At a Glance
- Tasks: Research global data centre trends and analyse their impact on energy markets.
- Company: Globally recognised research and intelligence business in tech and energy.
- Benefits: Competitive daily rate, hybrid work model, and exposure to cutting-edge technology.
- Other info: Fast-paced environment with opportunities for innovation and career growth.
- Why this job: Join a pivotal project at the intersection of AI, data centres, and energy demand.
- Qualifications: Experience in data analysis, Python, SQL, and strong analytical skills.
The predicted salary is between 63000 - 77000 £ per year.
We're supporting a globally recognised research and intelligence business as they expand their capability in one of the fastest-growing areas of the technology and energy markets: Data Centres and AI Infrastructure. This is a unique opportunity for an analytically minded individual to sit at the intersection of data centres, energy infrastructure, power markets, AI and cloud computing, helping to build industry-leading research, datasets and market insight.
You'll work closely with experts across energy, technology and infrastructure, researching the rapid growth of data centre developments and their impact on power demand, electricity markets and wider infrastructure investment.
What You'll Be Doing
- Researching global data centre developments, capacity growth and infrastructure investment trends
- Building and maintaining datasets covering operators, locations, power requirements and project status
- Analysing the impact of AI and cloud computing on electricity demand and energy infrastructure
- Developing automated data collection and monitoring processes using Python, SQL and AI tools
- Working with large, complex datasets to identify trends and generate actionable insights
- Producing client-facing analysis, reports and visualisations
- Engaging with industry stakeholders across technology, utilities, infrastructure and energy markets
- Supporting the development of new research methodologies, analytical tools and market intelligence products
What We're Looking For
- Experience in data centres, digital infrastructure, energy, power markets, research, consulting or a related analytical environment
- Strong quantitative and analytical skills
- Hands‑on experience with Python, SQL and Excel
- Experience working with large or complex datasets
- Interest in AI, automation and data‑driven research techniques
- Ability to transform fragmented information into structured analysis and commercial insight
- Excellent written and verbal communication skills
- Self‑starter mentality with the ability to work independently in a fast‑moving environment
- Data centre, cloud infrastructure or AI infrastructure research
- Power markets, electricity demand forecasting or energy systems knowledge
- Building automated monitoring or data acquisition tools
- Working with alternative datasets and multiple data sources
- Experience using AI‑enabled research workflows, coding agents or LLM‑based tools
Why Apply?
This project sits at the heart of one of the most significant market shifts currently underway. As AI adoption accelerates, data centres are becoming one of the largest drivers of electricity demand globally. You'll have the opportunity to work on cutting‑edge analysis, develop innovative data tools and contribute directly to strategic insight used by major organisations across technology, energy and infrastructure markets.
If you're passionate about data, technology, infrastructure or energy markets and want to work on a genuinely topical and rapidly evolving area, I'd love to speak with you.
Data Centre Analyst in London employer: Nicoll Curtin
Join a dynamic and innovative tech-led company that prioritises a remote-first work culture, fostering collaboration among a small, high-calibre engineering team. With a strong emphasis on ownership and delivery, employees are encouraged to take initiative and contribute to meaningful AI-driven projects, while benefiting from opportunities for professional growth and development in a cutting-edge environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Centre Analyst in London
✨Get Involved in Data Science Meetups
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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 Nicoll Curtin.
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We think you need these skills to ace Data Centre Analyst 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 Nicoll Curtin, 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 Nicoll Curtin. 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 Nicoll Curtin
✨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 Nicoll Curtin!
✨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.
