Role overview
We are looking for an early- to mid-career professional with strong analytical foundations.
Your background
- M.Sc. or Ph.D. in Computer Science, Mathematics, Physics, Engineering, or similar
- ~1–5 years of experience working with ML/statistical models
- Strong skills in modelling, mathematics, and problem formulation
- You have had experience with designing, training and implementing of predictive models or optimisation algorithms in a production environment
Your strengths
- You enjoy turning messy real-world problems into structured models
- You are comfortable working across ML, statistics, and optimisation
- You are curious about LLMs and modern AI — but not driven by hype
- You can prototype solutions in Python and collaborate with engineers on production
For this position, we value strong analytical thinking and modelling ability more than deep software engineering expertise.
We think the strongest teams are built on diversity and inclusivity. Contrasting opinions, varied skills, and strong characters bring out the best in us all. And we cannot wait for you to join.
*Working at DFDS
Join the movement and grow with us**
We promote a great workplace with a diverse and vibrant community. Our award-winning headquarters in Copenhagen offers a modern workspace with ocean views and easy access to public transport.
Beyond the day-to-day work, DFDS has a strong social and community culture, including employee sports clubs, choir, and other shared activities — as well as on-site facilities that make it easy to connect with colleagues across teams.
You will join an environment focused on:
- Real-world impact over hype
- Learning and experimentation
- Continuous development through T&I’s career development model, GROW
What you'll work on
- Translate operational problems into analytical and modelling approaches.
- Develop ML models, statistical methods, and optimisation solutions
- Design and build AI products leveraging agentic workflows where they create real value
- Build MVPs and iterate them into production with engineers
- Collaborate with stakeholders and communicate results clearly