Airbus is a global pioneer in the aerospace industry, specializing in the design, manufacture, and delivery of commercial aircraft, military transports, helicopters, and space systems. As one of the world's largest aerospace companies, it employs over 130,000 people globally and operates as a cornerstone of European industrial collaboration and technological innovation. Spain plays a vital role in Airbus's global operations, hosting major production and engineering centers in Getafe, Seville, and Cádiz. The company is a major employer for international talent in Spain, offering a multicultural work environment where English is the primary language for technical and management roles, alongside comprehensive relocation support for specialized engineering positions.

Airbus was established in 1970 as a European consortium to challenge the dominance of American aerospace manufacturers. It grew through the integration of major national aerospace companies from France, Germany, the UK, and Spain, including the merger with Spain's CASA in 1999.

Big Data Scientist for the Services Analytics Plateau

Airbus Spain

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Job Description:

The Services Analytics Plateau (working mode: Agile Scrum) is searching for an experienced data scientist.

The project you will be working on represents Airbus Defence and Space's analytics capabilities for our largest customers and all our large aircraft. It delivers improved performance and customer experience and enables a rapid understanding of the potential of digitalisation for our customers.

You will be at the forefront of further developing our Data Analytics solutions. The main task will be to find new ways to address challenges with data and digital technologies and support the creation of new services.

We have well over 100 data products and operate more than 50 use cases in production. In addition, we already have a data pool of several terabytes.

RESPONSIBILITIES

Product discovery and maturation:

Ask the right questions to support the discovery process
Identify the data-analytics problems that offer the greatest opportunities to the organization
Perform exploratory data analysis using visualization and sense
You are or will be familiar with our business and actively follow market trends
You present your findings to stakeholders using visualisation and other means

Data structuring:

Collating data and "data wrangling", i.e. transforming, cleansing and linking it with other data.
Providing data sets for machine data models; determining relationships between data source attributes
Apply data mining techniques to carry out statistical analysis.
Create and validate models, also but not only using ML

Data products:

Exploratory analyses of data, extraction of specific content, patching, and statistical analysis
Develop and implement programme prototypes and production code, mainly in Python
Supporting the execution of proof-of-concept and ad-hoc requests within the community
Development and handling of MCMC simulations, as well as output analysis.

Pioneering role:

Driving new working methods and new data governance models.
Presenting results to diverse audiences; from engineers to managers
Sharing and exchanging knowledge with other teams and working closely with the different support teams, the design office et al.

SKILLS

M.Sc. (ideally Ph.D.) in statistics, mathematics, computer science, physics, aerospace engineering or a related field
Several years of relevant professional experience working in data-driven projects, preferably within an Agile environment
Demonstrated expertise in processing and analysing of:
- Aircraft sensor and maintenance data, or
- Aircraft or fleet data, including ILS (Integrated Logistics Support) or in-service data
Hands-on experience in the development and implementation of health monitoring, predictive maintenance, or Integrated Logistic Support (ILS) models for the aerospace sector
Deep knowledge and expertise in data analysis and statistical interpretations of data (e.g. probability distributions, statistical tests, anomaly detection, Bayesian inference)
Experience working in Big Data Projects using Spark and Spark-Submit Jobs for building ELT pipelines and creating data products
Working knowledge of Unix systems, including command-line operations and scripting (e.g., Bash)
Expertise in DevOps and Python coding in a production environment, as well as excellent knowledge of SQL technologies and databases
Experience in the development of visualisation tools (e.g. Spotfire) and front-end applications (Streamlit, Django)
Fluent in English and ideally also in German

WHICH BENEFITS WILL YOU HAVE AS AIRBUS EMPLOYEE?

At Airbus we are focused on our employees and their welfare. Take a look at some of our social benefits:

Vacation days plus additional days-off along the year.
Attractive salary.
Hybrid model of working when possible, promoting the work-life balance.
Collective transport service in some sites.
Benefits such as health insurance, employee stock options, retirement plan, or study grants.
On-site facilities (among others): free canteen, kindergarten, medical office.
Possibility to collaborate in different social and corporate social responsibility initiatives.
Excellent upskilling opportunities and great development prospects in a multicultural environment.
Special rates in products & benefits.

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 Defence and Space SAU

Employment Type:

Permanent

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Experience Level:

Entry Level

Job Family:

Configuration Management

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.