Airbus Defence and Space

About Airbus Defence and Space

Airbus Operations Limited Airbus is a global leader in aeronautics, space and related services. In 2019 it generated revenues of € 70.5 billion and employed a workforce of around 134,000. Airbus offers the most comprehensive range of passenger airliners. Airbus is also a European leader providing tanker, combat, transport and mission aircraft, as well as one of the world’s leading space companies. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions worldwide. Our people work with passion and determination to make the world a more connected, safer and smarter place. Taking pride in our work, we draw on each other's expertise and experience to achieve excellence. Our diversity and teamwork culture propel us to accomplish the extraordinary - on the ground, in the sky and in space. Job Description Airbus is undergoing a significant Digital Transformation to benefit from the latest advances in new technologies and targets a major efficiency breakthrough across the Program and Product Lifecycle. Join the adventure to invent and implement Industry 4.0 @ Airbus! You will join the Wing Airframe organisation in Filton, which design Airbus wings for commercial aircrafts, process the modifications activities and support in-service A/Cs and manufacturing processes. We implement New Processes, Methods and Tools into wing engineering environment (including Design, Modelling and Simulation) to improve and predict our industrial performance. What is in for you? You will join a Transnational & Multicultural team of dynamic people. You will contribute in leading Digital Transformation in a high-performance motivated team to deliver industry 4.0. You will be part of a team that is responsible for implementing emerging technologies into Wing engineering environments to improve operational performance. You will be responsible for developing and enable AI and Advanced Data Analytics capabilities within engineering. You will be responsible for growing the AI and data analytics community and support training activities in-progress. Responsibilities The principle responsibilities of the role can be summarised as follows: Define Data analytics, AI, ML strategy for Industrial performance analysis and prediction (Architecture, Roadmap, technical solutions, competences). Define Data architecture, data requirements to define Multi-Modal information access for Industrial (from row data to smart data). Develop, test and validate the advance analytics models (Model Reduction, Clusters Algorithms, Learnings Algorithms...). Build integrated data sets, analyse data sources (ML/AI), and build compelling visualizations (typically Python, R, Spark). Create appropriate documentation and knowledge transfer materials to ensure effective, efficient and safe model implementation and integration. Creating best practices by delivering demonstrators, pilots and serial deployment for Industrial using current and future toolset. Requirements Bachelor Degree or Master's degree in Computer Science, Statistics, Applied Mathematics, Data Management, Information Systems or equivalent. Experienced in Advanced Analytics techniques applied to an Industrial Environment. Experienced in using Skywise platform and building trainings for Nanodegree and AI. Proficient programming skills in at least two of the following: Python, Spark and/or Hadoop R, Java. Experience delivering within one of the sub-domains of analytics, such as machine learning, artificial intelligence, statistical analysis (GLM, Bayesian Models, Non-Parametric Models, etc...). Autonomy and ability to influence, lead the Change and deal with transformation processes in an international environment. In return we can offer a competitive salary with annual profit share; an ever growing list of company benefits including enhanced pay for maternity, paternity, adoption and shared parental leave and strong career development options across our transnational, market leading company. Many of our staff work flexibly in many different ways, including part-time. Please talk to us at interview about the flexibility you need. We can’t promise to give you exactly what you want, but we do promise not to judge you for asking. Please let us know if you need us to make any reasonable adjustments for the selection process – you can share this with the Recruitment Business Partner who gets in touch if you are invited to interview. Examples of this may include (but is not exclusive to) accessible facilities; auxiliary aids; room layout etc. Any information disclosed will be treated in the strictest confidence 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. 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, age, gender, disability, sexual orientation or religious belief.

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Company Info

Legal Form: SA

Company Type: Entreprise cotée en bourse

Company Size: 5001 - 10000

Revenue: 0 - 9 billion (EUR)

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