Senior Data Scientist | Aker Solutions
- Job ID #: 21920
- Location: Fornebu, Norway
- Apply by: October 26, 2026
- Position type: Permanent
We are now looking for a Senior Data Scientist to join our team in our Oslo or Stavanger offices. Join us in developing practical AI solutions that help our people make better decisions, work more efficiently and solve some of the energy industry’s most complex challenges.
What will you be doing? You'll be responsible for experimenting, developing and maintaining AI solutions, and providing support and improvements to users. Ideal candidates have a strong understanding of machine learning, excellent development skills and the ability to translate complex technical concepts into user-friendly language.
We think you should have: A master's degree or higher in Computer Science, Data Science, Software Engineering, Mathematics, Statistics or related fields.
Experience designing, training, fine-tuning, evaluating, and deploying Large Language Models (LLMs) and Vision Language Models (VLMs). Strong programming skills in Python and experience building production-grade solutions using frameworks such as FastAPI, Flask, and Streamlit.
Hands‑on experience with modern machine learning frameworks including PyTorch, TensorFlow, scikit‑learn, and experiment tracking tools such as TensorBoard and MLflow.
Experience developing and deploying AI solutions on cloud platforms such as Azure AI Foundry, Azure Machine Learning, or Azure OpenAI. Knowledge of MLOps practices including CI/CD, model versioning, automated testing, monitoring, observability, and model lifecycle management.
Experience working with structured and unstructured data, feature engineering, data pipelines, and data processing frameworks such as Pandas, Spark, and SQL.
We offer a variety of global and local initiatives which support your well‑being and development, so that you feel valued throughout your career – professionally and personally.
If this sounds like your next career move, we would love to hear from you! Applications will be assessed on an ongoing basis, and candidates may be contacted during the application period. Candidates are encouraged to apply without delay.