BloombergNEF Data Lead (12 Months Contract)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a BloombergNEF Data Lead in London on a 12-month contract, offering a competitive pay rate. Key skills include Python, data analysis, and knowledge of power systems. A Bachelor’s degree and experience in energy policy or software development are required.
🌎 - Country
United Kingdom
💱 - Currency
Unknown
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💰 - Day rate
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🗓️ - Date discovered
September 10, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
On-site
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📄 - Contract type
Fixed Term
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🔒 - Security clearance
Unknown
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📍 - Location detailed
London WC2N 5DU
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🧠 - Skills detailed
#Data Science #Statistics #"ETL (Extract #Transform #Load)" #Computer Science #Strategy #Storage #Mathematics #Python #Deployment
Role description
BloombergNEF Data Lead (12 Months Contract) Location London Business Area Research Ref # 10046117 Description & Requirements BloombergNEF (BNEF) is a strategic research provider covering global commodity markets and the disruptive technologies driving the transition to a low-carbon economy. Our expert coverage assesses pathways for the power, transport, industry, buildings and agriculture sectors to adapt to the energy transition. We help commodity trading, corporate strategy, finance and policy professionals navigate change and generate opportunities. We are seeking a talented, highly motivated individual to join our grids team based in London for an initial 12-month contract. The role will cover the transformation of the power sector, with a focus on the development of transmission and distribution networks. You will be based in our London office, working as part of a global research team at BNEF – the world's leading independent provider of analysis, tools, data and research to decision makers leading change in the energy system. Our data-driven research helps clients stay on top of developments across the energy sector, supported by the unique depth and breadth of the Bloomberg Terminal and bnef.com platforms. Electricity grids stand at the center of decarbonization efforts. Without sufficient, well considered investment the grid risks becoming the bottleneck that prevents us from accommodating the immense growth in wind, solar and electric vehicle charging stations whilst maintaining resiliency in the face of extreme weather impacts. New technologies are becoming essential enablers of delivering this resilience in a cost effective and timely fashion and modelling the evolution of spending on these technologies is essential to capturing the true cost of the transition. This critical but complex area requires a combination of new technologies, policies, business processes and market designs. The grids team covers how the electricity grid will evolve to support a decarbonizing world. We forecast grid capacity, analyze the adoption of emerging grid technologies, assess policy changes, study the role of system flexibility, and build country- and regional-level views on power grid buildout. You will improve our Python modelling of how spending on the electricity grid may evolve during the energy transition, a part of BNEF’s flagship New Energy Outlook. The candidate will also conduct primary research and analysis on the impact of global supply chains on grid spending and energy storage as a transmission and distribution asset. 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. Working at BNEF sometimes feels chaotic; 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! The role: You will join as a contractor for 12 months, tasked with driving forward our in-house modelling of grid investment spending. This model determines the grid spend required to deliver BNEF’s flagship long-term scenarios and is constantly evolving to enhance our offering to clients and incorporate new technologies and trends. As a member of the grids team, you will own the development and testing of this model, build out a long-term development plan with the team lead and help your colleagues to blend their subject matter knowledge into the model wherever possible. You will identify topics of client interest and importance, conduct independent research, generate insightful findings, and produce written reports of publishable quality. You will collaborate with a high degree of professionalism with colleagues and clients from different cultures and countries, in person and remotely. You’ll also develop an internal and external network of industry contacts in order to gather insights, identify trends and collect information. You will be working with colleagues and clients based around the world. We'll trust you to: Develop a roadmap for our in-house grid investment model using Python and own the execution of this roadmap as we transition out of the existing Excel model Develop expertise in the power grid sector and the wider clean energy industry Research, analyze and write about the latest developments in the power grids sector, including policy developments, technology trends, the evolution of transmission and distribution networks, analysis of key player strategies, and other relevant topics Collect and analyze quantitative information on grid technology deployment, economics and costs, and explain these technologies to a wide audience Gather and prioritize data sets pertaining to these topics Write and publish reports in English; conduct fundamental market analysis in Excel and Python Support regular team publications, including market outlooks and investment figures Communicate your research to clients via email, telephone and in-person meetings You’ll need to have: Bachelor's degree in a related field, such as Engineering, Economics, Physics or other sciences Intellectual curiosity and a demonstrated interest in and enthusiasm for the power sector and the role it plays in the transition Strong Python coding and development skills A good understanding of the principles of software development and testing Strong working knowledge of MS Office (Excel, Word and PowerPoint) Confidence conducting numerical analysis and an understanding of statistics. Ability to think critically and develop thoughtful opinions by cutting through the noise of data, finding key patterns, applying judgment to the claims of industry participants and asking insightful questions Ability to distill and communicate complex topics to non-specialist audiences Good time management, initiative and proven ability to work on multiple projects at once. We'd love to see: A Master’s degree in a related field – such as software engineering, data science, computer science, mathematics of engineering Experience working in software development Prior experience working in or analyzing power system fundamentals, transmission and distribution networks, emerging technologies or energy policy. This can include internships, academic research, or prior work experience If this sounds like you: Apply and we will revert on the next steps