Jacob Chapman
Data Science Manager @High 5 Games
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WORK HISTORY
Data Science Manager @High 5 Games
Lead the company’s AI and Data Science function, driving innovation through large-scale machine learning, LLMs, and generative AI solutions across fraud prevention, marketing, and playerengagement. Partnered directly with the CEO and executive leadership to dene the organization’s AI strategy and roadmap, aligning investments with growth and automation objectives.• Strategic AI Vision: Dened and executed an enterprise AI strategy integrating LLM-poweredautomation and predictive analytics, directly supporting company-wide digital transformation.• Operational Impact: Built real-time AI systems monitoring every customer interaction, enabling predictive interventions that increased retention and prot.• Scalable Architecture: Deployed models on Vertex AI, BigQuery, and Cloud Run, establishinga modular MLOps pipeline to support both traditional ML and LLM-driven services.• Leadership: Manage and mentor a 10-person cross-functional team of ML engineers, datascientists, and analysts, fostering innovation, experimentation, and AI literacy across theorganization.
EDUCATION
University of Nottingham
Bachelor of Science (BSc), Computer Science and Management Studies
University of Nottingham
Doctor of Philosophy (Ph.D.), Engineering
SKILLS
ABOUT JACOB CHAPMAN
Visionary AI leader with 10+ years’ experience delivering measurable business impact through machine learning, large language models, and data-driven transformation. Proven success defining and executing enterprise AI strategy, leading cross-functional teams, and partnering with C-suite executives to embed AI capabilities across products and operations.Expert in scaling LLMs, generative AI, and predictive systems for personalization, fraud prevention, and customer engagement. Adept at balancing innovation and governance — ensuring AI initiatives deliver commercial value, resilience, and ethical compliance. Known for building high-performing AI teams, deploying production-grade systems on GCP and AWS, and transforming manual operations into AI-augmented decision ecosystems.
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