26 to 50 of 2,860 Use Case Jobs

XP, Kanban. Can own the cloud infrastructure underpinning data systems through a DevOps approach. Design and implement efficient data transformation processes at scale, both in batch and streaming use cases. You are a skilled Data Engineer who has delivered data platforms. Knowledge of SOLID, DRY and TDD principles and how to practically implement these into a project. You … from our blog, where we talk about mental health, communities of practice and neurodiversity (as well as our client work and best practice). Like many organisations, we use Slack to chat to each other. The Slack groups that have formed give an idea of the diversity within Made Tech. If you’d like to speak to someone More ❯

to support the evolution of enterprise modern cloud data platform used for ingesting and processing large volumes of streaming and batch data sets to support analytical and AI use-case. As a key interface between the technical and business stakeholders, you will be responsible for translating data engineering, architectural and analytical requirements into detailed, actionable user stories with More ❯

Ops Engineer within our Chief Data Office, you’ll play a key role in advancing our data and technology strategy by enabling our cloud services for various business use cases. In this specialist role, you’ll work closely with data delivery and data science teams to enable AWS and Azure environments as required. You’ll support the setup More ❯

stakeholders. 5. Data Requirements Work with internal and customer teams to define precise data requirements Ensure data collection and modelling approaches align with key business objectives and analytical use cases. 6. Data Capture Perform data wrangling and data mining to prepare high-quality datasets for advanced modelling and analysis Proactively identify and resolve data capture issues, collaborating with More ❯

for stakeholders. Data Requirements Work with internal and customer teams to define precise data requirements Ensure data collection and modelling approaches align with key business objectives and analytical use cases. Data Capture Perform data wrangling and data mining to prepare high-quality datasets for advanced modelling and analysis Proactively identify and resolve data capture issues, collaborating with cross More ❯

Our data engineers create pipelines that support our data scientists and power our front-end applications. This means we do data-intensive work for both OLTP and OLAP use cases. Our environments are primarily cloud-native spanning AWS, Azure and GCP, but we also work on systems running self-hosted open source services exclusively. We strive towards a More ❯

agile tool), ensuring timely and high-quality deliverables. Advanced knowledge of state-of-the-art algorithms, with a demonstrated ability to match technique selection to complex domain-specific use cases. Demonstrated capability to optimize models for performance, scalability, and low latency in production settings, employing rigorous testing and iterative improvements. Experience leading or mentoring technical teams, providing guidance More ❯

The Solution Architect at Matillion plays a key role in securing the technical win and maximizing ACV with prospective enterprise customers. This role is responsible for qualifying customer use cases, demonstrating how Matillion’s solutions solve their challenges, managing software trials, and driving business value through the platform. The Solution Architect is a consultative and adaptable team player … desired future state, mapping it to success metrics and business outcomes. Support customer digital sales rooms, providing technical input and ensuring alignment between sales and technical teams. Qualifying Use Cases: Deliver tailored demos that align with business issues, decision criteria, and outcomes. Articulate how our platform solves customer challenges, differentiate against competitors, and verify with real-world proof … Identify and drive opportunities for upselling and expansion, ensuring customers realise value by increasing platform consumption through new workloads and groups. Marketing and Thought Leadership Create technical content and case studies that demonstrate how Matillion’s solutions address customer challenges. Represent Matillion as a technical expert at industry events, conferences, and user groups, fostering a strong brand presence. Product More ❯

needs and developing comprehensive data strategies aligned with business objectives, including governance and sourcing strategies as well as organisational structures that enable data democratisation. D&AI Use Case Development & Value Realisation : End-to-end advisory from identifying high-potential AI/ML opportunities to developing business cases, prioritising implementation roadmaps, and establishing ROI measurement frameworks to track … defining optimal organisational structures for the Data & AI functions either within a wider technology function or a business unit. Experience of helping organisations identify and prioritise high-value use cases for advanced analytics, machine learning and AI/GenAI. Strong understanding of data ecosystem components including data lakes, data warehouses, data mesh architectures, and associated architectural patterns. Strong … including model development, validation, and lifecycle management. Experience in data pipeline design, ETL/ELT processes, and data integration approaches and appreciation of trade-offs associated with specific use-cases and architectural choices. Knowledge of data visualisation good practices and experience in designing effective dashboards and reporting solutions for effective decision making. Familiarity with data product development methodologies More ❯

intersection of business needs and cutting-edge AI technologies, collaborating with multidisciplinary teams to turn complex challenges into smart, efficient solutions. YOUR TASKS: Develop end-to-end AI use cases, from business understanding to solution deployment. Quickly prototype AI-driven scenarios and user-facing features. Engineer effective prompts to optimize AI agent behavior and performance. Collaborate closely with … for AI projects. Stay up to date with AI and machine learning trends, experiment with emerging techniques, and incorporate relevant advancements into your projects. Contribute to use case definition in a co-creation mode with business and product stakeholders. HOW WE IMAGINE OUR FUTURE CONSULTANT? You hold at least a Bachelor's degree in Computer Science, Engineering More ❯

