76 to 100 of 960 Remote Use Case Jobs

and deploy AI and ML solutions, sharing best practices and learnings with other squad members. Effectively communicate data science & ML concepts to stakeholders, focusing on applicability to Fitch use cases Collaborate in developing and deploying ML & Gen AI solutions to meet enterprise goals and support innovation and experimentation. Collaborate with data scientists to identify innovative solutions that leverage … that leverage ML & Gen AI to meet enterprise requirements. Support production applications by helping maintain SLAs, using metrics to evaluate and guide the improvement of existing ML solutions Use AWS and Azure cloud services to provide the necessary infrastructure, resources, and interfaces for data loading and LLM workflows. Use Python and large-scale data workflow orchestration More ❯

building data solutions that support marketing analytics and measurement. You will be responsible for developing and maintaining robust data pipelines and infrastructure that enables machine learning and analytics use cases such as Marketing Mix Modeling (MMM), as well as the deployment of applications that surface insights to marketing end users. This role is ideal for someone who enjoys … this position. Core Responsibilities: Build and maintain reliable, scalable data pipelines for marketing and media data sources. Design and develop data marts to support reporting, modeling and analytics use cases. Lead the collaboration with data scientists and marketers to define and implement data requirements. Build and maintain infrastructure for the deployment of simple applications. Contribute to and drive More ❯

and deploy AI and ML solutions, sharing best practices and learnings with other squad members. Effectively communicate data science & ML concepts to stakeholders, focusing on applicability to Fitch use cases Collaborate in developing and deploying ML & Gen AI solutions to meet enterprise goals and support innovation and experimentation. Collaborate with data scientists to identify innovative solutions that leverage … that leverage ML & Gen AI to meet enterprise requirements. Support production applications by helping maintain SLAs, using metrics to evaluate and guide the improvement of existing ML solutions Use AWS and Azure cloud services to provide the necessary infrastructure, resources, and interfaces for data loading and LLM workflows. Use Python and large-scale data workflow orchestration More ❯

into scalable AI applications Building PoCs and prototypes to bring ideas to life Leading the implementation of AI models into production environments Working directly with clients to define use cases and iterate on solutions Collaborating with internal teams across data science, engineering, and product Documenting architecture and best practices for long-term value AI Solutions Consultant skills, traits More ❯

the data & analytics value chain. You will work with stakeholders at all levels of the organisation to assess the maturity of existing data capabilities, identifying opportunities for re-use and corresponding gaps in capability. You will overlay these findings against the strategic objective analytics to develop blueprints for an organisations operating model. You will work collaboratively with clients … are scaled within an organisation, from the design and build of small-scale proof of values transitioning to fully automated data analytics pipelines with advanced AI and ML use cases which serve thousands of customers An overview of the role You will be joining our rapidly growing Data & AI Strategy team within Capgemini Invent, where we are at More ❯

and objectives. Conduct detailed analysis of business processes, systems and data to identify opportunities for improvement and optimisation. Facilitate workshops and interviews to gather requirements, user stories and use cases. Analyse and document business processes, workflows and system interactions to ensure alignment with business goals. Translate business requirements into functional specifications and user stories to ensure clarity and … and problem-solving skills, with the ability to translate complex business needs into actionable requirements. Proficiency in business analysis techniques, such as process modelling & lean practices, use case development and requirements elicitation. Experience with Agile delivery and knowledge of methodologies and tools, such as Scrum, Kanban, SAFe 5.0, LeSS. Excellent communication and presentation skills, with the ability More ❯

to develop smarter processes, enhance decision-making, and foster a truly agile organisation. Key Responsibilities: Gather, document, and manage business and technical requirements, leveraging stakeholder interviews, use case development, and traceability management Model current and future state business processes, utilising data and AI-driven insights to inform system design and analysis Apply structured problem-solving techniques, critical More ❯

