Data Science Engineer – Vehicle Science & AI for Performance

Paddock; Silverstone; Remote; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Discretionary bonus

Private healthcare

Pension plan

Life assurance

Childcare benefits

Cycle-to-work scheme

Tech scheme

Car scheme

Job summary

Aston Martin Formula One Team in Silverstone is seeking a Data Science Engineer for Vehicle Science to turn CFD, wind tunnel and track data into actionable insights. You will build mathematical and data-driven models, design scalable data pipelines and apply AI/ML methods to accelerate simulation and improve aerodynamic performance.

With a strong foundation in mathematics or physics and Python ML libraries, you will collaborate with aerodynamics, simulation and vehicle performance teams to

Qualifications

• Master's degree or higher in Mathematics, Physics, Engineering, Computer Science or another relevant scientific or computational discipline.
• Strong knowledge of mathematical and data-driven modelling, including reduced-order modelling, surrogate models, emulators and predictive algorithms.
• Strong analytical skills across modelling, experimental methods, statistical inference and data analysis; experience with fluid mechanics or other complex physical systems is advantageous.
• Excellent programming skills in Python, with experience using scientific computing and machine-learning libraries such as scikit-learn, JAX or PyTorch.

Responsibilities

• Develop and maintain robust mathematical, physics-based and data-driven models to improve engineering analysis and aerodynamic performance.
• Design and optimise scalable data pipelines integrating complex datasets from CFD, wind tunnel testing, track activities and other engineering sources.
• Research and apply advanced AI and machine-learning techniques, including surrogate models, emulators and reduced-order methods, to improve predictive capability and accelerate simulation.
• Collaborate with Vehicle Science, Simulation and Modelling, Aerodynamics, Vehicle Performance and other technical groups to embed modelling insights into engineering workflows and decisions.
• Analyse complex datasets, evaluate model performance and communicate findings through clear technical reports, visualisations and presentations.

Skills

Mathematical modelling

Data-driven modelling

AI/ML techniques

Data analysis

Cross-functional collaboration

Education

Master's degree in Mathematics, Physics, Engineering, or Computer Science

Tools

Python

scikit-learn

JAX

PyTorch

Job description

Aston Martin Formula One Team in Silverstone is seeking a Data Science Engineer for Vehicle Science to turn CFD, wind tunnel and track data into actionable insights. You will build mathematical and data-driven models, design scalable data pipelines and apply AI/ML methods to accelerate simulation and improve aerodynamic performance.

With a strong foundation in mathematics or physics and Python ML libraries, you will collaborate with aerodynamics, simulation and vehicle performance teams to