Low Carbon Contracts Company
Energy Analyst Intern
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Application Deadline: 18 October 2026
Department: Analytics
Employment Type: Internship
Location: Leeds, England, United Kingdom
Compensation: £30,000 / year
Description
Contract type: Fixed-term contract, flexible contract available: 6-12 months
This internship is aimed at students still undergoing their undergraduate/masters degree.
Hours: 37.5/week
Salary: £30,000
Location: Leeds (LS1 4HR)
WFH policy: Employees are required to attend the office 2 days/week
Flexible working: Variety of flexible work patterns subject to line manager discretion e.g. Compressed 9-day fortnight.
Reports to: Energy Analytics Manager
Deadline Note: We reserve the right to close the advert before the advertised deadline if there are a high volume of applications.
Role Summary
LCCC internships in the Analytics team provide an opportunity for successful candidates to contribute to some of the UK’s most exciting and high-profile Net Zero programmes and projects. These roles also offer the chance to support innovative low-carbon schemes driving progress toward the UK’s 2050 Net Zero target.
During the 6-12 month internship, the Energy Analyst Intern will have the opportunity to work on the planning, development and operation of LCCC’s scheme forecasting models. The team works collaboratively with specialist teams where appropriate such as modelling, data engineering and project management. In addition to scheme forecasting the team directly supports other internal teams with analytical deep-dives and modelling required throughout the year, producing data insights that help the business make informed choices using the best available data and ultimately impact government policy.
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The ideal candidate for the Energy Analyst Internship will have an understanding of energy market fundamentals and will be able to demonstrate a high level of analytical competence. They will be required to take on complex challenges with a sense of urgency and enthusiasm, developing and communicating data insights in a clear and succinct way. Furthermore the candidate will be adaptable and curious, with a strong willingness to learn and develop.
Key Responsibilities
- Perform operational forecasting, including maintaining the model inputs
- Investigate and report on variances between forecast and out-turns
- Ensure continuous improvements of the forecasting tools and processes, based on troubleshooting, lessons learned, energy market development, and policy changes
- Provide general modelling and analysis as required
- Review and collate industry wide data sources and policy development news
- Assist with reporting and interpreting KPIs and other performance metrics
Skills, Knowledge and Expertise
Essential
- A 2:1 degree (or expected for those in their penultimate year) or higher degree in a highly numerate subject is essential. Examples include (but are not limited to): Engineering, Data Science, Computer Science, Economics, Statistics, Mathematics, Operational Research and other quantitative STEM subjects.
- Proficiency in programming languages for data analysis such as Python or R.
- Highly analytical and strong critical thinker
- The ability to communicate clearly and concisely both in person and through written output
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Desirable
- Experience with data visualisation tools (such as Power BI)
- Interest and/or proven exposure in the Electricity sector
Employee Benefits
Benefits
As if contributing to and supporting work that makes life better for millions wasn’t rewarding enough, we offer a full range of benefits too. Key benefits that may be available depending on the role include:
- Annual performance based bonus, up to 10%
- 25 days annual leave, plus eight bank holidays
- Up to 8% pension contribution
- Financial support and time off for study relevant to your role, plus a professional membership subscription
- Employee referral scheme (up to £1500), and colleague recognition scheme
- Family friendly policies, including enhanced maternity leave and shared parental leave
- Free, confidential employee assistance, including financial management, family care, mental health, and on-call GP service
- Three paid volunteering days a year
- Season ticket loan and cycle to work schemes
- Family savings on days out and English Heritage, gym discounts, cash back and discounts at selected retailers
- Employee resource groups
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