Graduate Data Scientist - Vehicle Science

Key Responsibilities

• Develop and improve physics-based, reduced-order and data-driven models to support engineering analysis and vehicle performance decisions.
• Build and maintain Python analysis tools to turn simulation, wind tunnel and track data into meaningful engineering insight.
• Undertake modelling tasks from problem definition and data preparation through to development, verification, validation and documentation, with guidance from experienced colleagues.
• Apply mathematical modelling, statistics and machine-learning techniques to identify trends, improve predictions and accelerate engineering workflows.
• Help integrate data from multiple sources and contribute to reliable data pipelines, shared modelling tools and datasets.
• Collaborate with Vehicle Science, Simulation and Modelling, Aerodynamics, Vehicle Performance and other engineering teams to understand problems and develop practical solutions.
• Communicate findings through clear reports, visualisations and presentations, while maintaining good coding practices, testing, version control and documentation.

Skills, Knowledge and Expertise

• BSc or MSc in Mathematics, Applied Mathematics, Physics, Engineering, Computer Science or another relevant quantitative discipline.
• A sound understanding of mathematical modelling, statistics and data analysis, with an interest in applying these to complex engineering problems.
• Knowledge of regression, optimisation and machine-learning methods; familiarity with surrogate or reduced-order modelling would be advantageous.
• Programming experience in Python, ideally using libraries such as NumPy, pandas, SciPy and scikit-learn.
• Understanding of model validation, uncertainty and error analysis, with the ability to investigate unexpected results and draw evidence-based conclusions.
• Strong analytical and problem-solving skills, curiosity and a willingness to learn, with the ability to communicate findings clearly.
• A collaborative, proactive approach, with the ability to manage priorities and deliver work to demanding timescales.

Benefits

About
Embark on a journey with the Aston Martin Aramco Formula One Team to reshape history at our cutting-edge, sustainable campus in Northamptonshire. Combining our rich heritage with innovation, we bring fresh energy to the sport, driven by a commitment to challenge the status quo and dominate the track. With new investment fueling our ambitions, we're seeking talented individuals who share our passion for racing and drive for success. As part of our high-performing, collaborative team, you'll enjoy a competitive package, including a discretionary bonus scheme, private health care, pension plan, life assurance, and benefits like, cycle-to-work, tech, and car schemes. Plus, you can look forward to an on-site gym with fitness classes, as well as a restaurant offering indoor and outdoor dining.Aston Martin Formula One Team is committed to attracting, recruiting, and retaining the most talented individuals, regardless of age, disability, gender identity, gender expression, gender reassignment, marital or civil partnership status, pregnancy or maternity, race, religion, belief, sex or sexual orientation. We strive to be a Team that reflects all the communities with which we engage around the world through diversity in the workplace and promoting an inclusive culture in which all team members are respected, empowered and valued.