3 computer science jobs found

Job information Division/Unit: Integrity & Regulatory / Anti Match-Fixing Contract type: Permanent Location: Nyon (WFH up to one day per week) Start date: ASAP Main goal To protect football from match-fixing and safeguard the integrity of European football matches and competitions, UEFA's Anti-Match-Fixing unit works closely with the football family and broader sports community to promote integrity, raise awareness of the threat of match-fixing and identify, investigate and sanction any match-fixing offences. The Data Analyst, part of the Integrity and Regulatory Division and working within the Anti-Match-Fixing unit, identifies means of improving the unit's key processes and drives new efficiencies across all unit pillars. In addition to ensuring the quality and consistency of all unit data, they contribute actionable insights to multiple large-scale projects while serving as a trusted analytical partner within the unit and UEFA, supporting evidence-based...

Overview Major League Soccer is building advanced AI and data platforms to power fan intelligence, personalization, and data-driven decisioning across the organization.   The Principal AI/ML Engineer, Semantic Data will design and build the semantic intelligence layer that enables consistent understanding of fan data, business concepts, and operational workflows across MLS systems.   This role combines semantic data systems with applied LLM engineering to build grounded, production-grade AI capabilities.   This is a systems engineering role responsible for building and scaling real-world AI infrastructure, including knowledge graphs, retrieval systems, and LLM-powered applications.   Responsibilities AI & Knowledge Systems Development Design and implement embedding pipelines across fan data, content, metadata, and behavioral signals Build metadata and enrichment systems that normalize and structure enterprise data for...

We are seeking a creative and curious individual to join our team as a Data Scientist. In this role, the successful candidate will lead the design, development and validation of advanced models aimed at improving decision-making and supporting an evidence-informed predictive framework. The successful candidate will work closely with coaches, scouts, analysts and other stakeholders, translating complex data into key insights, developing interpretable and context-relevant models across medical, sports sciences, scouting, squad planning and performance analysis, contributing to the development of proprietary models that provide Sporting Kansas City with a sustainable competitive advantage. Sporting Kansas City is an equal opportunity employer. We celebrate diversity and equity and are committed to creating an inclusive environment for all associates. All associates are expected to positively collaborate with individuals of diverse backgrounds. We encourage all talented individuals...