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Salary
$40k per year
Location
Hybrid (Leeds, United Kingdom)
Seniority
Intern
Visa
Licensed UK visa sponsor
Employment
Internship

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Oct 7, 2026.

Overview
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Low Carbon Contracts Company is a British company that administers contracts supporting low carbon electricity generation. It hires project managers, product and energy analysts, finance reporting managers and commercial managers, with offices in Birmingham and Leeds. The company is headquartered in London, United Kingdom.

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: Quantitative Development 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 Quant Dev Intern will have the opportunity to work on the development of both scheme forecasting models and analytical models, as well as the publication of supporting technical documentation. This quantitative development role requires a deep skillset within computing (python, spark) and statistical modelling; providing technical leadership on the development, testing and de-bugging of the code underpinning our most business critical forecasting models.

The ideal candidate will combine an understanding of energy market fundamentals with state-of-the-art optimisations and data science techniques. 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.

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