Data Scientist

Tibber
Berlin

We're at a pivotal moment for both Tibber and the planet. When joining Tibber, you won’t just help scale a forward-thinking tech company – you’ll contribute to a real shift in how people consume electricity. With millions of smart devices connected to the Tibber platform (like electric vehicles and smart thermostats), we have one of the most unique energy trading portfolios on the market.

We’re looking for a Data Scientist to join us in making the energy transition happen – maybe that’s you?

Job Mission

As a Data Scientist, you'll play a key role in keeping Tibber's energy trading function one step ahead. You'll build and continuously improve a whole portfolio of models: the forecasts our traders lean on when they buy power, and the models that decide how our virtual power plant puts thousands of home batteries and electric cars to work. You will have a direct, measurable impact on our trading outcomes.

What you'll do ✅

Build and improve day-ahead energy consumption forecasting models that the trading team uses to make power purchase decisions.
  • Own the full model lifecycle - problem framing, data sourcing, model development, production deployment, and ongoing performance monitoring.

  • Take models from exploratory notebooks to reliable, production-ready Python systems built for live trading conditions.

  • Collaborate with backend engineers to bridge model outputs into production infrastructure.

  • Diagnose and respond to operational issues - missing data inputs, model drift, or unexpected forecast failures, without waiting to be asked.

  • Continuously raise the accuracy and reliability of our established forecasting systems with direct impact on trading outcomes.

What we're looking for⚡

You are driven by impact and know how to turn strategy into execution. You're used to fast-paced environments and thrive when given clear goals and high accountability. We believe you'll thrive here if you:

  • Have built and deployed forecasting or time-series models in production - not just in notebooks, and can speak to how those models held up in practice

  • Write clean, maintainable Python - this is your primary language and you use it comfortably across the full stack from data wrangling to production code

  • Enjoys owning a project end-to-end - from scoping and data sourcing to a measured outcome

  • Are curious about the energy trading domain - and motivated to understand the market mechanics behind the models, not just the math

  • Are a team player - you learn from those around you and share what you know freely

  • Are excited by AI tools - and how they are changing the way data scientists work and actively look for ways to build smarter, faster workflows with them.

We see it as a plus bust not a must if you also bring: experience in energy, power markets, or demand forecasting in regulated markets.

‍♀️‍♂️The Tibber Mindset

Tibber is not your typical energy supplier. Our tech helps hundreds of thousands of households lower and shift their energy consumption to more sustainable and affordable hours. We’re here to accelerate the energy transition – not in theory, but in everyday life.

Being on a mission to change an industry, fundamentally also means being prepared for the unexpected. We do what others say can’t be done, try and fail together but never lose sight of our users. We work passionately with sustainability and a circular approach, both with our own products and in the entire ecosystem that is affected by everything we do.

Starting out with two passionate founders in 2016, we're now 300+ people working for Tibber in our offices in Stockholm, Førde, Berlin, Amsterdam, and Oslo. We will continue to grow within our markets, and we are thrilled to be backed by investors like Balderton Capital, Eight Roads Ventures, Founders Fund, Summa, and Schibsted.

Diversity of thought fuels better products, so we welcome applicants of every background, identity and lived experience. Ready to be part of powering the energy transition? Apply below!

Veröffentlicht am 2026-09-12

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