Data scientist

Join our innovative Trade management department! Being a Data Scientist at Stena Line you will code, maintain and understand the product and its users. You will mostly be working on building, validating, and managing advanced prediction, simulation, optimization, and reinforcement learning models and algorithms.

Further, you will be investigating how to best utilize data and bring recommendations for improvement to the rest of the organization.

What you will experience
At Trade management we use the latest technologies within big data and machine learning to build intuitive and user-friendly revenue management tools to support Stena Line’s continued growth. We are proud to be a high-tech team with a direct impact on both company revenue and profitability and focus heavily on being on the cutting edge, both technically and creatively.

You will work in a very competent team of data scientists, commercial managers, full stack developers, UX designers towards a vision of making trade management processes easier, smarter and more profitable.

As a Stena Line employee in Sweden, we offer you an additional benefits package consisting of travel discounts, health allowance, well-being activities, access to a benefits portal, and much more. 

We believe a hybrid solution between the office and working remotely will create the best environment for us to be creative, productive and find a work-life balance creating magic today and tomorrow.

Who you are
At Stena Line your personality matters as much as how good you are at what you do. Regardless of your role, welcoming, caring and reliable guides you in your everyday work and the challenges you face. We believe you are welcoming, and love to share knowledge with others in your team. You are caring for your team members, you are communicative and find it easy to collaborate with others. We also believe you are reliable and ambitious when it comes to creating results. You are curious with great passion for learning and programming.

Qualifications: 
- M.Sc. or Ph.D. in Operations research, Applied Mathematics, Computer Science or similar
- Strong background in modeling, optimization and algorithms
- Experience or a strong interest in developing high-quality software
- Experience in developing optimization tools
- Knowledge and experience in using Python for scientific computing, with libraries such as pandas, scipy, scikit-learn, and plotly.
- Familiar with general Data Science/Machine learning concepts and tools.
- Experience with Kubernetes or OpenShift is meriting
- Great at visualizing and communicating technical results
- Fluent in English, written and spoken

Interested?
This is a full-time, permanent position based in Gothenburg within our Trade management department. To apply, please register your profile and send in your application in English as soon as possible but no later than 30th of September, 2023. Please note that due to GDPR we do not accept applications via e-mail or postal service. We have collective bargaining agreements with Unionen, among others, who you can contact for more information. 

If you have any questions regarding the position you are welcome to contact Ken Ryrbo, Engineering Manager Trade management at ken.ryrbo@stenaline.com, or Jonas Bereketab, Trade management lead at jonas.bereketab@stenaline.com. Questions regarding the recruitment process, please contact Frida Berntsson, Talent Acquisition Partner, at frida.berntsson@stenaline.com. 

About Stena Line
As a leader in sustainable shipping, Stena Line has Europe’s most comprehensive route network focusing on transportation of both passengers and freight. We have over 5,900 employees in our Stena Line family across Scandinavia, around the UK and the Baltics, making a contribution to our company.  

Stena Line exists to be a trusted link between people, places and societies. We play a vital role in keeping everything connected. We make sure people and goods arrive where they need to be, enabling business to thrive and societies to grow. We connect family and friends, and make it possible to explore new destinations or revisit favourite places. 

We are committed to maintaining and developing a sustainable working environment, free from harassment, that gives equal opportunities to everyone. We embrace equality, diversity and inclusion – and welcome all applicants.