DYNAMIC PRICING SCIENTIST

SAS - Scandinavian Airlines; Solna kommun; On-site; SEK 900,000 - 1,200,000; Full time

Benefits offered by this job

Travel perks

Health & wellness benefits

Discounts with brands and travel perks

Vibrant Frösundavik office with dining

Job summary

SAS - Scandinavian Airlines is seeking a Dynamic Pricing Scientist to build and deploy advanced pricing models that optimize revenue while delivering customer value. You will analyze market dynamics, booking patterns, and customer behavior to inform pricing decisions at scale.

Join a talented team of scientists and product managers, shaping the future of revenue management and optimization in aviation. Remote work is limited to on-site operations, with a focus on production-grade analytics and

Qualifications

• Advanced degree in quantitative field required.
• Experience applying analytical methods to business problems.
• Strong communication skills to explain complex concepts to non-technical audiences.

Responsibilities

• Develop, improve, and deploy Dynamic Pricing models.
• Design optimization approaches to maximize revenue and customer value.
• Analyze customer behavior, booking patterns, and market conditions.
• Collaborate with Product Managers to translate opportunities into analytics.
• Work with engineers to deploy models in production.
• Design experiments and evaluate business impact.
• Contribute to Revenue Management and pricing evolution at SAS.
• Define future analytical agenda for pricing and network optimization.

Skills

Analytical thinking

Communication skills

Problem solving

Quantitative modeling

Education

MSc or PhD in quantitative field

Tools

Python

R

SQL

Job description

About the role and the challenges you will work on:

Build the Algorithms Behind the Future of Airline Pricing

At SAS, we are building next-generation Dynamic Pricing capabilities that will transform how airline offers are priced, customized, and optimized.

As a Dynamic Pricing Scientist, you will apply Operations Research, Statistics, Machine Learning, and Economic thinking to solve some of the most challenging commercial optimization problems in aviation.

You will work in a highly skilled team of scientists and product managers where your models will directly influence pricing decisions at scale, working at the intersection of mathematics, economics, customer behavior, and technology.

You will also own the science behind our Dynamic Pricing algorithms.

• Develop, improve, and deploy Dynamic Pricing models.
• Design optimization approaches that maximize revenue while delivering customer value.
• Analyze customer behavior, booking patterns, competitive dynamics, and market conditions.
• Collaborate with Product Managers to translate business opportunities into analytical solutions.
• Work closely with engineers to operationalize models in production environments.
• Design experiments and evaluate business impact.
• Contribute to the broader evolution of Revenue Management, pricing, forecasting, and optimization capabilities at SAS.
• Help define the future analytical agenda of Revenue Management and Network Optimization Science.

The Team

You'll join a high-performing and diverse team of talented professionals with a wide range of backgrounds and perspectives. As our Dynamic Pricing team continues to grow, you'll have the opportunity to contribute to its development and help shape the way we work. We value collaboration, curiosity and innovation, and foster an inclusive environment where people support one another, share ideas and succeed together.

To be successful we believe you have

You enjoy solving complex business problems using quantitative methods and have a strong desire to create measurable business impact.

We Believe You Have

• MSc or PhD in Operations Research, Mathematics, Statistics, Economics, Data Science, Computer Science, Engineering, Physics, or a related quantitative field.
• Experience applying analytical methods to real-world business problems.
• Strong programming skills in Python, R, SQL, or equivalent.
• Ability to structure ambiguity and translate business questions into analytical approaches.
• Strong communication skills and ability to explain complex concepts to non-technical audiences.

Nice To Have

• Experience with Pricing, Revenue Management, Forecasting, Optimization, or Decision Science.
• Experience developing Machine Learning models in production environments.
• Familiarity with airline, travel, retail, e-commerce, mobility, or marketplace industries.
• Experience with experimentation and causal inference.
• Knowledge of Operations Research techniques including optimization, simulation, or forecasting.

Why SAS?

Benefits

• Travel Perks: Enjoy discounted travel opportunities around the world with SAS.
• Health & Wellness: Access to health and wellness benefits, including a newly renovated gym with complimentary classes such as CrossFit and yoga.
• Discounts: Receive discounts from a wide range of brands, as well as on transportation to and from airports, airport shops, hotels, and car rentals.
• Work Environment: Our office location in Frösundavik offers a vibrant workspace with a restaurant, café, and easy access to outdoor activities in Hagaparken and Brunnsviken. Engage in running, tennis, outdoor gym sessions, kayaking, and stand-up paddling with equipment available free of charge.
• Convenient Commute: Benefit from a non-stop bus service connecting our office to Solna station, and commuter trains, alongside a network of cycle paths.

Our Culture at SAS

At SAS, we are dedicated to caring for each other, delighting our travelers, and driving the transformation towards sustainable aviation. As a future colleague on our team, you'll join a culture where we work collaboratively towards common goals, recognize each other's contributions, and celebrate successes. Our focus is on safe, sustainable, and punctual execution, and we are committed to protecting our planet while transforming SAS for the future. This is an empowering workplace where you can thrive, grow, and take ownership of your work. Join us at SAS and be part of shaping the future of aviation!

We welcome diverse perspectives and particularly encourage applications from women.

Additional Information

• 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.