Python Job: Data Scientist

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Company

Airbus

Location

Lisbon - Portugal

Job type

Full-Time

Python Job Details

Job Description:

Responsibilities - your mission

Join the Airbus Finance community as a Data Scientist and contribute to our digital transformation!

Do you want to play a proactive role within the Airbus Finance team to strengthen our data science capabilities?

Do you have a strong background in applied statistics and data analysis in order to help us build predictive scenarios for key projects in Airbus Finance?

Are you motivated to dive into the Airbus data lakes, structure databases and create use cases together with our Finance professionals?

Interested in interacting as a stakeholder within a multi-functional team to coordinate between Finance business, IT counterparts and in connection with the data science community to strengthen Finance with the state of the art technology.

If “Yes” is the answer to the above questions, apply for this job and make your case!

Show us your appetite for innovation, we are looking for inspiring candidates to inspire others!

  • You will take an active stake in spreading data science awareness within the Finance community

  • Jointly with the Airbus business, you will identify uses cases where Predictive, Simulations, Correlation analysis or Classification approaches will bring benefits to the function

  • You will work in a project mode to implement new initiatives

  • As an expert, you are responsible to steer the data science analysis and to share it in a comprehensive manner to our business counterparts

  • In coordination with the IT and the other data scientists, you will support the stabilization of the processes and tools of the department. For example, by running proofs of concept or contributing to the implementation of our tools like SAP Data Intelligence

  • You will ensure the support and run the required evolution on a portfolio of already existing applications

  • 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.

Requirements - our ideal candidate will have

  • Data analysis skills, applied statistics, data mining

  • Data assimilation, data cleansing

  • Experiment designing

  • Computer science: Python, R

  • Background within Business Intelligence software (SAP BW, QlikSense, Power BI…) is a plus

  • Experience or knowledge within the Finance landscape

  • Ability and willingness to integrate a team with diverse profiles and objectives

  • Languages skills: Negotiation level of English. French, German, Spanish also appreciated

Benefits - what’s in it for you

  • Diverse career opportunities within Airbus European core countries or in other regions around the world.

  • A hybrid working model, allowing you to combine onsite and offsite work.

  • A modern office at Parque das Nações, well connected to public transportation.

  • A motivated and fun crew to grow and build and shape the GBS together.

  • An intense and exciting onboarding experience.

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 Portugal SA

Contract Type:

Permanent Contract / CDI / Unbefristet / Contrato indefinido

Experience Level:

Professional / Expérimenté(e) / Professionell / Profesional

Job Family:

Information Mgmt and Digital Technology <JF-IM-DI>

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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 [email protected] .

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.