Airbus

Data Scientist M/F


PayCompetitive
LocationMarseille/Provence-Alpes-Cote D'azur
Employment typeFull-Time

This job is now closed

  • Job Description

      Req#: JR10239565

      Job Description:

      Airbus Helicopters is looking for a Data Scientist (f/m) to join our Digital Acceleration Office (DAO) based in Marignane, France.

      The Digital Acceleration Office 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, 3D Additive Manufacturing, Virtual reality, Augmented Reality, Mixed reality and IoT are the technologies we leverage every day.

      Your working environment:

      Major economic hub with Marseille-Provence Airport, Marignane is a dynamic city in the southeast of France. It is located near the cities of Aix-en-Provence and Marseille, which host a rich cultural and tourist offer. Close to the beaches of the Côte Bleue, it offers many options for water sports activities.

      How we care for you:

      Financial rewards: Attractive salary, agreements on success and profit sharing schemes, employee savings plan abounded by Airbus and employee stock purchase plan on a voluntary basis.

      Work / Life Balance: Extra days-off for special occasions, holiday transfer option, a Staff council offering many social, cultural and sport activities and other services.

      Wellbeing / Health: Complementary health insurance coverage (disability, invalidity, death). Depending on the site: health services center, concierge services, gym, carpooling application.

      Individual development: Great upskilling opportunities and development prospects with unlimited access to +10.000 e-learning courses to develop your employability, certifications, expert career path, accelerated development programmes, national and international mobility.

      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.

      Your challenges:

      • 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 DAO 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)

      • 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, communications, publications or lectures.

      Your profile:

      Skills and experience

      • 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

      • English level: native fluent or negotiation level

      Soft Skills we are looking for

      • Dynamic and curious

      • Rigorous, analytical and creative mind

      • Team player

      • Autonomous

      • Customer oriented

      • Proactive

      This position requires a security clearance or will require being eligible for clearance by the recognized authorities.

      Not a 100% match? No worries! Airbus supports your personal growth with customised development solutions.

      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 SAS

      Employment Type:

      Permanent

      -------

      Classe Emploi (France): Classe F12

      Experience Level:

      Entry Level

      Job Family:

      Digital

      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.

      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.

  • About the company

      3642356 Airbus SE is a European multinational aerospace corporation.

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