London – Senior Data Engineer, Consultant Ekimetrics UK Job Description About Ekimetrics Ekimetrics is a leader in data science and AI-powered solutions. Since 2006, we’ve pioneered the use of AI and data science applied to unified marketing performance, measurement and holistic business optimization aligned with sustainability goals. Our goal: Combine high-impact AI and data science solutions … data sets from multiple sources. 4+ years hands-on experience in key data management technologies, including Python but not limited to SQL, PySpark, Scoop, etc. Experience working on use cases for different file formats and database management systems including NOSQL databases Conceptual understanding of data management including governance processes and platforms, data visualisation, transformation in data-warehouses or … programs and learning opportunities. Opportunities for international mobility Regular socials and events Our recruitment process HR intro interview with a Talent Acquisition Specialist/Recruiter Peer-to-peer interview Case study interview Final in-person interview with a member of the management team Any questions please contact recruitment.uk@ekiemtrics.com At Ekimetrics, we believe our best assets are our people More ❯

countries on 6 continents. Roles & Responsibilities Implementing and maintaining solutions leveraging Azure-based cloud architecture; Maintaining solutions based on the traditional MS stack; Eliciting business requirements from use cases; Root cause analysis for raised issues, and delivering the resolution; Business-facing and building strong relationships with our key stakeholders; Collaborate closely with business stakeholders to understand their insights … needs and use cases as well as collaborate with the Analytics Engineering team to elicit requirements from insights use cases. Skills & Experience 5+ years’ experience working within a data function in a London Market Insurance; Sound understanding of data warehousing concepts; Contributions to well-designed data platform and data warehouse solutions ETL/ELTs – SSIS & T More ❯

legacy suite of cloud-based applications used by the Intelligence Community Chief Financial Officer to produce the annual budget. Responsibilities Work with end users to produce data analytics use cases based on business processes Support COTS product tailoring to demonstrate how use cases can be satisfied Provide hands on end user COTS support and mentoring. Become … Technical field (i.e. Computer Science, Software Engineering), or equivalent experience and minimum of 7 years of related work experience Desired: Experience tailoring data management products to meet defined use cases Experience implementing and deploying databases in Amazon Web Services (AWS)? Experienced with optimizing database performance through exhaustive proactive testing and ongoing real-time monitoring? Experienced in SQL scripting More ❯

build buy-in and support, lead engagement with key external stakeholders, including MoD, Government, DAIC Implementation Roadmap : Creating a detailed roadmap for AI adoption across a range of use cases, including timelines, necessary infrastructure, tools, and personnel Identifying Use Cases : Collaborating with business leaders to uncover and prioritize AI use cases with high business More ❯

build buy-in and support, lead engagement with key external stakeholders, including MoD, Government, DAIC Implementation Roadmap : Creating a detailed roadmap for AI adoption across a range of use cases, including timelines, necessary infrastructure, tools, and personnel Identifying Use Cases : Collaborating with business leaders to uncover and prioritize AI use cases with high business More ❯

support omnichannel campaign orchestration and the company’s personalization transformation. Stay current on new product features for existing Martech platforms and lead change management and adoption. Prioritize & Document Use Cases: Partner with the Senior Director of CRM and Consumer Strategy and other marketing leaders to identify and document critical use cases that require new capabilities. Identifies More ❯

of the following: Generative AI Design and develop RAG based applications LLM fine-tuning, including preparation of training sets from internal data Agent-based applications Evaluating use-case specific LLMs AI/ML Engineering NLP: Named Entity Recognition across a variety of unstructured data Evaluating and training BERT-like models such as GLiNER, NuNER for NER tasks … Analysing trade-offs between these models and LLMs for NLP tasks Relationship Extraction: Evaluating different models for use-case specific RE, such as ATG Document and text Classification Data Engineering Designing and implementing data pipelines for model training and inference Building scalable data processing systems Optimizing data workflows and storage solutions Implementing robust ETL processes Evaluate and … June 2025 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the ‘cover letter’ of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information More ❯

