Data Scientist

Job Description

Help us drive the energy transition. Join Eliq as a Data Scientist to shape how millions of people use and understand energy.

Do you love working with data that makes a real-world impact? At Eliq, you'll transform raw energy data into smart, meaningful insights that help millions of people better understand and manage their energy use. You’ll join a highly collaborative team where your work shapes innovative features like energy forecasting, peer comparisons, carbon impact calculations, and disaggregation, contributing to a more sustainable future.

What you will do

• Design, implement, test, and deploy robust machine learning models
• Focus on use cases like forecasting, disaggregation, peer comparisons, and carbon tracking
• Write clean, well-documented, production-ready Python code
• Collaborate closely with product managers, data engineers, and developers to scope and deliver ML-powered features
• Monitor model performance and continuously iterate to improve relevance, accuracy, and impact
• Contribute to design and documentation of solutions to ensure knowledge sharing and long-term maintainability
• Provide mentorship, support, and guidance to other team members, sharing best practices and insights

Who we think you are

You’re more than just a data expert, you’re a problem solver who’s passionate about using machine learning to make real-world impact. You write clean code, think critically, and love turning complex challenges into elegant, scalable solutions. You're also someone who values teamwork and enjoys sharing knowledge just as much as developing it.

We think you’ll thrive at Eliq if you:

• Have 5+ years of hands-on experience in data science roles
• Are highly proficient in Python and SQL, with experience in building ML pipelines
• Have successfully designed and deployed production-grade machine learning models
• Know your way around cloud platforms like Azure, AWS, or Databricks
• Can translate business needs into practical, data-driven solutions
• Have experience (or strong interest) in energy data, time-series modeling, or forecasting
• Communicate clearly, collaborate well across teams, and enjoy mentoring others
• You think big, take initiative, and continuously look for ways to simplify complexity while driving innovation in a fast-moving environment.

What we bring to the table

• Flexible working hours and hybrid work from Gothenburg, Sweden or Vilnius, Lithuania
• 25 business days of vacation per year
• Competitive monthly salary: 50,000–60,000 SEK gross, depending on experience
• Annual team events with colleagues from Sweden, the UK, and other offices
• Flat structure with a culture of autonomy, transparency, and purpose
• Work with a small team that punches well above its weight—and creates measurable environmental and social impact

If you read this far, it’s time to apply:

We think you’re excited to work with a team that moves fast, takes risks, and comes to work every day excited about building products that affect the lives of millions of people while helping to accelerate the transition to clean energy. We would love to hear from you!