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Data Scientist

Lisbon (Airbus Portugal)

Live, first seen by us 32 days ago
Pay
Pay not listed
Work setting
Not stated
Employment
Permanent · Full-time — employment source
Employment Type: Permanent------- Experience Level:
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Identify HR use cases for predictive, correlation, simulation or classification analysis

  • Build end-to-end AI models and share them with business counterparts

  • Coordinate between HR business, IT and the data science community

  • Spread data science awareness within the HR community

From the employer’s posting
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.
to coordinate between HR business, IT counterparts and in connection with the data science community
You will take an active stake in spreading data science awareness within the HR community.

What you’ll bring

All qualifications

Core experience

  • Experience with HR Reporting Systems (Workday, PRISM, SAP BI)
  • Ability to adapt in a rapidly changing environment.
  • 1 to 3 years of experience in Data Science
  • Structured, self-organized and collaborative way of working.
  • Strong communication towards diverse audiences (incl.
  • Ability to present model results, trade-offs and technical limitations to Product Managers and non-technical stakeholders

Preferred experience

  • Knowledge of HR business basics and GDPR would be a plus.
Qualification wording
Experience with HR Reporting Systems (Workday, PRISM, SAP BI)
Ability to adapt in a rapidly changing environment.
1 to 3 years of experience in Data Science
Structured, self-organized and collaborative way of working.
Strong communication towards diverse audiences (incl. senior management) and strong networking skills.
Ability to present model results, trade-offs and technical limitations to Product Managers and non-technical stakeholders
Knowledge of HR business basics and GDPR would be a plus.
Apply at AG

Posting record

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Status in our records
Live
First seen by us
Oct 3, 202632 days ago
Recorded sightings
95
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 32

Similar jobs usually come down between day 7 and day 55.

From 9,990 similar postings that came down. Coming down is not always a hire.

AG is hiring

40 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Takes jobs down quickly
  • 5% of open jobs were reposted
Hiring record

See how this role fits your experience

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  • Python
  • SAP
Where the posting names them
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?
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).
Desirable: - Experience with HR Reporting Systems (Workday, PRISM, SAP BI) Soft skills:

Your next step

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Has AG posted this job before?

Yes. We’ve followed one other Data Scientist job there since June 2026. It is still up.

  1. BengaluruStill up after 146 days, first seen Jun 11
  2. This jobUp 32 days so far, first seen Oct 3

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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 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.

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Pay

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Location & working pattern

Lisbon (Airbus Portugal)

- 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.
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