Data Scientist with a strong background in machine learning
We usually respond within a week
Build the Future of Technology with Professional Galaxy AB
Join a network of talented engineers, developers, cloud specialists, and AI innovators working on impactful projects across Sweden and Europe. At Professional Galaxy AB, we connect top tech talent with companies driving digital transformation in areas like cloud computing, software engineering, data, cybersecurity, and artificial intelligence.
Explore exciting opportunities and grow your career while working with cutting-edge technologies and forward-thinking teams.
Data Scientist (Machine Learning Focus)
We are seeking a Data Scientist with a strong background in machine learning and data engineering, with the following experience:
Must-have experience:
DBT
SQL
GitHub
Agile ways of working
Cloud experience (preferably GCP)
Python programming
Nice to have:
Interest in business applications
Experience with Kubeflow
Assignment Details
Application deadline: 2026-04-30
Start date: 2026-05-04
End date: 2026-11-30
How to Apply
Are you the right person for this assignment, or do you want to recommend a strong candidate?
Please apply directly via the Professional Galaxy AB portal with:
Your updated CV
Your availability to start
A motivation statement describing why you are suitable for this role, referencing previous consulting assignments, education, and personal qualities
Please note: Applications via email will not be accepted. All applications must be submitted through the portal to be valid.
- Locations
- Stockholm
About Professional Galaxy AB
At Professional Galaxy AB, we combine innovative technology with strategic business insights to drive growth and optimize operations. Our expert team provides tailored IT solutions and consultancy services designed to streamline your processes and elevate your competitive edge.
- Innovative recruitment agency based in Sweden.
- Assisting companies in recruiting the right talent at the right time, minimizing costs.
- Submitting qualified candidates based on daily requirements.