In the newly established team for Operational Research and RM Science, we shape the future of dynamic pricing and revenue management at SAS. Short-term, our priority is to implement ticket dynamic pricing. This is just the start though. In parallel, we actively prepare the revenue optimization of tomorrow, powered by AI and Data Science. Help us solve these problems with the right methods to maximize value for our business!

As the Senior RM Scientist, you have three main responsibilities: lead the science behind our Dynamic Pricing project, inform our longer-term OR agenda, and inspire with a data-driven mindset.

• You are a key member in the Dynamic Pricing project at SAS, which is our team’s top priority in 2025-2026. You lead methodological/scientific discussions both with vendors and cross-functional internal stakeholders like AI/Data Science teams. To ensure the project maximizes the value to SAS, you evaluate different models, calibrate and benchmark model outputs, and monitor their effectiveness in solving the Dynamic Pricing problem.
• In parallel to Dynamic Pricing, you identify opportunities to solve business problems with science within RM and neighboring functions like Network and Commercial. Examples are to improve forecast or intervention accuracy, but you may also propose to build a new demand forecaster. Since our team is new, this problem discovery is your opportunity to shape our OR agenda much more than in an established structure.
• You lead with example how to turn data into insights, into a product strategy, and ultimately into value. You push an experimentation mindset and culture at SAS and identify supporting tools and methods. We want to become highly confident in making the right decisions based on data.

Most important are a quantitative academic background, relevant RM science experience, and the motivation to shape our new team’s roadmap. Ideal candidates have:

• Academic degree in a relevant field, preferably PhD (e.g., Engineering, Math, Science, Economics).
• Multiple years of experience in airline revenue management, ideally in dynamic pricing, continuous pricing, context-specific pricing, or AI-driven pricing.
• Deep technical, mathematical, and statistical knowledge. Ability to understand RM models on a deep level and lead methodological discussions on how to best solve RM problems.
• Familiarity with airline IT (reservation, distribution, shopping, etc.) is a plus.
• Experience in how to apply AI, ML, and Data Science to drive business value is a plus.
• Data analysis, coding, and visualization skills (e.g., Excel, Python, R, SQL, Power BI).
• Strong in strategic thinking as well as analytical problem-solving.
• Communication skills to simplify complex analyses and effectively engage diverse audiences (tech and non-tech).

• Please send us your CV as soon as possible, as interviews are conducted continuously, and the position may be filled before the application deadline. Note that we are not able to handle any applications that are sent by email, due to GDPR regulations.
• Desired start date: As soon as possible.
• Position: Fulltime (100) starting with a 6-month probation period.
• This position is based in Frösundavik, Solna (Stockholm), and you will be expected to work onsite. Remote work and employment in Copenhagen may also be options, depending on the agreement made with your manager.
• To be eligible for this position you need an EU-work permit. Please note that we ask you to inform us if you currently have a valid EU-work permit.