Data Scientist
Solna, Sweden
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Polarium
Polarium® offers smart and sustainable turnkey energy storage solutions that enable our customers to optimize energy usage. ➣ Contact us
We develop and manufacture turnkey energy storage solutions, based on lithium-ion battery technology. Our goal is to engineer technology that both stores and optimizes energy as we shift towards more efficient energy usage and renewable energy sources on a global scale. You’ll have the opportunity to work with exceptional engineers, scientists, developers and more to pave the way for the next big leap in the energy industry through our battery energy storage and optimization systems.
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.
Location; Stockholm
The role
We’re looking for a Data Scientist to help us unlock the full potential of our energy storage systems and digital platforms. You will play a key role in shaping how Polarium uses data to optimize performance, enable predictive maintenance, and support strategic initiatives.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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
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Category:
Data Science Jobs
Tags: AWS Engineering Feature engineering Industrial Jupyter Machine Learning ML models Predictive Maintenance Predictive modeling Python R R&D Scikit-learn SQL Statistics
Perks/benefits: Wellness
Region:
Europe
Country:
Sweden
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