Quantitative Development Intern

Low Carbon Contracts Company; Leeds; On-site; GBP 27,000 - 33,000; Full time

Benefits offered by this job

Annual bonus up to 10%

25 days annual leave

Pension contribution up to 8%

Study support

Volunteer days

Cycle to work

Employee assistance

Job summary

Low Carbon Contracts Company (LCCC) invites applications for a Quantitative Development Intern in Leeds. The role focuses on developing forecasting and analytical models within the Analytics team, contributing to UK Net Zero initiatives.

The internship spans 6-12 months, with a 2 days/week in-office requirement and 37.5 hours per week. Ideal candidates are undergraduate or masters students with strong computing and statistical modelling skills, a 2:1 STEM degree, and hands-on Python/OOP

Qualifications

• An expected 2:1 undergraduate degree in STEM subjects.
• Ability to convey complex technical concepts to non-technical audiences in a meaningful way.
• Experience with Python and Object Oriented Programming.

Responsibilities

• Explore and clean datasets required for modelling purposes.
• Design and build short and long-term energy models used in forecasting, analysis and for generating insights that support various strategic initiatives.
• Testing and deploying updates to the models.
• Producing high quality technical documentation.
• Identifying and streamlining inefficient processes.
• Supporting other teams with modelling, analysis and automation.

Skills

Python

Object Oriented Programming

Forecasting

Data analysis

Education

2:1 STEM degree

Tools

Git

Cloud computing

Job description

Quantitative Development 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: 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.

Key Responsibilities

• Explore and clean datasets required for modelling purposes
• Design and build short and long-term energy models used in forecasting, analysis and for generating insights that support various strategic initiatives
• Testing and deploying updates to the models
• Producing high quality technical documentation
• Identifying and streamlining inefficient processes
• Supporting other teams with modelling, analysis and automation

Skills Knowledge and Expertise

Essential:

• An expected 2:1 undergraduate degree in STEM subjects.

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

• Experience in modelling, forecasting and analysis of complex real life systems
• The ability to convey complex technical concepts to those with little or no modelling background in a meaningful, relevant and engaging matter
• Experience with Python and Object Oriented Programming

Desirable:

• Understanding of the energy markets
• Working knowledge of machine learning tools and statistical techniques
• Experience with Git and cloud computing

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