Data Scientist - Lutte contre la Désinformation @ Airbus
placeParis, Ile-de-France, France
attach_money €40,000
businessOn Site
scheduleFull Time
Posted 1 day ago
Your Application Journey
Interview
Email Hiring Manager
****** @airbus.com
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Job Details
Overview
Airbus invites motivated candidates to join its Data Science team at Airbus Defence and Space in Elancourt. This internship offers an opportunity to work on multi-source intelligence tools focusing on fake news detection, entity framing, and narrative identification in press articles.
Key Responsibilities
- Research and implement machine learning techniques and prompt engineering.
- Extract and classify entity framing from news articles.
- Develop classification and generation models using NLP methods (BERT, LLMs).
- Benchmark and evaluate models based on performance, cost, and bias.
- Collaborate within a team of data scientists to share best practices.
Required Skills and Tools
- Proficiency in Python and deep learning frameworks (PyTorch, LoRA).
- Experience with Docker, Gitlab, and DVC.
- Familiarity with NLP, LLMs, BERT, DeBERTa, HuggingFace, and Mistral.
- Strong competencies in data science and AI techniques.
- Advanced English and fluent French language skills.
Internship Details
This 6-month internship, starting around March-April 2026, is designed for candidates pursuing a Bac +5 degree in Data Science or related fields. Eligibility for security clearance is required.
Key skills/competency
- Data Science
- NLP
- Deep Learning
- Python
- Model Evaluation
- LLM
- BERT
- Research
- Classification
- Bias Analysis
How to Get Hired at Airbus
🎯 Tips for Getting Hired
- Customize your resume: Emphasize relevant data science projects.
- Showcase NLP skills: Highlight experience with BERT and LLMs.
- Prepare technical demos: Include Python and PyTorch examples.
- Research Airbus culture: Understand their innovation approach.
📝 Interview Preparation Advice
Technical Preparation
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Review Python coding standards and libraries.
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Practice building models with PyTorch and Docker.
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Study BERT, DeBERTa, and LLM architectures.
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Benchmark model efficiency and bias evaluation methods.
Behavioral Questions
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Describe a challenging team project experience.
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Explain your approach to solving technical problems.
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Discuss handling feedback during project iterations.
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Share a time you managed deadlines under pressure.
Frequently Asked Questions
What prerequisites are needed for the Data Scientist internship at Airbus?
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How important is experience with LLMs for the Airbus internship?
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Can international candidates apply for the Data Scientist role at Airbus?
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What technologies are crucial for success in this Airbus internship?
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How does Airbus support intern professional development in data science?
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