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

Energy Jobline ZR

Donauwörth

Vor Ort

EUR 30.000 - 45.000

Vollzeit

Heute
Sei unter den ersten Bewerbenden

Zusammenfassung

A global aerospace company in Donauwörth seeks a VIE Data Scientist and Project Facilitator to support AI projects. Applicants should have a degree in artificial intelligence or statistics and experience with machine learning in Python. This role offers a collaborative environment that bridges research and business, focusing on innovative technologies. The position is entry-level and supports professional growth.

Leistungen

Work-life balance with a 35-hour week
International networking opportunities
Modern technologies exposure
Participate in community initiatives

Qualifikationen

  • 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.
  • Dynamic and curious, autonomous, customer oriented, team player.
  • Rigorous, analytical and creative mind.

Aufgaben

  • Support the business functions in their Artificial Intelligence projects.
  • Translate real-world problems into quantitative context.
  • Collaborate to industrialise, monitor, and improve data science models.
  • Coordinate with teams to deploy and operate models.
  • Contribute to the definition and industrialization of data science workflows.

Kenntnisse

Machine Learning
Deep Learning
Data Analysis
Agile Project Management
Fluent English
German

Ausbildung

Degree in Artificial Intelligence, Statistics, or Applied Mathematics

Tools

Python
Jobbeschreibung
Overview

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide. We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.

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).

  • Position: 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 preferred
  • Duration: 24 months
  • Definition VIE
  • 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; you are in close contact with interfaces and are part of our weekly team meetings
  • Opportunity to participate in the Airbus Community to expand your own network
Team and context

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 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 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 skills in statistics, machine learning, deep learning and computer science to reduce production costs, improve lead-time and quality of products and services, and more. As DI is transverse you’ll work on a wide range of use cases (e.g., predictive maintenance, forecasting, 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 their 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 into 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 internal and external 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
  • Experience Level: Entry Level
  • Job Family:

By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, 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. 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.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.

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