Physics-Informed AI Data Scientist — Industrial Systems

QuantumBlack, AI by McKinsey; Greater London; On-site; GBP 120,000 - 150,000; Full time

Job summary

QuantumBlack, AI by McKinsey London Munich seeks a senior researcher/engineer to lead technical workstreams in physics-informed machine learning and multi-physics simulations. You will develop surrogate models and digital twins, deploy production tools on HPC, and translate insights into strategic client recommendations.

The role is based in London or Munich, joining QuantumBlack Labs and the Robotics and Physical AI team.

Qualifications

• Advanced graduate degree (MS/PhD) in computational mechanics, materials science, mechanical/aerospace/nuclear engineering, computational physics, or related field; industry or national lab experience in applied simulation or scientific ML may apply.
• Demonstrated ability to develop high-quality engineering or scientific code in Python and/or C++.
• Fluency with statistical sampling, ML, and data science techniques.
• Simulation experience; PyTorch, ML/AI/Data Science a plus.
• Excellent organizational capabilities and ability to start and complete tasks independently.
• Proficient in data-driven decision making based on evidence.
• Ability to create work product-focused materials/output (PPT, Excel models, articles).
• Exceptional time management in a complex autonomous environment.
• Willingness to travel and work across varying environments.

Responsibilities

• Lead technical workstreams on client engagements across physics-informed ML and multi-physics simulation.
• Develop surrogate and ML models, deploy scalable production tools on HPC infrastructure.
• Build multi-physics simulation frameworks and digital twins.
• Translate computational insights into strategic recommendations and client solutions.
• Collaborate within QuantumBlack Labs and the Robotics and Physical AI team to accelerate growth.

Skills

Python

C++

Machine Learning

Statistics

Simulation

PyTorch

Time management

Data-driven decision making

Documentation

English proficiency

Education

MS/PhD in computational mechanics or related field

Tools

PyTorch

Job description

QuantumBlack, AI by McKinsey London Munich seeks a senior researcher/engineer to lead technical workstreams in physics-informed machine learning and multi-physics simulations. You will develop surrogate models and digital twins, deploy production tools on HPC, and translate insights into strategic client recommendations.

The role is based in London or Munich, joining QuantumBlack Labs and the Robotics and Physical AI team.