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 Senior Data Scientist to join us in making the energy transition happen – maybe that’s you?
Job Mission
As a Senior Data Scientist, you will help accelerate Data Science at Tibber by bridging the gap between advanced data science and robust production systems. You'll play a key role in building predictive data models that increase our metric of savings per kWh.
What you'll do
Lead the ML platform build. Own the direction of our ML infrastructure: model registries, versioning, monitoring, drift detection and automated retraining, and take it from good to great. This is the core of the role, especially in your first year.
Ship models that move the metric. Develop and deploy forecasting, optimization and personalization models that plug straight into live products like Smart Charging and dynamic pricing.
Strengthen the impact chain. We evaluate every data science service against clear goals. You'll help us take the next step: connecting model quality all the way to realized savings per kWh, through counterfactual evaluation and decision-quality metrics.
Raise the bar with your peers. Review code, sharpen best practices and shape how a senior team works with LLM and agentic AI tools, as colleagues not students.
Own end-to-end delivery. Drive the full lifecycle from problem framing and data sourcing to production deployment and continuous improvement.
What we're looking for
You are driven by impact, enjoy fast-paced environments, and thrive when given autonomy. You've built an ML platform before and know how to go beyond models that work in a notebook to a system a team can trust.
We believe you'll be a great fit if you:
Have a proven track record of developing production-grade ML platforms with drift detection, model registries and CI/CD workflows, and can point to teams that shipped faster because of what you built.
Possess deep technical skills in Python and hands-on experience with cloud ML infrastructure like Databricks MLflow, AWS SageMaker or an equivalent.
Bring deep expertise in at least one ML domain we run in production: time-series forecasting, optimization algorithms or personalization at scale.
Think in platforms, not patches: you build repeatable workflows and you know how to onboard a team of experienced peers into them.
Handle ambiguity well and communicate complex data concepts clearly to product and engineering stakeholders.
Embrace LLM and agentic AI tools as part of how modern data science gets done.
Bonus: experience with energy time-series data, smart charging or grid optimization.
️️The Tibber Mindset
Tibber exists to drive energy independence - away from fossil dependency. Our tech helps hundreds of thousands of households shift their electricity consumption to more sustainable and affordable hours - from electric vehicles to smart thermostats, all connected to the Tibber platform. We strengthen the resilience of the grid. Not in theory. In everyday life.
We win, fail, and grow together, staying curious and pushing for better every day. AI is shaping how we work - and we're on a journey to make it central to everything we do. The further we go, the more our Tibberinos matter - and yes, that's what we call ourselves!
Started by two founders in 2016. Now 300+ Tibberinos across Stockholm, Oslo, Berlin, Amsterdam, and Førde. And we're still just getting started.
You're welcome at Tibber for who you are. We hire for what you can do and how you think - not your background or where you've been. Diverse teams build better products, and we mean that.
