Vacant job

Our client, a leading fashion company based in Stockholm, is looking for a Data Scientist to develop, maintain, and improve recommendation and personalization AI models.

You will own the full ML lifecycle—from data exploration and model development to deployment and monitoring—ensuring scalable, production-ready solutions that drive customer impact. This is a full-time consulting opportunity running from September 21, 2025, to March 31, 2026, 100% remote.

• Develop and maintain current AI models (recommendation models, LLM based applications) and respective pipelines.
• Improve performance and reliability of production systems.
• Collaborate with product managers to identify use cases and deliver POCs.
• Apply MLOps best practices for deployment, monitoring, and maintenance of system.
• Perform ad-hoc data analysis and visualization to inform decisions.

Experience and Skills

• Strong Python skills and production-quality coding experience.
• Practical Deep Learning Experience (Computer Vision, NLP)
• PyTorch, Scikit-learn, TensorFlow
• Proficiency in MLOps, CI/CD in GCP (Vertex AI).
• Git and version control proficiency
• Strong SQL skills
• Practical experience in Recommendation and Personalization Systems
• Experience with LLMs (prompt engineering, RAG, LangChain, LangGraph, Vector Databases).
• Hands-on experience with Docker, Kubernetes.
• Hands-on experience on developing REST APIs.
• Experience with Redis
• Experience with DBT
• Experience with Agile ways of working and collaboration in cross-functional teams.

For this assignment you will be hired as a full-time consultant by Digitalenta. We offer our consultants a generous package including healthcare allowance, insurance policy, paid vacation days and pension savings. In addition, you'll also have a dedicated consultant manager available throughout your employment with us, in addition to optional networking activities with our network of consultants.