About this job

The Airbus Digital Transformation Office (DTO) is looking for an Advanced Analyst to join the Analytics Accelerator in Filton.

The DTO leads the digital transformation of Airbus group, leading essential digital projects, defining the group data strategy, and supporting culture change towards more digital and agile ways of working. The Analytics Accelerator is a central group of data scientists in the DTO. Its mission is to lead the most valuable and challenging data science projects across all parts of the business. It also helps to build up data science expertise us and pioneers new ways of working.

The role will be to lead and implement data science projects as part of a flourishing and evolving team that works at the cutting-edge of applied data science. The team has a large degree of autonomy and high visibility to top management. The role offers a meaningful and exciting personal environment as well as the opportunity to grow within the DTO and Airbus.

Responsibilities

• Scoping, leading, and performing data science projects (incl. Partner management and communications)
• Performing hands-on work to build integrated data sets, analyse data sources (ML/AI), and build compelling visualizations (typically Python, R, Spark)
• Providing technical advice on analytics projects
• Visualising and communicating results (e.g. in interactive dashboards)
• Presenting results to project partners, including business experts and middle management
• Sharing knowledge, contribute to driving change within the digital network, presentations and communications within the digital community, dissemination of best practices (patterns), etc.

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for our success, reputation and sustainable growth.

Profile

• Mandatory experience/skills:
  • Experience leading and executing data science projects
  • Project management experience: deliver a concrete result to a customer
  • Experience understanding, structuring and integrating data (e.g., fields, data quality, ranges, volume, etc.)
  • Significant experience using inferential statistics / machine learning (e.g. statistical testing, clustering, PCA, SVM, random forests, regression, neural networks)
• Additional desirable knowledge / experience:
  • Understanding of big data system architectures (e.g., HDFS, Spark)
  • Experience working with unstructured data (e.g. text, images, video)
• Knowledge / understanding:
  • Digital technologies and related challenges
  • Ability to understand our processes and build up business cases
  • Desirable: Aerospace business experience (product and service portfolio)
• Tools:
  • MS Office, agile tools (e.g. Jira)
  • Significant working experience one or more of the following languages: R, Python, Java, Matlab, Spark, …
  • Experience using data visualization tools (e.g. RShiny, Spotfire, Tableau)
  • Business travel: Limited travel within Europe (few days per month)