Data Scientist
Location; Stockholm
The role
As part of the Digital organization, you’ll work at the intersection of advanced analytics, product development, and energy systems innovation. Your work will translate complex data into practical, high-impact solutions that directly influence how we design, monitor, and scale our solutions.
You’ll collaborate closely with teams across the company from R&D to business areas like Commercial & Industrial, Residential, and Telecom to transform data into a strategic asset.
This role is ideal for someone who thrives in a high-impact environment, enjoys end-to-end ownership, and is eager to drive change in how data science supports business-critical decisions.
Responsibilities:
- Develop and deploy predictive models to optimize energy storage system performance and Virtual Power Plant (VPP) operations
- Design, test and implement algorithms that detect early signs of degradation, anomalies, or system inefficiencies across our product portfolio
- Translate raw data into actionable insights that support product development, operational strategy, and long-term system optimization
- Identify, shape, and lead the implementation of data science use cases in close collaboration with cross-functional stakeholders in Digital and Business Areas
- Ensure scalable, maintainable, and secure access to data assets for analysis and modeling purposes—leveraging cloud-based tools and infrastructure
- Drive the selection and evaluation of relevant methodologies and technologies for machine learning, time series modeling, and optimization
- Build internal awareness and understanding of how advanced analytics can create business and product value, fostering a data-driven culture
Qualifications and experience:
- 3+ years of experience in data science, applied machine learning, or a closely related field, ideally with experience in energy systems, IoT, or industrial optimization
- Proven ability to build and deploy production-grade ML models from end to end—data exploration, feature engineering, training, and evaluation
- Strong understanding of predictive modeling, anomaly detection, optimization, and statistical learning techniques
- Comfortable working with modern data science tools and languages (e.g., Python, SQL, Jupyter, scikit-learn, or equivalent)
- Familiarity with cloud-based environments (e.g. AWS or similar) and version control practices
- Strong communication and storytelling skills—able to engage with both technical and non-technical stakeholders
- Self-driven and confident operating in an emerging, cross-functional environment where business impact matters as much as model accuracy
- Fluent in English, both written and verbal
We offer
- Wellness contribution
- Five extra flexibility days
- Pension
- Department
- Research & Development
- Locations
- Stockholm
- Remote status
- Hybrid
- Employment type
- Full-time
Colleagues
Stockholm
People of Polarium
We have an open and dynamic culture where everybody can make a difference and contribute to the success of the company.
About Polarium
At Polarium, we think big to solve global energy needs. Our employees share the unique task of shaping the future of energy.
We are an impact business contributing to the sustainable energy transformation by enabling renewables, electrification and intermittent power supply. Our cutting-edge and easily adaptable modular battery technology enables us to be in the forefront of developing state-of-the-art sustainable energy storage and optimization solutions for today - and tomorrow. Polarium is headquartered in Stockholm, with production Vietnam and customers across the world.
Already working at Polarium?
Let’s recruit together and find your next colleague.