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Airbus

Data Scientist

  • Hybrid
  • 3-6 years
  • English (B2)

Salary

Not stated

Similar roles pay €55K - 80K a year · our estimate

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Description

The company is a large aerospace employer building out its digital work, and this role joins its People Analytics team inside the HR function.

This is a junior data scientist position. You will work with HR professionals to find and build use cases, and you will help spread data science know-how across HR.

The team is made up of data analysts and data scientists who work in an agile way, and you will coordinate between HR business teams, IT and the wider data science community.

Responsibilities

  • Work with HR experts to find use cases where predictive or correlation analysis, simulations or classification methods will add value to the function.
  • Build end-to-end AI models and present them clearly to business stakeholders.
  • Explore the company's various data sources to develop use cases with HR professionals.
  • Help build predictive scenarios for key projects.
  • Act as a stakeholder across HR business and IT, and connect with the data science community to bring current technology into People Analytics.
  • Promote data science awareness within the HR community.
  • Stay aware of potential compliance risks and act with integrity.

Requirements

  • Strong background in applied mathematics and Python.
  • Advanced Python skills, including classes and objects, plus knowledge of GPU-based parallel and accelerated computing.
  • Solid command of machine learning, deep learning and large language models (LLMs).
  • Working knowledge of GitHub and PyTest.
  • Experience with Spotfire and QlikSense.
  • Basic experience integrating LLM APIs such as OpenAI or Anthropic for standard NLP tasks and automation.
  • Ability to adapt quickly in a fast-changing environment.
  • Organised, self-directed and collaborative, with a hands-on, pragmatic and entrepreneurial approach to building digital products.
  • Strong problem solving and creativity, with the ability to apply innovation methods and tools across the innovation lifecycle.
  • Clear communication with varied audiences, including senior management, and strong networking skills.
  • Ability to explain model results, trade-offs and technical limits to product managers and non-technical stakeholders.
  • Customer-focused, with the ability to design user-centric solutions.
  • Good spoken and written English.
  • 1 to 3 years of experience in data science.
  • Desirable: experience with HR reporting systems such as Workday, PRISM or SAP BI.
  • Desirable: basic knowledge of HR business and GDPR.

Conditions

Permanent contract, professional level, in the Digital job family.

Hybrid working, combining onsite and remote work.

Office located at Parque das Nações, Lisbon area, with good public transport links.

Employer is the company Portugal SA.

Equal opportunity: applications are welcome regardless of background, age, gender, disability, sexual orientation or religion.

Benefits

  • Work in a multicultural environment.
  • Access to the company learning programmes, including digital courses, classroom sessions and certified training, plus career opportunities worldwide.
  • Flexible working arrangements that support innovative thinking and a healthy work-life balance.
  • An intense and engaging onboarding programme.
  • A motivated team to help grow and shape the GBS.

Where you’d work

Part of the week in the office

About the company

Airbus

  • Industry: Mobility

Office in Lisbon, Portugal

Also hiring in Spain, Montreal, Canada, Canada and 22 more places

3 of their 219 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 19 checks run
  • 2 red flags

Still hiring?

13 checks

1 red flag

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6 checks

1 red flag

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Details12 facts · Role, Location, Compensation, Employment, Company, Requirements
Tech stack
  • Python
  • LLMs
  • NLP
Type
Full-time
Industry
Mobility
Specialty
Data Science
Region
Europe
Pay period
Annual
Show 6 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Science
Experience
3+ years
Tech stack
  • Python
  • LLMs
  • NLP

Location

Work model
Hybrid
Region
Europe
Office
  • Lisbon, Portugal

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
Mobility

Requirements

Languages
  • English (B2)

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