At a Glance
- Tasks: Use Python and Data Science to solve complex energy challenges.
- Company: Fast-growing startup in the net-zero energy sector with strong VC backing.
- Benefits: Competitive salary, hybrid work model, and opportunities for real-world impact.
- Other info: Dynamic environment with potential for significant career growth.
- Why this job: Join a mission-driven team tackling energy optimisation for a cleaner future.
- Qualifications: Experience in Python and data science; passion for climate solutions.
The predicted salary is between 45000 - 55000 £ per year.
A fast-growing startup in the net-zero space is looking for a Data Scientist to help build the foundation of real-time energy optimization.
With $10M+ backing from top VCs, they’re tackling one of the energy grid’s toughest challenges: balancing supply and demand to shift usage toward cleaner, cheaper power.
- Small, high-caliber team of engineers
- Greenfield projects with direct real-world impact
- Strong early-stage momentum with solid financial backing
The role:
- Apply Python + Data Science to complex energy problems
- Build 0→1 systems for prediction and real-time optimization
- Work in a mission-driven, learning-focused environment
London-based | Hybrid (2–3 days/week in office)
Responsibilities:
- Apply Python + Data Science to complex energy problems
- Build 0→1 systems for prediction and real-time optimization
- Work in a mission-driven, learning-focused environment
Qualifications and Employment Details:
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Information Technology, Science, and Research
- Industries: Climate Data and Analytics, Technology, Information and Media, and Software Development
Data Scientist in London employer: Acceler8 Talent
Acceler8 Talent, part of the Understanding Recruitment Group, is an exceptional employer located in St Albans, offering a dynamic work culture that prioritises employee growth and development. With industry-leading training, unlimited holiday, and a supportive environment, employees are empowered to thrive and achieve their career goals while enjoying the benefits of being part of an employee-owned business. Join us for a rewarding career in recruitment where your hard work is genuinely recognised and rewarded.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist 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 Acceler8 Talent!
✨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 Data Scientist at Acceler8 Talent.
✨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 Acceler8 Talent.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at Acceler8 Talent, 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 Data Scientist 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 Acceler8 Talent, 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 Acceler8 Talent. 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 Acceler8 Talent
✨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 Acceler8 Talent!
✨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.