with IT Subject Matter Experts (SMEs) to align designs with enterprise architecture principles and security practices. Participate in business workshops to provide technical expertise and assess use case feasibility. Assist the D&A Product Manager in prioritizing the backlog in Azure DevOps (ADO) based on established demand criteria. Skills Strong analytical, conceptual, and problem-solving skills. Excellent More ❯

needed. Build and maintain strong relationships with customers, understanding their business challenges and providing tailored solutions. Data Science Expertise: Apply diverse data science techniques across multiple industries and use cases, including machine learning, data visualization, natural language processing (NLP), application development (e.g. Shiny), MLOps, and generative AI (GenAI). Develop and deploy advanced data science models and algorithms … Skills and Experience 5+ years of Data Science experience; Proficient in Python, R and SQL; Proven track record of applying diverse data science techniques across multiple industries and use cases; Experienced in leading and managing large customer engagements; Experienced in deploying workloads on Cloud infrastructure; Familiar with software development best practices; Extensive experience in machine learning, data visualisation More ❯

documentation. Execute Business Process Modelling (BPM). Execute Brainstorming and context diagramming with technical team members, system users, and other stakeholders. Work with developers and testers to write use cases. Facilitate working sessions with the technical team and/or stakeholders to understand gaps and requirements. Apply analytical techniques to gather information from users, define work problems, and … documentation. Experience working in an AWS Cloud environment and an understanding of AWS native tools. Experience working in Web Applications and vetting and documenting requirements for Web specific use cases and experience flows. Proven work experience as a business analyst or Product Owner. Education/Skills/Experience Requirements: Minimum of a Bachelor's degree in Computer Science More ❯

members, with 120 focused on business operations and 60 on IS and Data. Role Overview: In this role, you will join our "Data Team" to work on various use cases related to our Data Platform, including Financial Closing reports, Customer Business Reporting, Green Energy Reporting, and regulatory reporting. Key Responsibilities: Serve as a bridge between product owners, internal … Plan, organize, and execute functional testing, creating concrete test plans and participating in test execution. Tackle complex analytical challenges and provide data-driven insights to support business decisions. Use tools like SQL, Dataiku, and Python to gather and manipulate data. Create reports and visualizations using Power BI to communicate findings effectively. Prepare data products for transition to the More ❯

to support audience segmentation, personalization, channel optimization, lead scoring, and campaign measurement. Collaborative Development: Work closely with marketing strategists, data analysts, data engineers, and product owners to define use cases and deliver scalable solutions. Model Deployment & Monitoring: Deploy models using MLOps practices and tools (e.g., MLflow, Airflow, Docker, cloud platforms) ensuring performance, reliability, and governance compliance. Innovation & Research … Stay current on advancements in AI/ML and proactively bring forward new ideas, frameworks, and techniques that can be applied to marketing use cases. Data Strategy: Collaborate with data engineering teams to ensure the availability of clean, structured, and enriched data pipelines required for model training and inference. Required Qualifications Bachelor’s or Master’s degree in More ❯

quickly understand their greatest challenges and design and implement AI solutions. In this role, you'll apply your problem-solving ability, creativity, and technical skills to help organizations use AI to drive real impact in the world. You'll have the opportunity to gain rare insight into and contribute to some of the most important industries and institutions … level GPU stack up to infrastructure, back-end and front-end interfaces. • You'll work on deploying state-of-the-art AI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. • You'll work in collaboration with our researchers, other AI engineers, and product engineers on our most complex customer projects More ❯

changes, to final solution. • Interact with software suppliers, designers and developers to understand software limitations, deliver elements of system and database design, and ensure that business requirements and use cases are handled. • Configure and document software and processes, using agreed standards and tools. • Create acceptance criteria and validate that solutions meet business needs through defining and coordinating testing. More ❯

Create & maintain data pipelines using Airflow & Snowflake as primary tools Create SQL Stored procs to perform complex transformation Understand data requirements and design optimal pipelines to fulfil the use-cases Creating logical & physical data models to ensure data integrity is maintained CI CD pipeline creation & automation using GIT & GIT Actions Tuning and optimizing data processes Qualifications Required Qualifications More ❯