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# Physical Ai Data Scientist

- **Company:** Mckinsey U0026
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Engineering, C++ (Programming Language), Python (Programming Language), Machine Learning, Pytorch, Data Analytics
- **Published:** July 21, 2026
- **Apply:** https://es.trabajo.org/oferta-3206-520e9883319ffa80823500b9e7e62dc8

## About the Role

Experteer Overview In this role you will drive physics-informed AI workstreams for multi-physics simulations and digital twins, delivering measurable impact for engineering clients. You'll collaborate with global, multidisciplinary teams to build scalable tools and surrogate models that accelerate design cycles and enable autonomous systems. The position sits within QuantumBlack Labs and the Robotics and Physical AI team, focusing on cutting-edge physics AI capabilities that solve real-world industrial challenges. You'll grow as a technologist and leader through continuous learning and hands-on mentorship.Compensaciones / Beneficios - Lead technical workstreams on client engagements - Build multi-physics simulation frameworks and digital twins - Develop surrogate models and ML components for engineering systems - Apply physics-informed machine learning to real-world problems - Deploy scalable production tools on HPC infrastructure - Translate computational insights into strategic
client recommendations - Create outputs and artifacts (models, reports, presentations) for stakeholders - Collaborate with global, multidisciplinary teams to drive innovation and impact - Contribute to internal tools and scientific software products - Write papers or present findings to advance the physical AI communityResponsabilidades - Advanced graduate degree (M.S. or Ph.D.) in computational mechanics, materials science, mechanical/aerospace/nuclear engineering, computational physics, or related field - Proven ability to develop high-quality engineering or scientific code (Python, C++) - Fluency with statistical sampling, machine learning, and data science techniques - Simulation experience; PyTorch and ML/AI/Data Science is a plus - Excellent organizational skills and ability to self-start and complete tasks - Data-driven decision-making with strong reasoning - Ability to produce work-products like presentations, models, or reports - Excellent time management in a
complex, autonomous environment - Willingness to travel and work in varied environments - Strong written and spoken English and local language proficiencyRequisitos principales - World-class benefits - Competitive salary - Comprehensive benefits package - Global collaboration opportunities - Mentorship and apprenticeship culture - Career growth in leadership and technical excellence



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