
Junior Data Scientist
- Solna, Stockholm
- Permanent
- Heltid
- Machine Learning: Build and operate machine learning models that forecast prices, optimize trading strategies, and drive smarter decisions in volatile energy markets.
- Automation: Enable intelligent automation of trading and asset optimization by embedding ML into operational systems.
- Analytics: Combine business understanding with analytical and technical skills to understand and solve real-world challenges.
- Collaboration: Work closely with team members, stakeholders and domain experts to ensure models are aligned with business needs and continuously improved.
- Data & Infrastructure: Ensure data is ML-ready and leverage tools like Databricks, Kafka, and Azure ML to support robust model operation.
- A strong interest in learning about the energy markets and how Machine Learning can be used solve the real-world problems we face.
- Strong communication skills and a collaborative spirit.
- Python expertise paired with an interest in attaining a software-developer-mindset where you care about good code and stable operation of models.
- Experience building Machine Learning models - ideally forecasting of time series.
- Experience, or eager to learn how to bring Machine Learning Models into real world production.
- An academic degree in Data Science, Computer Science, Engineering, Mathematics, or similar.
- Fluency in English; Swedish is a bonus.
- A welcoming work climate with flat hierarchies, appreciation for own initiative, open discussion culture and zero-tolerance for harassment.
- An International and multi-cultural work environment with energetic colleagues
- Being part of the wider Analysis community, where we eagerly share knowledge and ideas regarding a wide range analytical topics relevant to the energy market
- Opportunities and support for professional growth. For example, the encouragement to do internal rotations to other teams and to visit conferences and trainings
- Flexible working hours, an annual 72 hours reduction of working time and free access to gym and training classes in our Stockholm office and top that off, with the opportunity to work 50% from home.