MSc Thesis Data Science

At Alfa Laval, we always go that extra mile to overcome the toughest challenges. Our driving force is to accelerate success for our customers, people and planet. You can only achieve that by having dedicated people with a curious mind. Curiosity is the spark behind great ideas. And great ideas drive progress.

As a member of our team, you thrive in a truly diverse and inclusive workplace based on care and empowerment. You are here to make a difference. Constantly building bridges to the future with sustainable solutions that have an impact on our planet’s most urgent problems. Making the world a better place. Every day.

Who you are

You are a dedicated person with a flair for problem solving, persistent and not afraid of reaching to your colleagues. You strive for simplicity and outcomes that can create an impact. Enthusiasm is well appreciated.

About the job

The claim handling department in Global Logistics is responsible for delivering root cause analyses on customer claims regarding delivered items. The current process involves a lot of manual investigation and digging into the process to be able to establish a root cause. This project would help automatic this process by the application of unsupervised learning techniques on natural text generated by humans when performing a root cause analysis. The first objective is to categorize text into topics and afterwards to try to find patterns by means of a feature space, that includes information about the shipment.

What you know

You are master student within the data science space and are ready to perform a thesis together with an international organization. Ideally you have basic knowledge and/or are interested in learning more about natural language processing and unsupervised learning.

For more information, please contact

Lorenzo Colone, Senior Data Scientist,
Email: ,
Number: +45 20 35 41 05

Please send your application no later than June 31st 2023