is passionate about learning and applying data science in the fast-paced world of events and hospitality. What You’ll Do Event & Guest Data Analysis Analyse guest behaviour, ticketing trends, attendance, and feedback to extract actionable insights. Support marketing and sales with campaign and engagement performance metrics. Design and … personalised recommendations. Validate AI outputs and help improve algorithms using real-world feedback. Research trends in hospitality AI (e.g., dynamic pricing, sentimentanalysis) and test innovative approaches. Data Infrastructure & Governance Ensure accuracy and consistency of data across CRM, ticketing, and event platforms. Assist in standardising and centralising More ❯
quality data across systems, regularly performing cleaning and validation using tools such as Power BI. Lead the redevelopment of post-event sentimentanalysis, working with senior stakeholders to define meaningful KPIs and develop impactful insights. Prepare reports and presentations, including detailed evaluation packs and high-level summaries More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Method Resourcing
into Dynamics 365 to streamline workflows. Enhance CI/CD pipelines and support continuous integration and deployment. Leverage AI tools for sentimentanalysis, call transcriptions, and customer data insights. Collaborate with cross-functional teams to digitize processes, including customer onboarding and third-party integrations. Mentor colleagues and More ❯
to work independently and collaboratively Desirable: - Experience with Python or JavaScript for Lambda - Basic understanding of NLP (intent classification, entity recognition, sentimentanalysisMore ❯
