❯

analyse, and document business requirements. Translate business needs into clear and concise functional specifications. Facilitate workshops, interviews, and meetings to gather insights and drive alignment. Develop process models, use cases, user stories, and workflow diagrams. Work closely with product owners to prioritize requirements and manage backlogs. Support the development and testing teams by clarifying requirements and ensuring alignment More ❯

analyse, and document business requirements. Translate business needs into clear and concise functional specifications. Facilitate workshops, interviews, and meetings to gather insights and drive alignment. Develop process models, use cases, user stories, and workflow diagrams. Work closely with product owners to prioritize requirements and manage backlogs. Support the development and testing teams by clarifying requirements and ensuring alignment More ❯