Energy Forecast Lead

Dallington, West Northamptonshire
9 months ago
Applications closed

Related Jobs

View all jobs

Energy Data Scientist: AI-Driven Grid Innovation

Energy Data Scientist: Trading Analytics & ML Ops

Energy Trading Data Scientist — AI/ML in Edinburgh

Senior Forecasting Data Scientist - Hybrid Energy Analytics

(Senior) Forecasting Data Scientist (m/f/d)

Machine Learning Geoscientist - Jr

Energy Forecast Delivery Lead required for an industry-leading client. You will be based in Northampton, London, or Manchester, and also be able to work from home 2-3 days a week.

This role offers the opportunity to help organisations set accurate carbon and fiscal budgets, purchase REGO's, and secure Power Purchase Agreements as part of their journey to Net Zero. The position involves supporting stakeholders by building and monitoring energy models that adapt to changes in the client's estate.

Energy Forecast Delivery Lead Remuneration

  • £57,000 - £65,000

  • Full holiday package

  • Pension scheme

  • Buying and selling holidays scheme – up to 5 per year

  • Virtual GP appointments - for you and your household

  • Flexible lifestyle benefits – critical illness insurance, dental treatment, affordable tech plus many more choices

  • Employee discounts & cashback platform – discounts from thousands of retailers.

  • Cycle to work scheme - save 30-47% on a brand new bicycle.

  • Recognition and Reward schemes – cash prizes

  • Volunteering - 1 fully paid day to volunteer towards charitable work

  • Free eye tests and £100 towards prescription glasses

  • Annual Wellbeing Health Check

    Energy Forecast Delivery Lead Duties

  • Understand clients' real estate strategies, including energy generation and reduction goals.

  • Collaborate with energy managers, carbon consultants, and data teams to forecast future energy consumption.

  • Build and enhance forecasting models based on historical data and key variables.

  • Develop and deliver energy consumption forecasting models at estate and meter levels.

  • Monitor model accuracy and adapt them to changing client estates and needs.

  • Generate detailed reports on consumption forecasts, carbon footprints, and energy performance.

  • Support system development by incorporating machine learning and automation technologies into forecasting models.

    Energy Forecast Delivery Lead Requirements

  • Experience in energy consumption analysis and data modeling.

  • Proficiency in Microsoft Excel and mathematical software (e.g., Matlab, R, Python).

    Knowledge, Skills & Experience

  • CMVP / PMVA qualification preferred.

  • Experience in energy measurement and verification.

  • Ability to interpret energy data and convert it into actionable future forecasts

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.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.