Benjamin Mathiesen
Lead Data Scientist @Capgemini Engineering
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WORK HISTORY
Lead Data Scientist @Capgemini Engineering
Paris, FR
current) Program Manager - program oversight, project management, and design authority for multiple client projects in the domain of GenAI-empowered knowledge management.*(current) Solution Architect - building new methods and assets for Capgemini\'s \"augmented engineering\" offer, solutions that combine AI and GenAI with trusted AI, causal learning and structured knowledge.*(2024) Product Owner - Generative Engine, our internal GenAI platform to secure and deploy LLM usage by Capgemini Engineering consultants.*(2023) Global Capability Lead - Mapped our global Data & AI skill porfolio across 600 consultants and 10 geographical regions and delivered a knowledge graph to support executive decisions on project staffing, recruitment strategy and training investment.* Research director (internal innovation projects in GenAI, Trusted AI, and XAI)* Project manager, business analyst, and technical lead on numerous client projects, specialized in GenAI, NLP, XAI, knowledge graph, anomaly detection, and statistical modeling.* Executive consulting on data science strategy, data governance, and AI roadmap* Line manager and career manager
EDUCATION
Brown University
Bachelor’s Degree
Ecole Polytechnique Executive Education
Certification
University of Michigan
PhD
SKILLS
ABOUT BENJAMIN MATHIESEN
With 15 years in management and 25 years in data science, I have a strong track record of managing and delivering transformative and ethical AI projects in a variety of industries. At Capgemini I have led a variety of strategic programs to deliver scalable, hybrid solutions that combine the best attributes of traditional AI and GenAI, while maximizing value for customers, the business, and society.
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