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Publiée 4 juin 2026

Data Scientist (m/f/d)

airbus
Marseille, PAC, FR CDI

Job Description

Job Description In order to support and manage current and future projects, Airbus Helicopters is looking for you to join the Digital Innovation team in Donauwörth as soon as possible as our new Data Scientist (d/f/m)You will join the "Digital Innovation Team", being part of Airbus Helicopters’ Transformation Department, which strives to develop technologies bridging the gap between research and business. We work in a uniquely collaborative model across Airbus Group and throughout all levels of our internal customers, whether they are manufacturing, quality, support, finance, engineering, HR or Marketing and Sales.Our team aims at using the latest technological capabilities to solve Airbus Business problems or improve the way we design, produce and support our Helicopters and Services. That means that Advanced Analytics, Artificial Intelligence, Virtual Reality, Augmented Reality, Mixed Reality and Internet of Things are the technologies we leverage on a day to day basis - and more are about to come.As part of the digital transformation of Airbus Helicopters, you will be working on the design of machine learning models to address various business issues, based on the latest scientific and technological advances in the field of data science.

Depending on the progress of the project, you may be asked to contribute to a set of initiatives.Your locationAt our Donauwörth site , located on the banks of the river Danube, we develop helicopters from the initial idea to the airworthy product. Watch them take off and touch down on our own on-site test airfield.Your benefitsAttractive salary and special payments30 days paid vacation and extra days-off for special occasionsExcellent upskilling opportunities and great international, group wide development prospectsSpecial benefits: employer-funded pension, employee stock options, discounted car leasing, special conditions for insurances, transportation subsidy, employee benefits at cooperating companiesOn-site-facilities: Kindergarten close to the site, medical officer for check-ups and other health-related services, canteen, cafeteria, kiosk and self-service market, good traffic connectionCompatibility of family & work (job sharing, part-time models, flexible working hours, individual timeout)Working in a diverse environment, with more than 140 nationalities, where every voice is heardYour tasks and responsibilitiesCollaborate with the framing team to understand business needs, business value, and data characteristics (location, quality, structure)Translate business needs into actionable solutions in a timely mannerScope and take ownership of datasetsBuild and train machine learning modelsEvaluate, fine-tune, and challenge models against agreed objectivesDeploy the most suitable modelsDocument work clearly and systematicallyPerform User Acceptance TestingIndustrialize developed machine learning solutionsDesired skills and qualificationsMaster’s degree in Data Science or an AI-related fieldExperience in data science, including machine learning/deep learning methods and libraries, and natural language processing (LLM, RNN)Two years of professional experience in data science and AIAgile software development and project managementPractical experience with Palantir Foundry, TIBCO Spotfire, Red Hat OpenShift AI, SAP Business Warehouse, Jupyter Notebook, Google Workspace, SAP ERP, Python, PySpark would be a plusFluent in German and proficient in English (negotiation level); French is a plus.Soft skills: rigorous, analytical, creative, dynamic and curious, team player, autonomousOpen to travel to Marignane to accompany AI projects when needed (approximately twice a month)Motivation to work in a hybrid environmentThis job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.Company: AIRBUS HELICOPTERS DEUTSCHLAND GmbHEmployment Type: PermanentExperience Level: ProfessionalJob Family: Digital#J-18808-Ljbffr

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