Junior Data Scientist / AI engineer (m/w/d) in the field of Data Processing & Analytics

To strengthen our team, we are currently looking for a " Data Scientist / AI Engineer (m/f) " at Airbus Defence & Space in Toulouse. Context: You will join the TSEED2 Data Processing & Analytics department, a transnational entity responsible for developing advanced data engineering solutions for satellite systems, featuring robust collaboration with space engineering disciplines. The organization comprises diverse professional profiles, including data scientists, project managers, product managers, software developers, and big data architects, ensuring structured onboarding and a comprehensive understanding of data engineering and data science within space applications. Our data science teams operate across multiple advanced domains, including: Time-series anomaly detection Digital Twin framework implementation, including architectural concepts and data pipelines Surrogate model realization tailored to diverse space industry specializations Mathematical optimization for design and architecture Natural Language Processing (NLP) and Large Language Models (LLM) Formalization of data via Knowledge Graphs to provide contextualized information The team manages numerous internal research and development initiatives alongside external collaborations with innovative startups and space institutions, aiming to deliver state-of-the-art AI solutions that satisfy the requirements of Airbus Defence and Space. In this role, you will be responsible for the architecture, development, and operational deployment of data management and analytical platforms. Collectively, we support engineering business units and enhance processes across the full satellite lifecycle—from conceptual design to operational phases—leveraging highly digitalized data analytics services.

Establish and advance state-of-the-art standards for LLMs, Retrieval-Augmented Generation (RAG) architectures, and agentic workflows. Analyze stakeholder requirements and define the functional building blocks necessary for robust model construction, evaluation, and automation. Develop core solutions using Python and execute integration across corporate data platforms. Contribute to artificial intelligence product roadmaps and internal corporate research initiatives. Validate solutions in collaboration with subject matter experts through iterative testing and refinement cycles. Required Qualifications and Competencies: Candidates are expected to demonstrate proficiency in a selection of the following professional domains: An academic degree in Data Science, Computer Science, Software Engineering, or an equivalent technical discipline. Communication and Collaborative Capabilities: Strong interpersonal skills, a proactive professional attitude, and the capacity to operate effectively within multicultural environments. Demonstrated ability to manage distinct work packages autonomously while maintaining close alignments with internal stakeholders. Data Science, Engineering, and Programming Expertise: Advanced data manipulation and analytical processing utilizing Python. Ontology Engineering methodologies. Proficiency with deep learning and LLM frameworks, including TensorFlow, PyTorch, Transformers, and LangChain. Familiarity with enterprise software architecture and big data platform infrastructure, incorporating vector databases, information security compliance, access management controls, and computational hardware orchestration. Language Proficiency: English: Professional fluency required French: Professional working proficiency is considered an asset Interested applicants are requested to submit a formal cover letter, an updated curriculum vitae, and relevant professional or academic certifications. Not a 100% match? No worries! Airbus supports your personal growth with customized development solutions. This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the