Senior Data Scientist

This website uses cookies to ensure you get the best experience. Flower and our selected partners use cookies and similar technologies (together “cookies”) that are necessary to present this website, and to ensure you get the best experience of it. If you consent to it, we will also use cookies for analytics purposes. See our Cookie Policy to read more about the cookies we set. You can withdraw and manage your consent at any time, by clicking “Manage cookies” at the bottom of each website page. Accept all cookies Decline all non-necessary cookies Cookie preferences Skip to main content Career menu Employee Log in as employee Candidate Log in to Connect Flower Share page Facebook X LinkedIn Mail Stockholm Senior Data Scientist Apply! ⚡️ What We DoFlower 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-driven at core. 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 Senior Data Scientist to join us! 👩‍💻 About The Role:As a Senior Data Scientist, you will shape the foundation of Flower’s short-term forecasting capabilities - powering the models that directly drive our daily trading decisions. You will be part of a small, highly skilled team operating at the intersection of data science, energy systems, and close-to-real-time market dynamics.You will own the full lifecycle of your models - from idea to production - working closely with Data Engineers, Machine Learning Engineers, and Energy Market Experts to ensure our forecasting stack runs smoothly and is continuously improving. This is a hands-on role focussed on time-series modelling, rapid experimentation, and the ability to translate data into high-impact operational decisions.What You’ll Do:Build & maintain short term operational forecasting models for energy volumes & prices that drive our trading decisions on a day-to-day basisBuild time series models to understand and explain recurring patterns across different measurements, products and regions to distill signals as features for your next modelPrototype quickly: iterate on simple models, validate rigorously, and scale what works in a dynamic market environmentOwn the full model lifecycle: EDA, feature engineering, model development, validation, deployment and continuous evaluation, supported by our team of DEs, MLEs & Energy Market ExpertsWrite your models in Python, version your code in Git, use CI/CD to ensure full reproducibilityPartner with DEs to evaluate and integrate new data sources (weather, grid conditions, market signals)Collaborate & mentor across other data scientists, quants and engineersWho You Are: Master’s or PhD in Statistics, Machine Learning, Computer Science, Industrial Engineering, Applied Mathematics, Engineering Physics, or a related quantitative field5+ years building and deploying time-series prediction models in production using machine learning or classical methodsStrong command of Python and no stranger to the command line;...