Energy Analyst Intern

Low Carbon Contracts Company

Greater London

On-site

GBP 27,000 - 33,000

Part time

7 days ago
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Benefits offered by this job

Annual bonus up to 10%
25 days annual leave + 8 bank holidays
Up to 8% pension contribution
Study support and professional member订
Employee referral scheme
Family friendly policies
Employee assistance programme
Cycle to work
Season ticket loan

Job summary

Low Carbon Contracts Company seeks an Energy Analyst Intern in Leeds to contribute to UK Net Zero initiatives. This 6-12 month fixed-term internship involves planning, developing and operating scheme forecasting models, collaborating with modelling, data engineering and project teams to deliver data-driven insights.

The role requires a strong foundation in energy market fundamentals, a high level of analytical ability, and a willingness to learn.

Qualifications

  • A 2:1 degree in a highly numerate subject is essential.
  • Proficiency in programming languages for data analysis such as Python or R.
  • Strong analytical thinking and clear written and verbal communication.

Responsibilities

  • Perform operational forecasting and maintain model inputs.
  • Investigate and report variances between forecast and out-turns.
  • Improve forecasting tools and processes based on findings and policy changes.
  • Provide general modelling and analysis as required.
  • Review and collate industry data sources and policy developments.
  • Assist with reporting and interpreting KPIs and other metrics.

Skills

Python
R
Analytical thinking

Education

Bachelor's degree (2:1) in a numerate subject

Tools

Power BI

Job description

Energy Analyst Intern

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.

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.

The below experiences can be gained from your academic work, extracurricular or job experiences:

  • 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

Desirable:

  • Experience with data visualisation tools (such as Power BI)
  • Interest and/or proven exposure in the Electricity sector
Employee 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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