Head of Volume Management

Mitie
Bristol
1 month ago
Applications closed

Related Jobs

View all jobs

MDM Profisee Architect

Data Analyst / Document Controller

Data Analyst

Staff Data Engineer and Team Lead

Head of Data Analytics

Head of Data Science

Join us and help deliver the exceptional, every day.


Job Overview


The Volume Management team are the custodians of all knowledge around volume for our customers. They ensure all systems are maintained and contact accurate data to enable all teams to carry out their duties. They are also responsible for the creation of volume forecasts on behalf of our customers to feed into various systems / outputs.


Our Volume Management team provides support to all departments within our Energy and Decarbonisation division and covers volume forecasting, analytical reporting, and some administrative duties for our customers on both fixed and risk managed flexible energy contracts. This position will be responsible for the accuracy and quality of outputs presented to our customers and providing insight driven analytics to our internal teams.

The successful candidate should have a good level of technical knowledge in energy volume management, hedging principals, systems and market fundamentals.


This position will be responsible for the day-to-day management of the team as well as management of the processes that are followed by working with our heads of department to ensure a seamless delivery to our customers.


The successful candidate should have an extensive level of technical knowledge in energy systems, supplier relationships, and have an extensive knowledge of industry charges / systems whilst maintaining a focus on customer management.


Main duties

• Collaborate with our C-Suite customers, establishing strong relationships and offering valuable insights to help them make well informed decisions related to energy and carbon management

• Lead a team of talented energy professionals, ensuring constant opportunities for career growth and development within the team. Completing regular catch ups and annual MiReviews

• Identify and evaluate growth opportunities within the Corporate and SME markets, owning a pipeline of potential projects which will be tracked through our Igniting Growth workstream, and ultimately contributing to the success of the company

• Develop new products such as 24/77 energy around our customer's energy usage building in all energy sources and legislation

• Build bespoke M&T analysis customers and internal teams that will flag, track and highlight areas of abnormal energy usage and provide appropriate actionable insight to our customers

• Expand the teams capability to process and analyse data via BEMS where available to us either directly via our customers or through our TSOC teams

• Collaborate with the trading desk in the analysis of risk management performance, supplementing with delivery of hedging reviews, volume tolerance analysis and other reports as required

• Collaborate with other internal teams to understand non commodity charges applied to customers and present future risks to the wider business

• Any other duty which reasonably falls within the scope of this role

Requirements

• You have at least 5 years' experience or knowledge of the energy sector, particularly in non-commodity charges and supply contract variables

• You will possess an understanding of how volume is recorded and fed through the UK Energy Industry via all relevant parties. Ideally understand the data flow process from end to end

• You have at least 5 years' experience of using energy management solutions / systems to assist you to track, monitor, and optimise energy use for end user customers or internal Energy Management teams

• An understand UK's transmission and distribution frameworks and policy developments for renewable technologies, including existing and new support mechanisms for renewables and interaction with wider market design

• You have experience of monitoring and targeting techniques and be able to demonstrate how these are used to highlight energy use anomalies

• Ideally, you will have experience in forecasting or modelling energy volume

• You excel at producing high-quality communications and presentation materials for senior audiences, with the ability to convey complex topics simply and compellingly.

• Ideally, you will have experience of linking into BEMS to help provide analysis for end user customers

• You have strong quantitative and qualitative skills, you are highly organised with strong interpersonal and management skills with an ability to work to tight deadlines and self-manage priorities amongst multiple tasks

• You possess a demonstrable knowledge of the tools that can be applied to strategic challenges, and you're adept at using these to navigate and resolve complex issues.

• You're willing to work across a range of issues and able to adapt quickly as priorities change

• High proficiency in MS Office applications, including Word, PowerPoint, Access and Excel

• Programming experience in Matlab, SRSS and SQL would be desirable


Knowledge, skills & experience

• Proven background in working in an energy services team

• Demonstrable experience in leading teams

• Track record of working with large data sets, with appreciation of data visualisation

• Knowledge of all industry partners including the MOP/DC/DA market

• An understanding of energy and carbon management terminology, principles, and methodologies

• Proven ability with Excel and other data analytic tools

Person Specification

• Computer literate with a good working knowledge of Microsoft Excel

• An ability to work to deadlines

• An ability to work fast, but accurately

• High attention to detail

• Being able to work under pressure

• Excellent written communication skills

• Self-motivated

• Organised and accurate

• An understanding of the Utilities industry would be beneficial but not essential

• Able to demonstrate self-reliance and ability to manage own time and priorities


The successful candidate will be based in London, Northampton or another Mitie office, but also be expected to attend meetings at customer sites from time to time. Flexible working from home is available 2-3 days per week at management's discretion

Our market-leading offering provides you with benefits that suit your lifestyle.

We have a virtual GP on hand for you and members of your household. So you can get expert advice by video or phone without having to leave your home. We offer financial wellbeing assistance through our Salary Finance scheme. For example, you could access 50% of your earned pay before payday for a small fee. Salary Finance also offers competitive loans.


When you join us, we’ll give you a link to our flexible lifestyle benefits platform, Choices. You might choose to purchase up to five extra days’ holiday each year. You might buy critical illness insurance, seek dental treatment or buy technology products at an affordable cost. There are many choices!


We give you access to high street discounts from thousands of well-known retailers, gyms and more through our MiDeals platform. And we have a cycle-to-work scheme. Life cover of up to four times your salary is available. We also offer enhanced pension contributions, a save-as-you-earn scheme, and a Mitie Matching Share Plan (you could even be awarded free shares in Mitie).

We award our employees with Mitie Stars as recognition for their hard work. There are cash prizes up for grabs each month and at the end of the year there’s a chance to scoop a top prize of £10,000!


Our success is a direct result of the experience and quality of our people. Progressing your career is therefore a top priority for us. We offer a diverse variety of training and development avenues via a wide selection of learning resources to suit you.


Since 1987, Mitie’s 68,000 employees have been maintaining companies globally. We are the UK’s leading facilities management and professional services company, and our clients range from household names in banking, critical government sites as well as hospitals and schools.


Join our Mitie Team.

Together our diversity makes us stronger.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!