Physics‑Driven AI Data Scientist for Industrial Systems

McKinsey; Greater London; On-site; GBP 90,000 - 150,000; Full time

Benefits offered by this job

Global community

World-class benefits

Job summary

McKinsey's QuantumBlack Labs in London (or Munich) is seeking an advanced specialist in computational physics and ML. You will lead technical workstreams, build multi-physics simulations and digital twins, and develop surrogate models to accelerate client problem solving.

Join a team of engineers, scientists, and ML experts focused on translating computational insights into strategic client recommendations, with access to HPC production deployments and global collaboration.

Qualifications

• Advanced degree in computational mechanics, materials science, mechanical/aerospace/nuclear engineering, computational physics, or related field.
• Demonstrated ability to develop high-quality engineering or scientific code (e.g., Python, C++).
• Fluency with statistical sampling, machine learning, and data science techniques.

Responsibilities

• Lead technical workstreams on client engagements and build multi-physics simulation frameworks.
• Develop surrogate and ML models and physics-informed ML for real-world systems.
• Deploy scalable production tools on HPC infrastructure and translate insights into strategies for clients.

Skills

Python

C++

Machine learning

Data science

Education

MS/PhD in computational mechanics or related field

Tools

Python tooling

HPC tooling

Job description

McKinsey's QuantumBlack Labs in London (or Munich) is seeking an advanced specialist in computational physics and ML. You will lead technical workstreams, build multi-physics simulations and digital twins, and develop surrogate models to accelerate client problem solving.

Join a team of engineers, scientists, and ML experts focused on translating computational insights into strategic client recommendations, with access to HPC production deployments and global collaboration.