Amadeus is changing how the world travels. We're a team of 16,000 professionals and 149 nationalities, working together to transform travel. Our technology powers new ways to make travel simpler, more connected and accessible. Join us to help millions of people across the globe travel better. As a travel technology company we build the critical solutions that help airlines and airports, hotels and railways, search engines, travel agencies, tour operators and other travel players to run their operations and improve the travel experience, billions of times a year, all over the world.
Area description:
At Travel Insights, we work towards satisfying the BI needs of the adjacent market’s segments (Destination Marketing Organizations (DMOs), Financial Institutions, Telcos, etc.)
Placement project:
• Collaborate in the end-to-end delivery of a specific use case regarding combining mobility, hotel, and air data, translating given business goals into insights. This will include gathering the data, cleaning, exploring, and building relevant insights, using different ML techniques as needed.
• Help documenting work and presenting results to team members and other relevant stakeholders, with the continuous support of mentor.
• Supporting continuous observation of possible data anomalies, as well as contribute to the work towards their resolution.
• Gaining experience on a given combined data (hotel, airline, mobility) use case
• Understanding the relevant data sources available
• Performing data cleaning and data exploration
• Collaborate building relevant insights and ML model as needed
• Writing proper documentation and sharing results
• Learning:
- Functional knowledge of the Travel Industry (including relevant airline and hotel data)
- Avanced SQL
- Python
- Druid
- Azure
- Data quality
- Team working in a multicultural team
- Communication and interpersonal skills
Requirements:
- Fluent in English
- Good programming skills (Python, SQL)
- Basic knowledge of data science/ML techniques
- Experience in corelating data sets
- Soft skills: analytical thinking, pro-activity, good communications skills
