Job Description:
Responsibilities - your mission
Join the Airbus Human Resources (HR) community as a Junior Data Scientist and contribute to our digital transformation!
Do you want to play a proactive role within the People Analytics team to strengthen our data science capabilities?
Do you have a strong background in applied mathematics and Python in order to help us build predictive scenarios for key projects?
Are you motivated to dive into the various Airbus Data and create use cases together with our HR professionals?
Interested in interacting as a stakeholder within a multi-functional team to coordinate between HR business, IT counterparts and in connection with the data science community to strengthen People Analytics 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 HR community.
- Jointly with the HR experts, you will identify use cases where Predictive/Correlation Analysis, Simulations, or Classification approaches will bring benefits to the function.
- As a data scientist, you are responsible for building end-to-end AI models and to share them in a comprehensive manner to our business counterparts.
- You will be a part of a team of data analysts and data scientists working in an agile mode.
- 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
Technical skills:
Essential:
- Advanced experience in Python Classes/Objects with knowledge on GPU-based parallel and GPU-accelerated computing.
- Mastering Machine/Deep Learning models and Large Language Models (LLMs).
- DevOps tools including Github and PyTest.
- Visualization tools including Spotfire and QlikSense.
- Basic integration with LLM APIs (e.g. OpenAI, Anthropic) for standard NLP tasks and automation
Desirable:
- Experience with HR Reporting Systems (Workday, PRISM, SAP BI)
Soft skills:
Essential:
- Ability to adapt in a rapidly changing environment.
- Structured, self-organized and collaborative way of working.
- Strong communication towards diverse audiences (incl. senior management) and strong networking skills.
- Hands-on, pragmatic approach to building digital products (hacker / entrepreneurial mindset).
- Creativity and aptitude for problem solving.
- Innovation leadership: deploy appropriate innovation methods, techniques and tools to support an innovation opportunity lifecycle phase.
- Customer oriented mindset, ability to provide user-centric solutions.
- Good level of spoken and written English.
- Ability to present model results, trade-offs and technical limitations to Product Managers and non-technical stakeholders
Desirable:
- Knowledge of HR business basics and GDPR would be a plus.
Experience:
- 1 to 3 years of experience in Data Science
Benefits - what’s in it for you
- The chance to work in a multicultural environment.
- The opportunity to grow your skills and capabilities thanks to our Airbus learning offer (digital solutions, classroom sessions, certified training....) and career opportunities across the globe.
- 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.
- Work in a balanced environment: Beyond the many benefits offered to its employees, joining Airbus is also the guarantee of a respectable work-life balance. 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.
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 SAEmployment Type:
Permanent-------
Experience Level:
ProfessionalJob Family:
DigitalBy 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 [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.
Skills Required
- 1 to 3 years of experience in Data Science
- Advanced experience with Python classes and objects
- Knowledge of GPU-based parallel and GPU-accelerated computing
- Mastery of machine learning and deep learning models
- Experience with Large Language Models
- Experience with DevOps tools including GitHub and PyTest
- Experience with visualization tools including Spotfire and QlikSense
- Basic integration with LLM APIs such as OpenAI or Anthropic
- Ability to adapt in a rapidly changing environment
- Structured, self-organized, and collaborative working style
- Strong communication and networking skills
- Hands-on, pragmatic, entrepreneurial approach to digital products
- Creativity and problem-solving aptitude
- Innovation leadership skills
- Customer-oriented mindset and ability to provide user-centric solutions
- Good spoken and written English
- Ability to present model results, trade-offs, and technical limitations to technical and non-technical stakeholders
- Experience with HR reporting systems such as Workday, PRISM, or SAP BI
- Knowledge of HR business fundamentals and GDPR
Airbus Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Airbus and has not been reviewed or approved by Airbus.
-
Healthcare Strength — Healthcare coverage is positioned as comprehensive in several locations, including medical, dental, and vision options available from day one in the U.S. Access to life insurance, disability coverage, and employee assistance/wellbeing support adds breadth to the health offering.
-
Retirement Support — Retirement support is framed as a meaningful part of the package through plans such as a 401(k) with company matching in the U.S. These programs strengthen long-term financial security beyond base wages.
-
Leave & Time Off Breadth — Time-off provisions are described as generous in some settings, including vacation availability from day one and extended holiday coverage. Flexible working arrangements and hybrid options further increase the perceived value of time-related benefits.
Airbus Insights
What We Do
Airbus is a global leader in aeronautics, space and related services. In 2020, it generated revenues of €49.9 billion and employed a workforce of around 130,000. 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. Airbus is an international pioneer in the aerospace industry and a leader in designing, manufacturing and delivering aerospace products, services and solutions to customers on a global scale. We believe that it’s not just what we make, but how we make it that counts; promoting responsible, sustainable and inclusive business practices and acting with integrity. Our people work with passion and determination to make the world a more connected, safer and smarter place, on the ground, in the sky and in space.
