Data Centers & Digital Infrastructure Data Analyst

BloombergNEF (BNEF) is seeking a research analyst on a six-month contract to help build our research products on data centers and digital infrastructure. The role will focus on using generative AI tools to enrich, validate and expand BNEF's project-level dataset of data center assets.

BNEF is a strategic research provider covering global commodity markets and the transformative forces reshaping energy systems and infrastructure. Our experts assess the technological, economic and policy drivers that underpin the transition to a cleaner, more resilient energy economy. We help senior leaders in corporate strategy, finance, policy and commodity trading navigate change and generate opportunities.

BNEF Team Ethos:

To succeed at BNEF we need people who can work in an independent manner and show initiative to develop their own viewpoints, yet be collaborative with colleagues. We don't rely on the status quo, we look for innovative yet pragmatic thinking that turns big ideas into real insights and impact. We need teams that are both dynamic and structured to generate the unique perspectives our clients really value. Our teams are diverse, creative, focused, and fun!

Our Team:

You will be based in our London office, working with BNEF's analysts covering data centers, digital infrastructure and the power systems that serve them. Rapid growth in AI and cloud computing is driving unprecedented demand for data center capacity, and with it new questions about power supply, grid connections, siting, investment and emissions.

Our clients rely on BNEF's project-level data to understand where data centers are being built, who is building them, how large they are and how they will be powered. The team works closely with BNEF's power, grid, utilities and data teams to turn that asset-level view into market sizing, demand forecasts and investment analysis.

The Role:

You will help build and improve BNEF's data center project dataset, helping the team’s sector forecasts.

The role is hands-on and delivery-focused. You will design and run AI-assisted workflows that extract, classify and verify project information from unstructured sources such as company announcements, planning and permitting filings, utility interconnection queues, news and regulatory documents. You will add new attributes to existing records, identify projects we do not yet track and build quality checks so the data can be trusted.

You will work with BNEF analysts to turn the enhanced dataset into research products and client-facing insight. By the end of the contract, we expect the dataset to be materially richer, and the workflows you build to be documented and repeatable so the team can keep using them.

We Will Trust You To:

• Design, build and run generative AI workflows that extract and structure project-level data from unstructured public sources
• Enrich existing data center project records with new attributes, such as capacity, location, developer, operator, status, timeline and power supply arrangements
• Identify and add projects not yet captured in the dataset, and keep records current as projects progress
• Build validation and quality-control checks so AI-generated data is accurate, sourced and auditable
• Document your workflows clearly so they can be maintained and reused after the contract ends

You'll Need To Have:

• A Bachelor's degree or equivalent in science, technology, engineering, mathematics, economics, finance, or another relevant quantitative discipline
• Demonstrated experience using generative AI tools (for example LLM APIs, prompt engineering or agent-based workflows) to extract, classify or analyze data
• Experience with web data collection and data pipelines
• Proficiency in Python and confidence working with large, messy datasets
• Advanced Excel skills
• A strong interest in data centers, digital infrastructure and their impact on energy systems
• The ability to work independently, take ownership and deliver to a fixed timelines

We'd Love To See:

• Knowledge of the data center industry, including how projects are developed, financed, permitted and connected to the grid
• Experience building or maintaining asset-level or project-level databases
• Clear written and verbal communication, including the ability to explain technical workflows to non-technical colleagues
• Experience evaluating LLM output accuracy, for example through benchmarking, human-in-the-loop review or automated checks
• Familiarity with power markets, grid interconnection or energy infrastructure
• Experience in research, consulting, data journalism or a data-focused role

If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.

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