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# AI & Data Science Executive Director

- **Company:** Hr Data & Analytics
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software Engineering, Multi-Agent Systems
- **Published:** October 1, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/ai-data-science-executive-director/49509563

## About the Role

warrantedEnsure conformance with all applicable controls, policies, and proceduresRequired qualifications, capabilities, and skillsSignificant experience in AI and Data ScienceDemonstrated success managing and leading teamsMaster's degree or PhD in a quantitative disciplineExpertise with modern artificial intelligence and machine learning algorithms, techniques, and software, applied to enterprise-scale solutionsHands-on experience with agentic engineering, including agentic coding tools, specification-driven or evaluation-driven development, or multi-agent orchestrationPractical experience with statistical data analysis and experimental designPractical software development experience in collaborative settingsExcellent communication skills and strong executive presence, with credibility as a thought leader and influencerStrong project management skills that drive execution and deliveryPreferred qualifications, capabilities, and skillsExperience of building automated
model-development or model-evaluation pipelinesExperience of delivering artificial intelligence and machine learning solutions within a regulated environmentTrack record of building partnerships across organizational, functional, and hierarchical boundariesExperience delivering self-service analytics platformsTrack record of patents or peer-reviewed publications #J-18808-Ljbffr

## Description

hypotheses through experiments, prototypes, and results that reach productionDevelop model factories and a high-bandwidth evaluation factory that create, calibrate, and improve models and agents against product benchmarksAdvance agentic, specification-driven, and evaluation-driven development, including multi-agent orchestration deployed responsibly in a regulated environmentTranslate models into insights that help reduce costs, expand capabilities, strengthen controls, and improve employee experiencesPromote reuse and partnership of techniques across the firm, and adopt vendor solutions where they add valuePartner with technology teams to architect scalable, cost-effective, enterprise-quality data and analytics systems, including self-service platformsAlign and prioritize research and development resources against the products that matter most and their measurable business impactCommunicate the significance of the team's work to senior leaders, and pursue patents or publications where