
51 - 200 employees
Founded 2006
🤝 B2B
🏨 Hospitality
✈️ Travel
B2B • Hospitality • Travel
M&I is a global events organiser focused on the MICE (Meetings, Incentives, Conferences, Exhibitions) industry. It runs a calendar of curated, destination-based events and exhibitions that bring together vetted buyers and suppliers for high-quality, business-focused meetings, using AI-powered matchmaking and onsite support to minimise no-shows and maximise networking. M&I operates a variety of formats (Flagship, LUXE, Healthcare, Transatlantic, Expo) across major international destinations and is part of Worldwide Events Group Ltd.
🔥 1 minute ago
🇬🇧 United Kingdom – Remote
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
🤖 Artificial Intelligence
👻 Ghost score 12%
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51 - 200 employees
Founded 2006
🤝 B2B
🏨 Hospitality
✈️ Travel
B2B • Hospitality • Travel
M&I is a global events organiser focused on the MICE (Meetings, Incentives, Conferences, Exhibitions) industry. It runs a calendar of curated, destination-based events and exhibitions that bring together vetted buyers and suppliers for high-quality, business-focused meetings, using AI-powered matchmaking and onsite support to minimise no-shows and maximise networking. M&I operates a variety of formats (Flagship, LUXE, Healthcare, Transatlantic, Expo) across major international destinations and is part of Worldwide Events Group Ltd.
• Develop and maintain datasets, models and insights supporting AI agents and business decision-making • Consolidate, cleanse and structure information from Salesforce, event platforms, marketing systems and operational tools • Define data-quality, metadata and governance standards for Agent Factory information • Identify trends, risks and commercial or operational opportunities • Support secure, reliable data flows between approved systems and agent solutions • Create and maintain knowledge bases and retrieval structures • Support the design, testing and optimisation of RAG capabilities • Prepare evaluation datasets and test cases for agent outputs • Translate business data into reusable agent skills, tools and intelligence services • Monitor data-related failure patterns and recommend improvements • Design dashboards, scorecards and business-performance reporting • Define and track agent adoption, accuracy, time saved, operational impact and commercial value • Evaluate AI-agent and automation effectiveness and return on investment • Develop actionable insight for leadership and business teams • Establish repeatable methods for monitoring and communicating Agent Factory value • Support customer retention, buyer and supplier engagement, sales effectiveness, event performance and workflow improvement • Explore predictive and segmentation approaches • Turn analytical findings into recommendations, prioritised opportunities and next actions • Work with departments across WWE to understand data, reporting and insight requirements • Translate business questions into analytical work and practical data products • Present complex findings to technical and non-technical audiences • Promote responsible, evidence-led use of data and AI • Document analytical methods, data definitions and reusable assets • Occasionally work outside standard hours to support events or meet key deadlines • Report to the Head of AI Implementation
• Professional experience in data analysis, business intelligence, analytics engineering or a closely related role • Strong experience of data preparation, cleansing, modelling and quality assurance • Experience using SQL and visualisation tools such as Power BI, Microsoft Fabric or equivalent platforms • Experience working with CRM, customer, commercial or operational data; Salesforce experience particularly relevant • Ability to combine information from multiple systems and work effectively with APIs or structured data integrations • Strong understanding of KPI design, dashboarding and communication of actionable insight • Ability to translate complex evidence into clear business recommendations • Excellent problem-solving, critical-thinking and attention-to-detail skills • Strong communication and stakeholder-management skills • Sound understanding of data privacy, access control and responsible use of business information • Curiosity about AI, automation and practical application of emerging technology • Practical experience with RAG architectures, semantic search, vector databases or AI knowledge-management systems • Strong understanding of large language models, machine-learning concepts and agent evaluation methods • Proficiency in Microsoft Copilot Studio, Azure AI services or related Microsoft technologies • Familiarity with OpenClaw, Hermes or similar agent platforms • Track record of measuring AI, automation or digital-product performance • Knowledge of predictive analytics, propensity modelling, segmentation or recommendation systems • Understanding of marketing attribution, customer journey analytics or revenue analysis • Ability to design trusted data products or reusable analytical services • Background supporting AI transformation, digital transformation or cross-functional change programmes • Background in the events and/or travel industry
• Competitive Salary • 28 days' holiday plus UK bank holidays pro-rata, with additional days awarded for length of service • A centrally located London office with a summer terrace within walking distance of the world-famous Borough Market • Regular employee social events supported by the Happiness & Culture team • Monthly contribution towards Bupa private health insurance (post-probation) • Employee Assistance Program offering confidential wellbeing support • Enhanced maternity and paternity leave • 4 pm Friday finish
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