QuantumBlack, AI by McKinsey
Physical AI Data Scientist - QuantumBlack Labs
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Physical AI Data Scientist - QuantumBlack Labs
Join the Robotics and Physical AI Team in QuantumBlack Labs
Who You’ll Work With
You are the kind of person who thrives in a high-performance/high-reward culture—embracing challenging work, resilience, and curiosity. When you succeed, we invest deeply in your growth.
Here’s what you’ll gain upfront:
Continuous Learning & Growth
- Structured apprenticeship programs backed by mentorship and actionable feedback
- Fast-paced learning culture where you own your development journey
- Access to global experts who accelerate your growth faster than anywhere else
A Voice That Matters
- Your ideas are valued from day one
- Innovative solutions drive impact while upholding ethics and integrity
- Diverse perspectives are critical to shaping the best outcomes
Global Community
- Collaborate with 65+ countries and 100+ nationalities
- Learn from colleagues with diverse backgrounds
- Global solutions for global challenges
World-Class Benefits
- Competitive salary (based on location, experience, and skills)
- Comprehensive benefits for holistic well-being
Your Impact
As part of QuantumBlack Labs and the Robotics and Physical AI team in the Advanced Industries Sector, you’ll be at the forefront of building: ✅ Multi-physics simulation frameworks and digital twins ✅ Physics-informed machine learning and robotic applications in real-world engineering systems ✅ Scalable, production-grade tools for HPC infrastructure driving industrial innovation
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Key Responsibilities
- Lead technical workstreams on client engagements, including:
- Developing surrogate models and AI-driven solutions to replace costly simulations
- Reducing design cycles from weeks to minutes
- Enabling autonomy in robotic systems for factory floors
- Work with highly complex engineering datasets to develop scientific software products
- Write optimised code for internal tools (Python, C++, etc.)
- Collaborate with data scientists, engineers, and designers to drive breakthrough solutions
- Publish research, present at conferences, and shape the future of physical AI
Your Workplace
- Based in London or Madrid with global collaboration
- Multidisciplinary teams solving complex engineering challenges
- Reader, leader, and innovator—pushing boundaries in robotics and physical AI
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Your Qualifications & Skills
Essential
- Advanced graduate degree (M.S. or Ph.D.) in:
- Computational mechanics
- Materials science
- Mechanical/aerospace/nuclear engineering
- Computational physics, or a closely related field
- OR significant industry/national lab experience in applied simulation or scientific machine learning
- Proven technical ability to develop high-quality engineering/science code (Python/C++)
- Fluency in statistical sampling, machine learning, and data science
Strongly Desired
- Experience with PyTorch, simulation tools, and HPC environments
- Strong communication, organisational, and leadership skills
- Ability to adapt quickly, work autonomously, and collaborate across time zones
- Tech publications or conference presentations are a plus
This role demands resilience, intellectual curiosity, and a passion for driving real-world innovation—join us in shaping advancements at the cutting edge of physical AI.
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Jessica, London
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