Data Scientist (m/f/x)
Enpal - Berlin, Germany
Posted Apr 30, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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Schedule
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- Weekend work
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Application
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Data Scientist (m/f/x) Berlin, Germany At Enpal, we are not just a company; we are a movement. As a recognized greentech unicorn and one of Europe's fastest-growing energy companies, we're dedicated to making solar energy accessible and effortless for homeowners across the continent. Our innovative business model for solar panels, heat pumps, home energy storage systems, and EV charging stations is redefining the residential energy market. With our mission to empower homeowners to embrace clean energy, we are paving the way for a sustainable, decentralized energy future. As the leading player in residential solar, Enpal is expanding its next frontier: Enpal Energy, our platform for managing, optimizing, and orchestrating millions of distributed energy assets. This includes building Europe's largest Virtual Power Plant (VPP) , connecting solar systems, batteries, heat pumps, and EV chargers to actively stabilize the grid and unlock new revenue streams for our customers. Our vision is bold: to become the driving force in Europe's transition to distributed, intelligent, and clean energy generation. We are looking for a Data Scientist to join our growing Energy Data Science team. Our forecasting models directly support energy trading decisions across one of Europe's largest residential energy communities, and your work will have measurable impact on how we participate in the energy market. This role is ideal for a hands-on data scientist with strong software engineering skills and experience contributing across the full data and ML stack. What you'll do - Research, develop, and productionize time series forecasting models for energy markets
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