Senior Physical AI Data Scientist

QuantumBlack, AI by McKinsey; Greater London; On-site; GBP 75,000 - 95,000; Full time

Benefits offered by this job

Comprehensive benefits package

Mentorship and continuous learning opportunities

Job summary

QuantumBlack, AI by McKinsey is seeking an expert in physics AI to join their Robotics and Physical AI team. You will lead projects that create multi-physics simulation frameworks, develop machine learning models, and collaborate with a diverse global team. The ideal candidate has an advanced degree in a relevant field and expertise in programming languages like Python and C++.

This role is based in London or Madrid, focusing on deploying cutting-edge technology to solve complex engineering challenges and drive measurable results.

Qualifications

• M.S. or Ph.D. in computational mechanics, materials science, or a related field required.
• Experience in applied simulation or scientific machine learning.
• Exceptional time management in a complex environment.

Responsibilities

• Lead technical workstreams on client engagements for AI and robotics.
• Develop multi-physics simulation frameworks and digital twins.
• Collaborate with global teams to drive innovation and deliver impactful solutions.

Skills

High-quality engineering code development

Statistical sampling

Machine learning techniques

Organizational capabilities

Communication skills

Education

Advanced graduate degree in computational mechanics or related field

Tools

Python

C++

PyTorch

Job description

QuantumBlack, AI by McKinsey is seeking an expert in physics AI to join their Robotics and Physical AI team. You will lead projects that create multi-physics simulation frameworks, develop machine learning models, and collaborate with a diverse global team. The ideal candidate has an advanced degree in a relevant field and expertise in programming languages like Python and C++.

This role is based in London or Madrid, focusing on deploying cutting-edge technology to solve complex engineering challenges and drive measurable results.