to develop smarter processes, enhance decision-making, and foster a truly agile organisation. Key Responsibilities: Gather, document, and manage business and technical requirements, leveraging stakeholder interviews, use case development, and traceability management Model current and future state business processes, utilising data and AI-driven insights to inform system design and analysis Apply structured problem-solving techniques, critical More ❯

development, including version control, automated testing, and peer reviews. - Stay up to date with emerging trends in AI and explore how Python can be leveraged to support AI use cases within the organisation. - Design and implement DevOps practices tailored for Python development, including version control, automated testing, continuous integration, and deployment processes to ensure smooth and efficient development More ❯

critical research workflows, accelerating solutions for some of the greatest health challenges we face. We work with some of the world's largest biopharma companies and institutions on use cases spanning Drug Discovery, Safety and Competitive Intelligence. You can read more about how we accelerate knowledge acquisition and improve decision making in our blog posts here: Blog - Causaly More ❯

delivery of Data Science initiatives. This is a highly collaborative role and you will have opportunities to work with a wide range of teams to identify value-adding use cases, including personalisation. Your work will play a crucial part in delivering seamless, personalised experiences to our customers. You will be working with large, rich customer datasets, using a More ❯

whilst maintaining quality standards. Collaborate closely with other team members and departments. Execute all levels of testing (System, Integration, and Regression). Analyse user stories and/or use cases/requirements for validity and feasibility. Mentor team members in an open, respectful, flexible and empathetic manner. Help team members overcome obstacles concerning their work. Detect and track … and able to work alongside strong personalities within the business. Strong technical, analytical and problem solving-skills. Ability to provide support and guidance to other team members. Desirable: Use tools such as Azure & SonorCloud to accurately report test coverage. Create automation test frameworks and build this into a CI/CD pipeline. Awareness of TDD (Test Driven Development More ❯

business processes, technical background to implement business solutions. Assist with stakeholder engagement sessions/workshops to elicit and document business and technical requirements. Capture/manage product specifications, use cases, and acceptance criteria in Application Lifecycle Management (ALM) tools. Identify new methods and technologies that meet the requirements of the system and make recommendations for modernization of the More ❯

dbt for data transformations and Kafka (or other streaming technologies) is a strong plus Proficiency in data modeling and designing scalable data architectures to support analytics and operational use cases Knowledge of data governance, security, and compliance best practices in cloud-based data platforms Excellent problem solving skills and attention to detail A passion for creating business value More ❯

to developing high-quality solutions. Responsibilities: Support, run, and iterate existing AI applications. Design, develop, deploy, and maintain new AI applications which can be scaled across multiple business use cases, driving operational and commercial outcomes. Trial and test solutions with end users to iterate and optimise them. Research and analyse data sets using a variety of statistical and More ❯

agent ecosystem: Stay current with developments in LLMs, agent orchestration frameworks, vector databases, RAG patterns, and API-based toolchains. Uncover opportunities: Work with stakeholders to identify high-value use cases for agent-based automation that align with business goals Design agent workflows: Architect secure, auditable agent pipelines including prompt engineering, tool invocation, memory, fallback handling, and safety protocols More ❯

dbt for data transformations and Kafka (or other streaming technologies) is a strong plus Proficiency in data modeling and designing scalable data architectures to support analytics and operational use cases Knowledge of data governance, security, and compliance best practices in cloud-based data platforms Excellent problem solving skills and attention to detail A passion for creating business value More ❯

IT groups. Identify and utilize opportunities for improvement. Facilitate discussions with various stakeholder groups using business analysis expertise. Provide project-level analysis by producing required documentation (business requirements, use cases, scope matrix, UAT plan, etc.). Key Skills and Experience: Previously worked as a Business Analyst Experience with KYC/Financial Crime Data analysis – proficiency with Microsoft Excel More ❯

dbt for data transformations and Kafka (or other streaming technologies) is a strong plus • Proficiency in data modeling and designing scalable data architectures to support analytics and operational use cases • Knowledge of data governance, security, and compliance best practices in cloud-based data platforms • Excellent problem solving skills and attention to detail • A passion for creating business value More ❯

