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.

Facts

  • Location

    Zürich/Kloten

  • Employment level

    Direct entry

  • Function

    Revenue Management / Pricing

  • Working time

    Full-time or part-time

  • Salary

    CLA

  • Publishing date

    08-07-2025

  • Application deadline

    08-14-2025

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  • 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
Contact

Diana Munzinger

Human Resources
Swiss International Air Lines AG

E-mail address for inquiries
recruiting.services@swiss.com

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

Video: https://player.vimeo.com/video/377755417
Join SWISS

Our common goal is to make each customer’s flight a true air travel experience. For this, we go the extra mile – always, in every step of the process, worldwide. Join the SWISS team to become part of our fascinating world, where a job turns into a lifetime adventure.

  • 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.

About Swiss International Air Lines AG

Swiss International Air Lines (SWISS) is Switzerland’s leading air carrier. With one of Europe’s most advanced aircraft fleets, SWISS is a premium airline that provides direct flights from Zurich and Geneva to keep Switzerland connected with Europe and the world. Its Swiss WorldCargo division offers an extensive range of airport-to-airport airfreight services for high-value, time-critical and care-intensive consignments. SWISS embodies Switzerland’s traditional values and is dedicated to delivering the highest product and service quality. The company has also set itself ambitious CO2 goals, and plans to halve its 2019 net CO2 emissions by 2030 and make its business and operations entirely carbon-neutral by 2050, particularly by promoting the use of sustainable aviation fuels. SWISS is part of the Lufthansa Group, and is also a member of Star Alliance, the world’s biggest airline network.

www.swiss.com
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