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- Tasks: Join us as a Data Scientist intern to enhance vehicle performance through data science and modelling.
- Company: Alpine Racing, a leader in innovative automotive technology.
- Benefits: Gain hands-on experience, work in a dynamic team, and develop your skills in a high-performance environment.
- Why this job: Make a real impact on cutting-edge projects in the racing industry while learning from experts.
- Qualifications: Final year engineering or master's student with a passion for data science and machine learning.
- Other info: Inclusive workplace committed to diversity and personal growth.
La direction Informatique d'Alpine Racing est à la recherche de son/sa futur/e stagiaire Data Scientist pour une durée de 6 mois pour un début au premier semestre 2026.
L’équipe Data accompagne les métiers de l’ingénierie dans l’amélioration de la précision des modèles et l’intégration de la data science dans le pilotage de la performance véhicule.
Missions
- Hybrid Twin - Modélisation physique & data science (sujet majeur):
- Construire un hybrid twin pour la température des freins, combinant modèles physiques et approches data science.
- Exploiter les données de simulation HPC et les données issues des essais afin de :
- Identifier et quantifier les écarts simulation ↔ essais,
- Réduire la marge d’erreur et améliorer la précision des simulations,
- Transformer le modèle de température frein en modèle intégré.
- Mettre en place le workflow d’entraînement complet :
- Récupération et traitement des données de simulation sur le cluster HPC,
- Apprentissage et validation du modèle,
- Intégration dans le système de contrôle moteur (ECU) pour un usage opérationnel par les ingénieurs.
- LoRA - Fine-tuning de modèles de langage (sujet annexe):
- Mettre en place un workflow de fine-tuning par LoRA (Low-Rank Adaptation) sur l’infrastructure HPC.
- Expérimenter l’adaptation d’un modèle open-source (Mistral 7B par ex.) pour personnaliser l’avatar “Reno” dans un contexte racing (codes Alpine).
- Valoriser la démarche comme projet exploratoire en IA générative.
Profil:
- Étudiant(e) en dernière année d’école d’ingénieur ou master spécialisé (data science, IA, mathématiques appliquées).
- Solides bases en machine learning et traitement des données (Python, scikit-learn, PyTorch/TensorFlow).
- Intérêt pour la modélisation physique et les systèmes complexes.
- Connaissance souhaitée des LLM et techniques de fine-tuning (LoRA, transformers).
- Notions d’HPC (Linux, batch jobs, parallélisation) et Git.
- Autonomie, rigueur et curiosité dans un environnement de haute performance.
CS26 - Bac +5 - Stage Data Scientist employer: Alpine F1 Team
Contact Detail:
Alpine F1 Team Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land CS26 - Bac +5 - Stage Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Alpine Racing on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your data science work, especially anything related to machine learning or HPC. This will help us see your practical abilities in action.
✨Tip Number 3
Practice makes perfect! Get ready for potential interviews by brushing up on common data science questions and coding challenges. We want to see how you think and solve problems on the spot.
✨Tip Number 4
Apply through our website! It’s quick and easy, plus it keeps everything organised. Don’t forget to create a candidate account so we can keep you updated on your application status.
We think you need these skills to ace CS26 - Bac +5 - Stage Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role at Alpine Racing. Highlight your experience with machine learning, Python, and any relevant projects that showcase your skills in data science and modelling.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with the internship's focus on hybrid twin modelling and fine-tuning models.
Showcase Relevant Projects: If you've worked on any projects related to HPC, data processing, or machine learning, make sure to mention them. This will demonstrate your hands-on experience and interest in the field.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. Creating a candidate account will help you track your application and make future applications easier!
How to prepare for a job interview at Alpine F1 Team
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning and data processing skills, especially in Python, scikit-learn, and PyTorch/TensorFlow. Be ready to discuss how you've applied these tools in real-world scenarios, as this will show your practical understanding of the concepts.
✨Understand the Role's Focus
Familiarise yourself with hybrid twin modelling and the specifics of fine-tuning models like LoRA. Being able to talk about how you would approach building a hybrid twin for brake temperature or adapting an open-source model will impress the interviewers and demonstrate your genuine interest in the role.
✨Show Your Curiosity
Alpine Racing values autonomy and curiosity, so come prepared with questions about their projects and challenges. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your own values.
✨Highlight Your HPC Knowledge
Since the role involves working with high-performance computing (HPC), make sure to mention any experience you have with Linux, batch jobs, or parallelisation. If you can share examples of how you've used these skills in past projects, it will give you an edge over other candidates.