VIE - Data Analyst/Data Scientist within production (d/f/m)

Salary: 70.000 - 100.000 € per year

Requirements:

University degree in the area of Data Science, Computer Science, Mechanical Engineering (with a focus on Data Science/AI) or an equivalent field of study.

Team player.

Good communication skills.

Innovative mindset with a continuous focus on improvements.

Advanced knowledge in programming, preferably Python, Pyspark, SQL.

Good foundation in machine learning and big data, e.g. sklearn, Pytorch, etc.

Fluent in English language.

Basic German skills.

Responsibilities:

Apply ad-hoc Data Analytics to get insights on production activities and share the results with relevant stakeholders.

Identify use cases in the context of big data, AI and digitalization.

Deploy AI use cases using Red Hat Openshift platform.

Specify and develop reportings in close collaboration with the business.

Replace Excel-based Business Owned tools by state-of-the-art and fully automatized solutions using Palantir Foundry, Redhat OpenShift AI and TIBCO Spotfire.

Technologies:

AI

Big Data

Excel

Support

Machine Learning

Network

OpenShift

Palantir Foundry

PyTorch

Python

PySpark

SQL

TIBCO

HTTP

More:

We are Airbus Helicopters Deutschland GmbH and we are supporting the Digital Transformation within our Industrial Site Donauwörth. This VIE - Data Analyst/Data Scientist within production role is based in Donauwörth, with a start as soon as possible and a duration of 24 months. At our Donauwörth site, located on the banks of the river Danube, we develop helicopters from the initial idea to the airworthy product and operate our own on-site test airfield. We offer a 35-hour work week with flexitime, an international environment with global networking opportunities, modern and diversified technologies, possible travel overseas or within Germany after consultation, close collaboration with interfaces and weekly team meetings, and the opportunity to join the Generation Airbus Community to expand your network. We support flexible working arrangements and foster an inclusive working environment.

last updated 37 week of 2026