At a Glance
- Tasks: Automate energy project assessments using AI and Python to speed up clean energy deployment.
- Company: Exciting VC-backed climate tech startup focused on renewable energy solutions.
- Benefits: Gain hands-on experience, work with industry experts, and contribute to a sustainable future.
- Other info: Fast-paced startup environment with opportunities for personal and professional growth.
- Why this job: Make a real impact in the renewable energy sector while developing cutting-edge AI skills.
- Qualifications: Knowledge of renewable energy and proficiency in Python; passion for solving data challenges.
The predicted salary is between 70000 - 90000 £ per year.
- Technology, Information and Internet Full Time Entry Level
- AI-Native 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 Title AI-Native Energy Analyst Salary Not Disclosed Company Description VC-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
AI-Native Energy Analyst at VC-backed climate tech startup in London employer: Rise Social
Rise Social is an exceptional employer that prioritises the well-being and growth of its employees. Located in Woodford Green, we offer flexible hours, competitive pay, and a supportive work culture that values teamwork and communication. With benefits like increased holiday entitlement, discounts, and a robust pension plan, we ensure our colleagues feel valued and empowered to thrive in their roles.
StudySmarter Expert Advice🤫
We think this is how you could land AI-Native Energy Analyst at VC-backed climate tech startup in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Rise Social!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI-Native Energy Analyst at VC-backed climate tech startup at Rise Social.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Rise Social.
✨Apply Directly through Our Website
When you find a suitable opening like AI-Native Energy Analyst at VC-backed climate tech startup at Rise Social, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI-Native Energy Analyst at VC-backed climate tech startup in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Rise Social, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Rise Social. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Rise Social
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Rise Social!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
