About This Role
Working as a Junior Data Scientist, you will join the Airbus Human Resources (HR) community and contribute to its digital transformation. This role involves strengthening data science capabilities within the People Analytics team by building predictive scenarios for key projects. You will dive into Airbus Data to create use cases with HR professionals and coordinate between HR business, IT counterparts, and the data science community.
Responsibilities
- Take an active stake in spreading data science awareness within the HR community
- Jointly with HR experts, identify use cases where Predictive/Correlation Analysis, Simulations, or Classification approaches will bring benefits to the function
- Build end-to-end AI models and share them in a comprehensive manner with business counterparts
- Work as part of a team of data analysts and data scientists in an agile mode
- Act with integrity, as the foundation for the Company’s success, reputation and sustainable growth
Requirements
- 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
- 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
- 1 to 3 years of experience in Data Science
Nice to have:
- Experience with HR Reporting Systems (Workday, PRISM, SAP BI)
- Knowledge of HR business basics and GDPR
Benefits
- The chance to work in a multicultural environment
- The opportunity to grow skills and capabilities thanks to Airbus learning offer (digital solutions, classroom sessions, certified training) and career opportunities across the globe
