# Data Science Engineer – Vehicle Science **Company**: Astonmartinf1 **Location**: Silverstone, England **Work arrangement**: onsite **Job type**: Full-time **Category**: Engineering **Industry**: Motorsport **Apply**: https://astonmartinf1.pinpointhq.com/en/postings/fd041bf9-914a-4096-911c-ffbc9a83e26c?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_49824361-23e ## Description Turn data into performance at Aston Martin Aramco Formula 1 Team. Join our Vehicle Science team as a Data Science Engineer, where your work will directly influence the development and performance of our Formula One car. You'll apply mathematical modelling, physics-based methods and machine learning to accelerate simulation, improve predictive capabilities and generate valuable insights across aerodynamics and related engineering disciplines. ## Key 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. - Maintain high standards of data quality, integrity, security and traceability across modelling workflows. - Write clean, efficient and maintainable code using sound software engineering practices, version control and AI-assisted development tools where appropriate. ## Skills, Knowledge & Expertise - 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. Further software training will be available where required. - Ability to evaluate models, investigate unexpected results and draw robust, evidence-based conclusions from complex engineering data. - A proactive, results-oriented approach, with sound technical judgement and the ability to manage competing priorities under pressure. - Strong communication and collaboration skills, with the ability to work effectively across multidisciplinary engineering teams. Experience in Formula 1, motorsport, aerospace or another high-performance engineering environment would be advantageous. ## Benefits Investing in your career is paramount. We promote professional and personal development through a provision of learning opportunities and work with you to shape your career and realise your full potential. As part of our high-performing, collaborative team, you'll enjoy a competitive package, including a discretionary bonus scheme, private healthcare, pension plan, life assurance, TEDSgroup childcare benefits, a cycle-to-work scheme, tech scheme, and car scheme. You will also have access to our state-of-the-art facilities at the AMR Technology Campus, featuring a new on-site gym with fitness, spin and yoga classes, a bistro café, and restaurant. ## Skills ### Required - mathematical modelling - machine learning - data analysis - Python - scikit-learn - JAX - PyTorch ### Nice to have - Formula 1 - motorsport - aerospace - high-performance engineering --- Source: [Apply at astonmartinf1.pinpointhq.com](https://astonmartinf1.pinpointhq.com/en/postings/fd041bf9-914a-4096-911c-ffbc9a83e26c?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)