Data Scientist - Energy Optimization

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.

⚡️ What We Do Flower is Flexible Power. We are a next-gen energy company leveraging AI and machine learning to make renewable energy stable and always available – even when the sun isn’t shining and the wind isn’t blowing. Through smart optimization and trading of energy assets like wind and solar farms, battery systems, and EV chargers, we make renewable energy reliable and predictable, leading the charge towards the energy system of tomorrow. 🌟 Who We Are Tech company at heart – purpose in our DNA. Flower consists of a diverse group of innovative individuals with a strong desire to improve the state of the world. At Flower, we believe trust, collaboration and diversity are essential to not only create an inclusive work environment, but also drive career growth. By embracing varying perspectives, we allow creativity and progress to flourish. To accelerate towards our goal of becoming the pioneering force powering the energy system of tomorrow, we are now looking for a passionate and skilled Software Engineer to join our Asset Optimisation domain. 👩‍💻 About The Role Our optimization services decide how Flower's flexibility and renewable portfolios are allocated across energy and balancing markets, from days in advance, continuously updating right up to delivery. Our systems run fully automated and dispatch hundreds of MWs of flexible capacity to where the grid or market needs it most. As a Software Engineer, you will join a quant-heavy team of data scientists, optimization engineers and energy market experts. Your focus is the engineering side of these services: architecture, tooling, reliability, system interfaces, observability. This is a hands-on role - you will write code every day and own the standards and foundation the rest of the team builds on. What You'll Do Own the structure and quality of our optimization codebase - architecture, refactoring, testing - and set the engineering bar the team works to Ensure the optimization stack holds up as we scale our portfolio to GW-scale and new geographies Standardize what is currently bespoke, and decide what has to be rebuilt versus hardened Handle reliability and edge cases in the trading path, define graceful failure modes - for example, what should happen when a bid submission fails halfway through? Define interfaces towards other teams and take part in those discussions on behalf of the team Own our optimization environments, infosec hygiene & testing infra across our services Maintain and improve CI, deployments, observability and alerting Who You Are ~ 3–7 years of experience building and running software in production Fluent in Python and related tooling (uv, prek, ruff, ty, FastAPI, Pydantic, DuckDB) Experience managing quantitative models in production (simulation, optimization, heavy batch compute, ML workloads) Experience with AWS (Modal is a plus) Hands-on across the stack, from architecture down to repo settings, pipelines and environments, and the occasional internal frontend Solid instincts for system design and API boundaries, comfortable having these conversations with adjacent teams Pragmatic - you can tell a bad idea from a good one on your own, and you know when good enough is good enough Motivated to work in energy markets & in a trading environment 📍 Location Our beautiful office is located in the heart of Södermalm, just a short walk from Slussen subway station. We encourage in-office collaboration but support a hybrid work model. ✉️ Apply Our corporate language is English, as we have about 30 nationalities in the office. We therefore appreciate it if you could submit your CV in English. Throughout the recruitment process you will meet with the Talent Partner, the Head of Predictions & Asset Optimization, our Product Manager, the Team for a tech assessment and the VP of Engineering. We look forward to hearing from you! —- We kindly but firmly decline any engagement in recruitment assistance for our hiring processes. This includes partnership offers or the sale of recruitment tools.