JCDecaux UK Ltd

Overview The AI Business Analyst is responsible for identifying, shaping and supporting the delivery of AI enabled business change across JCDecaux UK. The role focuses on understanding business objectives and pain points, translating them into clear AI and data use cases, and working with technical teams to ensure successful implementation and adoption of AI solutions. Responsibilities Work with business stakeholders to identify opportunities where AI and advanced analytics can add value, and maintain an AI opportunity pipeline with value, risk and dependencies. Facilitate workshops, interviews and discovery sessions to elicit business problems, desired outcomes and success measures, turning them into well defined AI use cases and requirements. Elicit, analyse and document business, functional and non functional requirements, producing artefacts such as BRDs, user stories, process maps and data requirements for data and engineering teams. Assess feasibility, value and impact of AI initiatives, contributing to business cases and supporting prioritisation across the IT and transformation portfolio. Analyse "as is" processes and design "to be" AI enabled processes that embed models, decision support and automation in a controlled, measurable way. Define business data requirements, support data discovery and profiling, and contribute to documentation that improves data transparency and reuse. Support solution design, proofs of concept, pilots and business facing testing (including UAT and validation of model outputs), capturing feedback to refine solutions. Act as liaison between business units and technical teams, managing stakeholder expectations and communicating progress, risks and outcomes to all levels, including senior management. Support project and change management activities, including planning, RAID management, adoption strategies, training materials and user training for AI enabled changes. Define and monitor KPIs and success metrics for AI initiatives, review performance to identify optimisation opportunities, and contribute to continuous improvement of AI delivery practices and standards. Qualifications Degree in Business, Computer Science, Data Science, Engineering, Mathematics or a closely related discipline. At least 7 years' experience as a Business Analyst, ideally with direct involvement in AI, machine learning or advanced analytics projects. Strong experience in requirements elicitation, analysis, process mapping and documentation in complex, multi stakeholder environments. Proven experience working with data focused teams (data scientists, data engineers, analysts) and understanding their methods, tools and constraints. Familiarity with agile delivery methods (e.g. Scrum, Kanban) and tools such as Jira or Azure DevOps. Strong analytical and problem solving skills, able to quickly understand business domains, processes and data landscapes. Ability to translate complex technical and statistical concepts into clear, business friendly language for non technical stakeholders. Excellent communication, facilitation and stakeholder management skills, including running workshops and presenting to senior audiences. Desired but not essential Business analysis and/or project qualifications (e.g. BCS BA, IIBA CBAP/CCBA, Agile BA, PRINCE2, Scrum, PMI PBA). Training or certification in data analytics, AI or machine learning. Exposure to cloud based data and AI platforms (e.g. Azure, AWS, GCP) and BI tools (e.g. Power BI, Tableau). Experience supporting change management, training and adoption for technology driven initiatives. Experience in media, advertising or related sectors. We are committed to equal employment opportunities regardless of race, colour, ancestry, religion, national origin, sexual orientation, age, citizenship, marital status, disability or gender identity.

JCDecaux UK Ltd is seeking an AI Business Analyst to drive AI-enabled business changes. The role involves understanding business objectives, translating them into AI use cases, and working with technical teams on implementation. The ideal candidate has at least 7 years of experience as a Business Analyst and strong analytical and problem-solving skills. Knowledge of agile methods and data analytics is beneficial.

JCDecaux UK Ltd is seeking an AI Engineer to design and implement AI solutions including Copilot applications. This role involves collaborating with technology and business teams to enhance automation and manage complex workflows efficiently. The ideal candidate will have a strong background in AI, a degree in a relevant field, and experience in applying advanced technologies to improve service delivery. Familiarity with cloud platforms is essential.

