VIE in Germany - Data Scientist and Project Facilitator (m/w/d)

Job Description:
In order to support the Digital Innovation team, Airbus Helicopters is looking for a
VIE Data Scientist and Project Facilitator (m/f/d)
You are a highly motivated graduate and want to get to know the work of a Data Scientist and Project Facilitator ? Then apply now! We look forward to you supporting us as a Volunteer for International Experience.

• Location: Donauwörth
  
• Start: As soon as possible - a start in 2025 is prefered
  
• Duration: 24 months
  

Definition VIE
The Volunteer for International Experience (VIE) program is an international program sponsored by the French Ministry of Economy, Finance and Employment, open to Airbus to offer young professionals the opportunity to have valuable paid work experience abroad in a technical or business function. We are looking for highly motivated graduates aged 18 to 28 years, who are citizens of the European Union (all E.U. nationals, plus Norway, Iceland and Liechtenstein). Candidates meeting these criteria and interested in a VIE, please register before your 28th birthday on the website www.civiweb.com . For graduates who would be interested in a career with Airbus, this could be the start of a rewarding future in a dynamic and forward-thinking sector.
Your location
At 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 benefits

• Work-life balance with a 35-hour week (flexitime)
  
• Traveling overseas or within Germany (team events) is possible after consultation and agreement from the department
  
• International environment with the opportunity to network globally
  
• Work with modern/diversified technologies
  
• At Airbus, we see you as a valuable team member and you are not hired to brew coffee, instead you are in close contact with the interfaces and are part of our weekly team meetings
  
• Opportunity to participate in the Generation Airbus Community to expand your own network
  

About the team
The Digital Innovation (DI) team is part of the Company Transformation Department working 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, human resources or sales and marketing.
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 IoT are the technologies we leverage every day.
Your tasks and responsibilities

• Support the business functions in their Artificial Intelligence Projects
  

You will translate the real world problems expressed by the business into an appropriate quantitative context, source data and develop models that solve these issues.
The goal is to combine innovative skills in statistics, machine learning, deep learning and computer science to reduce our production costs, improve lead-time and quality of our products and services, and more. As DI is transverse you’ll work on a wide range of use cases (e.g predictive maintenance, forecast, planning, NLP classification and agent, picture defect detection, statistical process control, optimization), input data (e.g tabular, time series, text, images, videos or sounds) and various stakeholders (product owner, business analysts, data scientists and end-users). Facilitating the proper progress of the projects you are working on, will be an additional key role.

• Collaborate to industrialise, monitor, and improve our data science models
  

You will coordinate with the multi-functional team composed of data owner, data engineer, ML Engineer to deploy and operate your models throughout its life-cycle in accordance with AI Governance requirements.
You will contribute to the definition and industrialization of the end to end data science workflow.

• Be part of the Data Science community
  

You will blend in the global Airbus AI community to share and get needed support.
Stay up to date with the latest trends of the scientific literature and leverage our internal and external scientific partnerships to ensure we use best-in-class technology.
You may deliver training and communications.
Desired skills and qualifications

• Educated to a degree in artificial intelligence or statistics or applied mathematics
  
• Experience with Machine Learning and Deep Learning techniques in Python
  
• Some ML Ops knowledge or experience
  
• Some experience in data preparation/cleansing, data analysis
  
• Some knowledge on agile project management
  
• English level: fluent or negotiation level, German a plus
  
• Dynamic and curious, autonomous, customer oriented, Team player
  
• Rigorous, analytical and creative mind
  

Please upload the following documents: cover letter, CV, relevant transcripts, letters of reference.
Not a 100% match? No worries! Airbus supports your personal growth.
Take your career to a new level and apply online now!
This 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 GmbH
Employment Type:
VIE, VISC
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Experience Level:
Entry Level
Job Family:
Digital
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Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com .
At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.