< Back to search

Airbus • Portugal

Data Scientist AI

Employment type:  Full time

< Back to search

Job Description

Job Description:

Responsibilities - your mission

Are you passionate about Artificial Intelligence (AI) and eager to join the cause of pioneering sustainable aerospace for a safe and united world?

If so, we have just the right job for you in Airbus as a Data Scientist based in Lisbon or Coimbra, Portugal.

We are the central Advanced Analytics and Artificial Intelligence team in Airbus for commercial aircraft and we deliver business impact through AI products and services across the entire value chain all the way from selling, designing, procuring, manufacturing to servicing aircraft. As such, we are responsible for solving all aspects and challenges of the machine learning (ML) product lifecycle, including problem exploration, solution development and deployment into cloud native environments at scale.

As part of our team you will work, learn and grow among an international and diverse group of top talent data scientists, software engineers, product managers and many more based across Europe and India. With truly vast amounts of data from all over the Airbus ecosystem at our disposal paired with an unparalleled product complexity, we are exposed to unique and exciting challenges, working at the forefront of AI in the aviation industry.

Key responsibilities for this role include but are not limited to:

  • Work with domain experts, machine learning engineers and AI specialists to develop AI solutions hands-on and accelerate them into production. This can include ML model development as well as utilization of GenAI foundation models

  • Partner with business functions on missions to tackle business painpoints and priorities, build analytical insights and derive AI related opportunities

  • Support our AI capability teams in defining and delivering on AI capability roadmaps (built around technology pillars like computer vision, NLP, generative AI, knowledge extraction and time-series anomaly detection) targeting reusable services and components which are consumed by a wide range of IT products

  • Contribute to creating company wide AI development and deployment best practices and blueprints to be adopted across the business. Advocate and support their adoption in Airbus Portugal

Requirements - our ideal candidate will have

Core Qualifications

  • Bachelor's or Master’s degree (or equivalent) in a STEM subject

  • Strong, fundamental understanding of common ML algorithms

  • First experience with building GenAI workflows including RAG and embeddings

  • High Proficiency in Python and experience with common ML libraries and frameworks

  • Familiarity with cloud environments such as AWS or GCP

  • Fluent in written and spoken English

Preferred Qualification and Experience:

  • Experience in customer facing roles focused on business impact and managing expectations

  • Deepened knowledge in either of the following fields: NLP, Computer Vision, Time Series Analysis, GenAI

  • Familiarity with CI/CD and DevOps principles

  • An understanding of software design & architecture

  • Strong problem solving, communication, and collaboration skills

At Airbus your personal development and continuous learning is dear to us and actively supported. With us you will find a sheer infinite, diverse and exciting amount of worldwide career opportunities in the space and aviation industry. So come on board! Your journey in Airbus is only limited by what you make of it.

This position requires occasional travel within Europe.

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 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

Employment Type:

Permanent

-------

Experience Level:

Professional

Job Family:

Digital <JF-IM-DI>

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.

Company benefits

Open to part-time employees
Open to job sharing
Annual bonus
Enhanced maternity leave
Open to compressed hours
Accrued annual leave
Sabbaticals
Enhanced sick pay
Adoption leave
Health insurance
Enhanced paternity leave
Family health insurance
Complimentary Medical Services
Referral bonus
Bike parking
Cycle to work scheme
On-site gym
Teambuilding days
In house training
Employee discounts

We need to ask employees of Airbus what it's like to work there before we assign the company FlexScore®.

Location flexibility
?
More information needed
Hours flexibility
?
More information needed
Benefits
?
More information needed
Work-life balance
?
More information needed
Role modelling
?
More information needed
Autonomy
?
More information needed

Working at Airbus

Company employees

150,000

Gender diversity (male:female)

70:30

Currently Hiring Countries

Australia

Belgium

Brazil

Canada

Chile

China

Colombia

Cyprus

Denmark

France

Germany

Hong Kong

Hungary

India

Indonesia

Ireland

Italy

Japan

Malaysia

Mexico

Netherlands

Philippines

Poland

Portugal

Romania

Saudi Arabia

Singapore

Spain

Switzerland

Thailand

United Arab Emirates

United Kingdom

United States

Office Locations

Other jobs you might like