National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Head of Energy Analysis

Manchester
3 weeks ago
Create job alert

Inspired PLC

Inspired PLC is a UK market leading technology enabled provider of energy and sustainability advisory services. Since 2000, it has grown in scale and capability and is servicing over 3,400 UK and Irish clients across all sectors.

To enable businesses to respond to the climate emergency, we focus on solving their toughest challenges. By managing data comprehensively, sourcing energy sustainably and reducing carbon efficiently, we allow our clients to control costs effectively, make authentic ESG disclosures, improve their business performance, whilst powering their journey to net zero.

This role is ideally suited to a career minded, ambitious individual who is looking for that unique opportunity to prove what they can do and then be rewarded for it.

We are looking for a Head of Energy Analysis to join our successful PCMG team. This is a Home Based role with some occasional travel to the office required.

Role and Responsibilities

PCMG are the leading energy, telecoms and water cost recovery business in the UK and have obtained refunds and savings for their clients amounting to well over £450 million. We have been established since 1993 and are part of Inspired PLC.

Our customer base covers a wide range of public and private sector organisations. You will manage the energy analysis team and also work on your own accounts to deliver value to clients, in addition to working collaboratively as part of a multi-discipline team.

You will need to have an inquiring mind, an attention to detail and a willingness to learn new things and strong project management skills. You will report to, and be supported by, the Managing Director of PCMG, retaining the responsibilities outlined below:

The successful candidate's responsibilities will include but not be limited to:

  • Leading the Energy Analysis team in order to meet agreed delivery performance indicators

  • Investigating every aspect of Electricity and Gas supplier invoices to identify errors where money can be reclaimed, or areas of ongoing saving.

  • Project management of the entire customer journey from on-boarding to delivering the results of our service.

  • Report writing and presentations to our clients.

  • Negotiating claims with suppliers and other third parties.

  • Preparation of agreed figures ready for client invoicing.

  • Developing a working relationship with your customers. In some cases, client visits may be required.

  • Read and comply with the company Health & Safety Policy; taking reasonable care for the Health & Safety of themselves and others; co-operate with managers and other employees in fulfilling our objectives and statutory duties.

    Experience and Qualifications

    Essential:

  • Energy Industry experience of Electricity and Gas analysis

  • Report writing and presentation skills

  • A good working knowledge of Microsoft Office applications (Excel and Word)

    Desirable:

  • Educated to degree level

  • Big data manipulation and formatting skills

    What we offer

  • Training and development opportunities

  • Company pension

  • Flexible work hours

  • Sharesave scheme

  • Life insurance

  • 4pm finish on Friday

  • Access to a wide range of voluntary benefits through our Inspired Benefits Portal

    If you are interested in the role and would like to be considered, please apply now and a member of our In House Recruitment Team will be in touch. Good Luck

Related Jobs

View all jobs

Global Head of Data Engineering (Basé à London)

Global Head of Data Engineering (Basé à London)

Data Engineering Manager

Senior Data Business Analyst

Junior Market Data Analyst – Crude Oil

Data Analyst - Sustainability

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.