AI- Energy Analyst at VC-backed climate tech startup in London, United Kingdom

The AI-Energy Analyst position at a VC-backed climate tech startup in London involves using AI and Python to automate due diligence for renewable energy projects. The role focuses on screening documentation for risk factors and building an AI platform to expedite project readiness. Ideal candidates should have a background in renewable energy and proficiency in Python, with the ability to manage projects independently in a fast-paced environment.
Technology, Information and Internet Full Time Entry Level

AI- Energy Analyst at VC-backed climate tech startup


United Kingdom

Overview


This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.She will pick the best candidates from Jack's network.The next step is to speak to Jack.Job TitleAI- Energy AnalystSalaryNot DisclosedCompany DescriptionVC-backed climate tech startup

Job Description


You will work at the intersection of renewable energy and AI to automate the due diligence process for energy infrastructure projects.

Using LLMs and Python, you'll help build a platform that screens projects and assesses 300+ risk factors, accelerating the transition to clean energy by replacing slow manual paperwork with traceable, defensible AI insights.

Location London, UK

Why this role is remarkable


Directly influence the speed of global renewable energy deployment by solving a $500B paperwork bottleneck.

Work side-by-side with experienced founders from top-tier backgrounds in energy M&A and AI engineering.

Gain hands-on experience building core AI agent workflows in a sector where the impact is physically measurable.

What You Will Do


Use LLMs and AI agents to screen energy project documentation and regulatory frameworks for risk factors.

Build and run analyses that translate complex market data and developer claims into structured, actionable insights.

Collaborate on the end-to-end development of an AI platform designed to move projects to ready-to-build faster.

The ideal candidate


Strong foundation in renewable energy infrastructure or energy transition through coursework, research, or internships.

Proficiency in Python and a natural inclination to solve complex data problems using generative AI tools.

High degree of self-direction and the ability to own projects end-to-end in a fast-paced startup environment.

Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.


We appreciate this can make them look a bit suspect, but there isn't much we can do about it.


#J-18808-Ljbffr