Degree Project within Machine Learning
Do you want to make a real impact with your degree project? Svenska Spel, Sweden’s leading gambling operator, offers a unique opportunity to contribute to responsible gambling and cutting-edge technology.
About Us
Svenska Spel processes over 10 million transactions daily, developing and maintaining one of the world’s most advanced gambling systems. At the heart of our operations lies our commitment to responsible gambling, ensuring that our products are safe, secure, and enjoyable for all customers. To achieve this, we drive initiatives, sponsor research, and develop technological safeguards.
The Project
In this thesis, you will expand our current framework by developing algorithms capable of detecting the mindset of a gambler and identifying shifts during their gaming sessions. The goal is to create a model that flags transitions from healthy to unhealthy gambling behavior in near real-time. Using unsupervised statistical methods, the project will focus on efficiency, interpretability, and robust theoretical underpinnings.
Your work will contribute to our mission of responsible gambling and help protect vulnerable customers.
What We Offer
- The chance to tackle a meaningful, real-world problem using advanced machine learning and mathematical techniques.
- Support from experts at Svenska Spel, including your supervisor, Hanna Gruselius.
- A professional and collaborative environment with Sweden’s largest gambling operator.
Timeline
- Last Application Date: December 8, 2024
- Start Date: Spring 2025
Who Should Apply?
We’re looking for students in Applied or Computational Mathematics, Machine Learning, or a related field who are passionate about using technology to make a positive societal impact.
Applications can be submitted individually or as a group. Compensation may be provided by agreement.
Do you have questions, please contact Hanna Gruselius, hanna.gruselius@svenskaspel.se.
Or Team Talent Acquisition, teamta@svenskaspel.se.
We look forward to receiving your application!
#LI-REMOTE
#LI-HYBRID
- Avdelning
- Examensarbete och praktik
- Roll
- IT/Tech
- Platser
- Remote, Solna, Göteborg, Visby
- Distansarbete
- Hybridarbete
Degree Project within Machine Learning
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