The AI Engineer designs, builds and operates scalable, secure AI solutions for JCDecaux UK, with a focus on Copilot implementations and agentic AI that augment users and automate complex workflows. The role converts business and data requirements into production grade AI assistants, copilots and intelligent agents embedded into products, processes and decision making. Working closely with technology and business teams, the AI Engineer oversees solutions from experimentation through to deployment, optimisation and support, ensuring they integrate with JCDecaux UK's digital, data and technology landscape. The role supports JCDecaux UK's vision and mission by using advanced AI to pioneer real world communications and enhance client and consumer understanding. Reports to: Chief Innovation and Technology Officer What you'll be doing Design and implement AI copilots and agentic AI solutions that assist users, automate multi step tasks and orchestrate calls to internal tools and systems. Translate business use cases into Copilot scenarios, prompt flows, connectors and agent behaviours, defining secure, scalable solution architectures. Build and maintain AI components (e.g. RAG, classification, recommendation, summarisation) using Python and modern ML/LLM frameworks. Implement end to end MLOps pipelines for development, testing, deployment and monitoring of Copilot and AI solutions, and deploy them into production environments (e.g. Microsoft 365 Copilot, Azure, internal apps). Integrate AI agents with enterprise systems (e.g. CRM, ERP, scheduling, inventory, data platforms) via APIs and microservices. Collaborate with data engineers to design data pipelines, retrieval layers (vector stores, search indices) and large scale processing using big data frameworks. Implement monitoring, logging and analytics to track usage, performance, quality and user satisfaction, and lead optimisation to address issues such as drift, hallucinations and latency. Contribute to AI engineering standards, guardrails and best practices, and support incident investigation and resolution with Service Delivery. Ensure solutions comply with security, privacy, compliance and ethical AI requirements, including access controls, data protection and risk assessments. Share knowledge and mentor colleagues to build AI literacy and capability across IT and the wider business. A little bit about you Degree in Computer Science, Data Science, Software Engineering, Mathematics, Engineering or a closely related field. Previous experience in AI, data science, ML engineering or advanced analytics. Hands on experience designing, building and deploying Copilot and/or agentic AI solutions (e.g. Microsoft 365 Copilot extensions, Azure OpenAI based copilots, custom AI assistants/agents). Strong proficiency in Python for AI/ML development, including use of common ML and data libraries (e.g. TensorFlow/PyTorch, scikit learn, pandas, NumPy). Proven experience integrating AI services with enterprise systems via APIs and event driven architectures. Practical experience with LLMs, prompt engineering, RAG and tools/plugins for agents and copilots. Familiarity with cloud platforms (ideally Azure) and AI services (e.g. Azure OpenAI, Azure Machine Learning, or equivalents). Experience working in agile, cross functional delivery teams. Postgraduate study or certifications in AI, machine learning or data science. Cloud certifications (e.g. Azure, GCP, AWS) and relevant AI/ML credentials. Experience with big data and distributed computing (e.g. Spark, Databricks, Hadoop or cloud native alternatives). Experience with containerisation and DevOps/MLOps tools (e.g. Docker, Kubernetes, Git, CI/CD, MLflow, Airflow). Strong experience with data engineering concepts (ETL/ELT, data integration, warehousing, vector databases/search). We are committed to equal employment opportunities regardless of race, colour, ancestry, religion, national origin, sexual orientation, age, citizenship, marital status, disability or gender identity.

Within JCDecaux UK the role of Digital Infrastructure Support Analyst (DISA) provides the company with initial deployment, configuration, and support of network connected devices across the digital estate. The role is pivotal in ensuring that the digital network, on which our content player assets reside, is maintained in a reliable and consistent state. The DISA sits within the Digital Infrastructure team, part of the Service Delivery department. The role reports to the Digital Infrastructure Team Leader (DITL) and works closely with the Campaign Management department within the Commercial Sales division as well as Digital Support, Incident Management and Projects teams within the Technical Operations division. JCDecaux UK is a challenging and ever evolving company where improvements to processes, systems and working practices are continually strived for, and the role of DISA is crucial to both the division and wider company's success. What you'll be doing Issue management & support: improve systems by studying current practices, suggesting modifications to the DITL and Head of Digital Services (HDS) Prepare incident reports collecting, analysing and summarising information Implement router, switch, firewall etc firmware updates to the infrastructure estate Monitor large format digital network equipment e.g. video processors, etc. Analyse issues and incidents logged to the Service Delivery ticket system Support scheduling of digital campaigns and one off exceptional or unusual dynamic campaigns Highlight and escalatte concerns regarding physical/network security concerns to DITL for review and appraisal Stakeholder Management Communicates with project stakeholders at all levels Forges and strengthens relationships with the business Communicates issues and risks in projects to the DSSTL, HDS and SBA DIG Builds and sustains positive relationships with stakeholders, both internally and externally Technical Experience Working with digital out of home technologies (KIS, Broadsign, OneLAN, etc.) Experience with ticket systems (CONNECT for Service, Zendesk, etc.) Experience using Linux and Windows operating systems Quality Management Adhere to continuous improvement philosophy through examination of all outcomes of processes, positive or negative Ensure SOPs are followed and, where audits find non adherence, corrective actions are completed in a timely manner Personal Ability Listen, adapt and make suggestions Persuade and negotiate Make measured appraisal of risk in different situations Languages Fluency in English (required) Fluency in French (desirable) Qualifications Educated in a Business, IT or engineering related field or relevant industry experience with at least 4 years in a technology support function/role Working towards CMNO, CCNA or equivalent We are committed to equal employment opportunities regardless of race, colour, ancestry, religion, national origin, sexual orientation, age, citizenship, marital status, disability or gender identity.

JCDecaux UK Ltd is seeking a Digital Infrastructure Support Analyst (DISA) to manage the deployment and support of network connected devices. This pivotal role ensures the reliability of our digital network. The successful candidate will work closely with various departments, providing essential support and analysis to improve system performance. The ideal applicant should possess a relevant degree and at least four years in technology support. Technical skills required include experience with Linux, Windows operating systems, and stakeholder communication.