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An innovative energy tech startup is seeking a talented Quant/Algorithmic Data Scientist to join their mission-driven team. This role focuses on leveraging Python and machine learning to optimize energy usage in a net-zero electricity grid. The startup is well-funded and offers the chance to work on groundbreaking projects that aim to balance energy needs in real time while shifting consumption to greener and cheaper times. Join a tight-knit team of bright minds and contribute to building scalable, real-time energy solutions that will play a critical role in our transition to a decarbonized energy system.
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Position: Quant/Algorithmic Data Scientist
Location: London (Hybrid, 2–3 days in-office)
Seniority: Hiring from Junior - Seniors
I'm searching for a Data Scientist (Quant / Power Trader) to join a fast-growing Energy Tech startup that is building the critical infrastructure to accelerate our transition to net-zero and underpin a decarbonized energy system! They are backed by top VCs & Angel Investors (previously invested in Meta, BeReal, Slack, and more!)
The team is hiring data scientists with a strong quantitative & algorithmic background to optimize energy usage in a net-zero electricity grid. This predicts and balances energy needs in real time and shifts electricity consumption to times when it is greener and cheaper!
Your Role:
Work in a tight-knit team of the brightest minds in tech.
$10M+ in funding - early-stage impact with financial stability.
Greenfield projects building scalable, real-time energy solutions.