Time since we first saw it
Day 13
Similar jobs usually come down between day 7 and day 56.
From 10,195 similar postings that came down. Coming down is not always a hire.
Graduate Data Scientist - Vehicle Science
Silverstone, England
Actively hiring, first seen by us 13 days ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: onsite
From the employer’s posting- Employment
Permanent — employment source
Employment type Permanent - Full Time
Read the full posting
Before you apply
- New graduates
- Open to new graduates
Job title: Graduate Data Scientist - Vehicle Science
What you’ll work on
Full postingDevelop 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.
Collaborate with Vehicle Science, Simulation and Modelling, Aerodynamics, Vehicle Performance and other engineering teams to understand problems and develop practical solutions.
From the employer’s posting
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.
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.
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.
Benefits in the posting
Full benefits wording- 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.
- Employment type
- Permanent - Full Time
From the employer’s posting.
Posting record
Report an errorActively hiringFirst seen by us 13 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 23, 202613 days ago
- Recorded sightings
- 17
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Aston Martin Aramco Formula One Team is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- NumPy
- pandas
- scikit-learn
- SciPy
Where the posting names them
- 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.
- 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.
Your next step
Complete your application on astonmartinf1.pinpointhq.com. The employer’s form will show what is required.
Applying through Pinpoint
- Only .pdf and .docx are accepted. Older .doc files are turned away.
Already applied? Track this application
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Turn data into performance. Start your Formula 1 journey at Aston Martin Aramco Formula 1 Team.
Are you passionate about mathematics, data science and understanding how complex systems perform? Join our Vehicle Science team as a Graduate Data Scientist, applying mathematical modelling, statistical analysis and machine learning to help improve the performance of our Formula One car.
You'll work with data from simulation, wind tunnel testing and the track, developing practical models and analysis tools that help our engineers understand vehicle behaviour, identify trends and make better-informed decisions. Working alongside experienced specialists, you'll build your technical expertise while contributing to the engineering work that drives car development.
You'll work with data from simulation, wind tunnel testing and the track, developing practical models and analysis tools that help our engineers understand vehicle behaviour, identify trends and make better-informed decisions. Working alongside experienced specialists, you'll build your technical expertise while contributing to the engineering work that drives car development.
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.
An interest in Formula 1, motorsport, aerospace or other high-performance engineering environments would be advantageous.
Make an impact
At Aston Martin Aramco, data science is an important part of understanding and improving car performance. You'll have the opportunity to apply your mathematical and programming skills to real engineering problems, helping our engineers extract greater value from simulation, wind tunnel and track data.
Make an impact
At Aston Martin Aramco, data science is an important part of understanding and improving car performance. You'll have the opportunity to apply your mathematical and programming skills to real engineering problems, helping our engineers extract greater value from simulation, wind tunnel and track data.
You'll learn from experienced specialists, develop your modelling and data science capabilities, and see how your work contributes to the decisions that shape a Formula 1 car.
If you're curious about how things work, enjoy solving complex problems and want to apply your skills where engineering performance is pushed to its limits, we'd like to hear from you.
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.
Employment type
Permanent - Full Time
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Silverstone, England
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. Employment type
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.