Are you a final-year master’s student looking for a thesis project that blends real-world impact with cutting-edge tech?

At Framna, we are passionate about creating digital products that shape markets and make everyday life better - and we want you to be part of it.

Every year, we welcome a group of master’s students into our Stockholm studio to spend their final semester with us. You will sit alongside our developers, designers, testers, analysts, and product delivery leads, get a place to sit in our cozy office, and join our social and learning activities - from lunch-and-learns to our weekly Friday demos and AWs. It is a chance to do your thesis in a collaborative setting, surrounded by people who are happy to share what they know.

Background

Train delays are a persistent challenge, impacting commuters, freight logistics, and overall trust in the railway system. Even small deviations from the timetable can create ripple effects, causing missed connections, increased costs, and frustration for passengers.

Trafikverket provides extensive open data on train operations, including timetables, real-time positions, and historical records of delays. This dataset offers a unique opportunity to investigate why delays happen and to explore whether machine learning models can predict future disruptions.

Depending on your interests and previous experience, the thesis can focus on different aspects - from uncovering the factors behind delays to developing predictive models that forecast their likelihood and duration.

What you will do

Depending on your interests or previous experience, the thesis could focus on different aspects. You could, for example:

• Explore Trafikverket’s open train operation data
• Build and evaluate machine learning models for delay prediction
• Evaluate the model’s performance, accuracy, and reliability

The goal of this thesis is to explore what is possible, rather than delivering a production-ready feature. The findings are intended to serve as a valuable foundation, offering insights and guidance for potential future development.

Who you are

This thesis may suit you if you:

• Are interested in machine learning and data science
• Enjoy using data to solve practical, real-world problems
• Have experienced the frustration of delays in public transport
• Plan to start your master’s thesis project in January 2026
• Have the opportunity to work from our Stockholm studio

About Framna

Framna means ‘to bring forward’ in Old Norse. And that is exactly what we do. We partner with industry leaders (and those about to be) to create excellent digital products that define markets, reshape industries, and deliver meaningful impact.

Born from the union of digital agencies Bontouch, Move, and Shape, Framna emerged from a strong, product-led culture. Today, over 600 of us collaborate across ten studios in Denmark, the Netherlands, Poland, Sweden, Switzerland, and the US.

Every day, millions of users around the world rely on the products we help shape. From seamless payments to daily commutes, from better health management to smarter shopping. Our work supports more than €150 million in daily transactions and consistently earns an average App Store rating of 4.5.

Together with some of the world’s most ambitious brands, including Essity, SJ, Swish, and SEB, we craft products that lead markets and push boundaries. Because when products win, businesses win. We call it Win by product.

Our hiring process

• Psychometric assessment - personality and logic test
• Interview with our recruiter, Josephine
• Case assignment
• Case interview