Quantitative Development Intern

Overview

Develop and maintain energy forecasting models using Python and data science techniques.

Key Responsibilities

• model deployment
• process optimization
• technical documentation
• data cleaning
• energy modelling
• python development

Tasks

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

Requirements

• python
• sql
• excel
• machine learning
• 2:1 degree
• technical communication

What You Bring

WFH policy: Employees are required to attend the office 2 days/week 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. -The ability to convey complex technical concepts to those with little or no modelling background in a meaningful, relevant and engaging matter -A 2:1 degree (or expected for those still in education) or higher degree in a highly numerate subject is essential -Working knowledge of machine learning tools and statistical techniques -Experience with SQL and a strong familiarity with Excel -Experience in using Python -Experience in modelling, forecasting and analysis of complex real life systems

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Benefits

Contract type: Flexible contract available: 6-12 months At LCCC, we are powered by curiosity, driven to learn from different perspectives and experiences as we work towards a flexible energy future. We are committed to fostering a diverse and inclusive workplace where everyone can be their authentic selves and feel empowered to own every outcome. Flexible working: Variety of flexible work patterns subject to line manager discretion e.g. Compressed 9-day fortnight. 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. Salary: £28k -Annual performance based bonus, up to 10% -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 friendly policies, including enhanced maternity leave and shared parental leave -Family savings on days out and English Heritage, gym discounts, cash back and discounts at selected retailers -25 days annual leave, plus eight bank holidays -Financial support and time off for study relevant to your role, plus a professional membership subscription -Up to 8% pension contribution -Employee referral scheme (up to £1500), and colleague recognition scheme

About Low Carbon Contracts Company

-Manages the Contracts for Difference scheme, fixing income for clean energy generators like wind, solar, and emerging tech. -Acts as settlement body for the UK Capacity Market, ensuring reliable power supply by overseeing payments and operations. -Recognized by government departments as a central, authoritative figure in UK electricity market reform. -Typical projects span offshore wind, solar PV, hydrogen, CCUS, tidal stream, geothermal and capacity‑market assets.

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