Daniel S Moore
Senior Lead Data Scientist @Liberty IT
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WORK HISTORY
Senior Lead Data Scientist @Liberty IT
Belfast, GB
Senior Lead Data Scientist in Liberty IT’s Emerging Business Technology group, leading strategic AI initiatives across the data science capability and wider Liberty IT Own and drive Liberty IT’s data science strategy and roadmaps, aligning initiatives with business priorities and STPs. Lead complex, cross-functional projects in GenAI, NLP, computer vision and predictive modelling, delivering multi‑million value outcomes. Set and champion high‑performance data science and MLOps practices. Design complex data science architectures adopting innovative solutions across diverse insurance value chains. Lead and maintain a high‑performance data science culture across the capability, overseeing a team of approximately 30 data scientists. Partner with senior leadership in product, design, engineering, architecture and innovation to triage demand, shape solutions and tell a clear value story. Drive innovation and research in GenAI and multi-modal modelling, translating emerging methods into reusable patterns, enterprise guidance & state of the art technical solutions.
EDUCATION
Queen's University Belfast
Doctor of Philosophy - PhD, Computational Biophysics and Drug Design
Queen's University Belfast
Bachelor of Science - BS, Human Biology
Queen's University Belfast
Master of Science - MS, Computational Biology
ABOUT DANIEL S MOORE
Senior Lead Data Scientist leading enterprise AI and data science initiatives across GenAI, NLP, computer vision and predictive modelling. My career in data science, analytics & research has spanned insurance, biophysics, cancer genomics, drug discovery, emotional recognition and human health from biometric wearables.In my current role, I shape data science strategy, lead complex multi‑disciplinary engagements and maintain a high‑performance data science culture across a capability of around 30 data scientists. This includes defining data science roadmaps, partnering with senior leaders across product, engineering, architecture and innovation, and turning emerging research into production‑grade GenAI and ML solutions.I have led initiatives such as Agentic AI pipelines in underwriting, RAG Q&A for large corpus documents, ESG insights, portfolio analysis using multi-modal modelling and established new capabilities and partnerships across a large, global organisation. Alongside delivery, I contribute to MLOps standards, drive data literacy and knowledge‑sharing initiatives, and mentor Principal and Lead Data Scientists.
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