Om tjänsten
We're hiring a Data Scientist who can tell the difference between a chart that looks good and a chart that changes a decision.
Elvy helps Swedish households produce, store and use their own renewable energy. Solar, batteries, heat pumps and electricity
retail, all from one partner. Every installation generates a firehose of data (inverter, grid, weather, consumption) and every
decision (pricing, sizing, operations) benefits from someone who can make sense of it.
What you'll do
- Partner with ops, sales and product to answer questions like "why did this cohort's savings drop?" and "should we change how we
size heat pumps?"
Who you are
Fluent in SQL and Python. You'd reach for a notebook before a dashboard tool, and a dashboard tool before a slide deck.
Business-literate. You've worked close enough to a P&L to know why a 2% assumption shift matters.
Curious about physics. Solar and heat pump data obey physical laws. That's a gift to the analyst.
Bilingual enough to work in Swedish and English. A lot of our ops team works in Swedish. Our engineering team works in English.
Current stack:
Frontend: React app in JS/TS, built on Panda CSS (sadly) and TanStack, deployed on Vercel.
Backend: FastAPI in Python, containerized with Docker and deployed on GCP.
Claude is doing alot of things to.
Practical information
Don't match everything? Apply anyway. A good sample of analysis beats a long CV.
Help us prove, with data, that Swedish households save more with Elvy than with anyone else.