Electricity Maps is the world's most comprehensive electricity data platform - covering real-time, historical, and forecast data on electricity generation mix, power flows, carbon intensity, and prices.
Our work spans two distinct areas:
Sustainability: Clean, structured grid data for emissions reporting and carbon-aware decisions, used by companies like Google, Microsoft, Cisco, and Schneider Electric across 350+ zones with history back to 2015.
Power markets: Price and grid-fundamentals forecasts for traders, battery operators, and asset optimisers managing their exposure to energy markets.
What ties it together is the methodology: we standardise 100+ sources into one schema, flow-trace electricity across borders, and publish signals that reflect what a region actually consumed - not just what it generated. That physical picture of the grid is the foundation everything is built on.
We run short-term price forecasts at 15-minute granularity up to 72 hours ahead and there's always more signals to find and more accuracy to unlock. Price forecasting is the focus, and it draws on the same grid fundamentals data that underpins everything we build. You'll be hands-on in our models, exploring which signals are worth investigating, which features to build, and help evaluate what to look into and not. Day to day that means working on day-ahead market modelling: evaluating new inputs, iterating on existing models, and shipping things that actually run in production amongst other things.
You'll be part of our Data team, collaborating closely across forecasting, modelling, and market expertise. Direction is set together, but you own the execution - from idea to production. We work closely with the commercial team, and through them you get direct feedback from prospects and customers - a loop that feeds back into model improvements and keeps us delivering value.
We move fast, stay pragmatic, and keep it lean so you can spend your time on the work that matters.
Build and improve short-term (72h) price forecasting models for the day-ahead market
Evaluate and prioritise new signals - is this worth adding, how do we forecast it, how do we integrate it, what features do we derive from it?
Debug and improve existing models when you spot gaps or degradation in production
Collaborate across the Data team to shape what we investigate next
Surface modelling insights that connect back to real product and customer decisions
Own model performance end-to-end - from experimentation through to what's running live
Work from a fully scoped spec - we figure out what to build as much as how
Focus purely on research without caring about whether it ships and works in production
Operate in a siloed team disconnected from the product or the customer
Must-haves
Hands-on experience building price forecasting models for the day-ahead market
Strong intuition for feature engineering and signal selection in time-series and market contexts
Comfortable making calls on what to try, what to drop, and what to dig into - and owning those decisions
Comfortable owning model performance in production, not just in development
Understanding of how power market participants (traders, BESS optimisers, grid operators) actually use price forecast data
Able to communicate model behaviour and limitations clearly to non-technical stakeholders
Nice-to-haves
Experience with probabilistic forecasting (prediction intervals, quantile regression)
Familiarity with European power market mechanisms (EUPHEMIA, EPEX, Nord Pool)
MLOps experience - model monitoring, retraining pipelines, drift detection
Familiarity with ENTSO-E data and weather forecast data as forecasting inputs
Our Stack
Relevant to this role: GCP, Python, Pandas, Polars, Scikit-learn, MLFlow, BigQuery, Modal.
You don't need to be an expert in all of these - we care more about how you think and learn than your exact tool history.
Location: Copenhagen (in-office with flexibility)
Type: Full-time
Compensation: Competitive salary + stock options
Benefits: 6 weeks vacation, health insurance, annual company offsite, lunch and snacks at the office
The world’s most comprehensive electricity data platform
Electricity Maps provides global access to electricity mix, prices and carbon intensity. Available in real-time, historically and forecasted.
