Data Scientist (80-100%, all genders)

Are you passionate about leveraging data to drive decision-making? Do you enjoy implementing statistical models and see them come to life? We are looking for a hands-on data scientist who takes matters into their own hands and makes an immediate impact at Swiss WorldCargo.

Starting date: October 01, 2025 or upon agreement

You may apply in English or German.

Tasks

• Design, develop and deploy data products that deliver value-adding insights for operations and commercial areas
• Analyze commercial and operational air cargo data to uncover patterns and predictive opportunities and build corresponding models
• Identify and implement automation opportunities to streamline manual processes
• Design and evaluate statistically sound randomized, controlled experiments to assess commercial impact
• Collaborate with IT and operational stakeholders to deliver high quality, sustainable solutions
• Collaborate cross-functionally, sharing knowledge and supporting other teams on their data challenges
• Communicate complex analytical insights in clear, business-relevant terms across all organizational levels
• Help build and support SWC in its transformation to science driven decision making
  
  

Benefits

• 13th monthly salary
• Attractive company pension scheme
• Flight benefits
• Remote working (e.g. from home)
• Diversity programmes
• Subsidized parking or public transport
• Flexible workhours and part-time working models
• Company health management
• Paid maternity and paternity leave
  
  

Requirements

• Bachelor’s degree in Data Science, Statistics, Engineering or related discipline
• Minimum of 2 years of experience working with data, modelling and predictive analytics
• Solid understanding and practical experience with cloud environments (MS Fabric preferred)
• Hands-on experience of SQL for data preparation and exploratory analysis from complex data schemas
• Proven proficiency in programming to support modelling efforts (Python preferred)
• Comfort with statistical inference, regression, timeseries or related techniques (ML is a plus)
• A proactive self-starter who thrives working in complex, evolving environments (entrepreneurial mindset)
• Knowledge of airline/air cargo commercial environment or revenue management is advantageous
• Fluent in English
  
  

For any further questions, please contact our Recruiting Services Center at +41 44 564 22 66.

Contact

Diana Munzinger

[email protected]