such as tools that support analysis/detection and other emerging technologies. Gather forensic data and physical equipment, to perform in-depth root cause analysis. Support use case tuning through auditing and approval, alongside developing new detection content including machine learning analytics and Security Automation Orchestration and Response (SOAR). What are we looking for? Ability to More ❯

mid-level Data Engineer (2+ years' experience) who has worked with Azure and Databricks , and can contribute immediately across pipeline development, categorisation, and optimisation for AI/ML use cases. You'll work with diverse datasets spanning prepaid, financial services, gambling, and payments, supporting business-critical decisions with high-quality, well-structured data. While engineering will be your … flow within Databricks and contributed to its optimisation and reliability. Worked across raw and curated datasets to deliver categorised and enriched data ready for analytics and machine learning use cases. Provided support to analysts and financial stakeholders to validate and improve data accuracy. Collaborated with the wider team to scope, test, and deploy improvements to data quality and … Build and maintain batch and streaming pipelines using Azure Data Factory and Azure Databricks. Data Categorisation & Enrichment: Structure unprocessed datasets through tagging, standardisation, and feature engineering. Automation & Scripting: Use Python to automate ingestion, transformation, and validation processes. ML Readiness: Work closely with data scientists to shape training datasets, applying sound feature selection techniques. Data Validation & Quality Assurance: Ensure More ❯

Lead the implementation of AI/ML solutions and workflows across the product delivery team. Drive adoption of AI capabilities into core product features and go-to-market use cases. Partner with product leaders to prioritize and implement machine learning models. Ensure AI/ML systems are robust, explainable, and ethical. Who Are You? You are proficient in … routinely meet in the afternoon with US-based colleagues, but we rarely schedule meetings earlier than 8 am or past 6 pm local time. What equipment will you use? The position requires use of Macbooks and MacOS. We ensure you can work well from home by providing Macbook Pros, monitors, peripherals, and noise-canceling headphones. Where More ❯

performance and security. - Troubleshoot and resolve issues related to Elasticsearch clusters, indices, and ECE infrastructure. Design and Deployment: - Design scalable and efficient Elasticsearch solutions for Observability and Search use cases. - Implement best practices for data indexing, storage, and retrieval. - Work with stakeholders to understand requirements and translate them into technical solutions. Security, Privacy, and Compliance: - Implement and enforce … platform. Your Experience : - Extensive experience working with Elasticsearch, including ECE. - Strong understanding of Elasticsearch architecture, components, and APIs. - Experience with designing and deploying Elasticsearch for Observability and Search use cases. - Knowledge of security best practices and compliance requirements (e.g., GDPR, HIPAA). - Proficiency in scripting and automation (e.g., Python, Bash, Ansible). - Familiarity with cloud platforms (e.g., AWS More ❯

Product, Data, and Engineering stakeholders to align platform capabilities with business strategy. Define and execute the technical roadmap for the modern data platform, supporting analytics and machine learning use cases. Promote engineering best practices with a focus on maintainability, scalability, privacy, and performance. Champion data governance and observability practices, integrating privacy-by-design principles. Play an active role More ❯

is to extract and understand business change requirements, bring to life ideas, needs and proposals using a range of appropriate and targeted techniques. ,including: interviews; workshops; site visits; use cases; business task, process and workflow analysis Key Accountabilities and Responsibilities: • Interpret business and … marketing requirements into developmental tasks that the SCRUM teams use to guide the software development process. • Create business requirement specifications, SRS (system requirement specifications), use case lists and details, user stories and wireframes for complex use cases if needed. • Work closely with the key stakeholders, business functions and project, you will assist in … documenting these in a structured way which will form the platform for IT or external supplier analysis and system design. • Supported by the wider team you will also use your expertise to conceptualise software solutions to troubleshoot problems the company is facing. You may be required to assist PM's in facilitating project scope, estimation and planning. • In More ❯