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- Tasks: Use Python and Data Science to innovate energy optimisation solutions.
- Company: Join a fast-growing Energy Tech startup focused on net-zero goals.
- Benefits: Enjoy hybrid work, financial stability, and the chance to work on greenfield projects.
- Why this job: Be part of a mission-driven team making a real impact in energy consumption.
- Qualifications: Passion for data science and innovation; experience with Python is a plus.
- Other info: Work alongside top minds in tech with $10M+ in funding.
The predicted salary is between 28800 - 48000 £ per year.
We're looking for a Data Scientist to join a fast-growing Energy Tech startup building the critical infrastructure to accelerate net-zero goals. This team is developing cutting-edge solutions to optimize energy usage - predicting and balancing demand in real time to shift consumption to greener, cheaper power.
Location: London (Hybrid, 2/3 days in-office)
Why join?
- 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
Your Role:
- Use Python & Data Science to drive innovation in energy optimization
- Build 0-1 solutions in a mission-driven team
- You are passionate about joining a high-growth, learning-centric team!
Interested? Apply now!
Data Scientist employer: Understanding Recruitment
Contact Detail:
Understanding Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in energy tech and data science. Understanding how data can optimise energy usage will not only impress us but also show your genuine interest in the field.
✨Tip Number 2
Network with professionals in the energy tech sector. Attend relevant meetups or webinars to connect with like-minded individuals and potentially gain insights into our company culture and values.
✨Tip Number 3
Showcase your Python skills through personal projects or contributions to open-source initiatives. This practical experience can set you apart and demonstrate your ability to build innovative solutions.
✨Tip Number 4
Prepare to discuss your passion for sustainability and how it aligns with our mission. We’re looking for team members who are not just skilled but also share our commitment to achieving net-zero goals.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Data Scientist in the context of energy optimisation. Familiarise yourself with the technologies mentioned, such as Python and data science methodologies.
Tailor Your CV: Highlight your relevant experience in data science, particularly any projects related to energy or sustainability. Use specific examples that demonstrate your skills in Python and real-time data analysis.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for energy tech and your desire to contribute to net-zero goals. Mention why you are excited about this startup and how your background aligns with their mission.
Showcase Your Projects: If you have worked on any relevant projects, especially those involving energy optimisation or data-driven solutions, be sure to include them in your application. Provide links to your GitHub or portfolio if applicable.
How to prepare for a job interview at Understanding Recruitment
✨Showcase Your Technical Skills
As a Data Scientist, you'll need to demonstrate your proficiency in Python and data science techniques. Be prepared to discuss specific projects where you've applied these skills, and consider bringing along a portfolio of your work to showcase your capabilities.
✨Understand the Company’s Mission
This Energy Tech startup is focused on accelerating net-zero goals. Make sure you research their mission and values, and be ready to explain how your personal goals align with theirs. Showing genuine interest in their mission can set you apart from other candidates.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving abilities. Practice common data science scenarios and be ready to walk through your thought process. This will help interviewers see how you approach challenges and develop solutions.
✨Emphasise Team Collaboration
Since the role involves working in a tight-knit team, highlight your experience in collaborative environments. Share examples of how you've successfully worked with others to achieve common goals, especially in high-growth or learning-centric settings.
