
Job Overview
Location
Work From Home - UK
Job Type
Full-time
Category
Data Science
Date Posted
June 14, 2026
Full Job Description
đź“‹ Description
- • Lead the design and evolution of scalable data, analytics, and AI platforms that support customer operations, automation, and operational intelligence across global markets.
- • Architect and optimize Databricks-based data pipelines and enterprise data platforms that unify customer, operational, workforce, and AI datasets into trusted intelligence solutions.
- • Drive the development of machine learning, NLP, Generative AI, and operational intelligence capabilities that improve customer experience, operational efficiency, and automation performance.
- • Deliver actionable insights and executive-level reporting that inform strategic decision-making and identify opportunities for operational improvement.
- • Establish engineering standards, governance frameworks, and best practices for data quality, platform reliability, CI/CD, and AI lifecycle management.
- • Partner across Product, Operations, Engineering, and AI teams to align technology investments with business objectives and long-term strategy.
- • Provide technical leadership, coaching, and day-to-day guidance to engineers and data scientists, supporting professional development, delivery excellence, and adoption of best practices across data, analytics, and AI initiatives.
- • Design and implement scalable dashboards and reporting solutions using BI tools and modern visualization frameworks.
- • Apply deep expertise in statistics, machine learning, NLP, forecasting, and operational analytics to solve complex business problems in customer support ecosystems.
- • Implement CI/CD frameworks, version control, automated testing, and DevOps best practices for data and AI systems.
- • Develop and refine conversational AI ecosystems including intent modeling, NLU analytics, and AI performance measurement.
- • Independently lead complex, high-visibility initiatives with competing priorities and cross-functional dependencies.
- • Communicate technical concepts clearly to technical and non-technical stakeholders, building trust and fostering collaboration.
- • Champion scalable solutions, standards, and best practices that enhance organizational capability and operational excellence.
- • Foster a culture of accountability, collaboration, and continuous improvement through mentorship and technical guidance.
🎯 Requirements
- • Strong experience designing scalable data platforms, enterprise data architectures, and Databricks-based operational intelligence solutions.
- • Proven experience as a Data Engineer, Analytics Engineer, Data Scientist, Machine Learning Engineer, AI Engineer, or related technical leadership role.
- • Strong experience with Databricks, Spark, cloud data platforms, and enterprise-scale data pipelines.
- • Experience developing AI/ML solutions using Python and modern data science frameworks.
- • Deep understanding of conversational AI ecosystems, intent modeling, NLU analytics, and AI performance measurement.
- • Experience implementing CI/CD frameworks, version control, automated testing, and DevOps best practices.
🏖️ Benefits
- • Permanent contract terms with long-term career stability.
- • Remote work environment based in the United Kingdom.
- • Opportunity to work at Ticketmaster, the world’s largest ticket marketplace and global provider of enterprise tools for live entertainment.
- • Inclusive culture that encourages bringing your whole self to work and supports work-life balance.
- • Professional development opportunities with access to talented teams and leadership.
- • Participation in a company guided by values of Reliability, Teamwork, Integrity, and Belonging.
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Live Nation Entertainment, Inc.
Live Nation Entertainment is a global live-events company formed by the 2010 merger of Live Nation and Ticketmaster. It operates through three segments: Concerts, which promotes live music shows and festivals; Ticketing, which sells tickets via Ticketmaster and other platforms; and Sponsorship & Advertising. The company owns or manages hundreds of venues worldwide and books thousands of artists annually, making it the largest promoter and venue operator in the industry.
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