Sustainability Data Consultant

Go Green Experts Ltd
1 year ago
Applications closed

Related Jobs

View all jobs

Freelance Spatial AI and Machine Learning Consultant

Freelance Spatial AI and Machine Learning Consulta - Remote

Natural Hazards Data Scientist - Early-career

Associate Director, Data Science/Gen AI Lead - ER&I

Senior Data Scientist

Associate Director, Data Science/Gen AI Lead - ER&I

Sustainability Data Consultant


Go Green Experts is a boutique Net Zero & Sustainability consultancy committed to helping companies lower their carbon emissions and create a robust strategy to achieve Net Zero.


We have recently defined a new strategic vision aligning our future plans to accommodate for continuous growth and delivering maximum impact for our customers.

Due to this we are expanding our team with an exciting opportunity available to join us as a tech driven Sustainability Data Consultant to help deliver exceptional results for our customers and contribute to the growth of our consultancy.


We are excited to hire a trained, like-minded professional with experience of working within a Sustainability consultancy space or has specialised previously in Net Zero projects who is passionate about sustainability and eager to drive real environmental and social change through pioneering data-driven solutions for our customers.


As a Sustainability Data Consultant, you will play a crucial role in helping to guide our stakeholders' environmental objectives by providing qualified advice and guidance during a wide variety of their projects, this will involve processing complex data into clear, digestible reports for our clients and assessing a wide range of business data to produce meaningful roadmaps to achieve decarbonisation and relevant certifications.


This role provides a unique opportunity for a proactive and driven person to take their consulting career to the next level and would be perfect for someone with excellent attention to detail who operates with a hands on approach and has the confidence to test existing ways of working, recognise opportunities and identify innovative solutions.


You will be responsible for processing large and often complex data sets, conducting carbon footprint data analysis and report writing, and supporting the delivery of a wide variety of environmental assessment projects including the definition of Net Zero roadmaps and identifying opportunities for future client support and business growth.


To excel in this role we are looking for someone with who is capable with data management, analysis and reporting tools and has a sound understanding of Net Zero, its global context and reporting standards, with strong knowledge around sustainability fundamentals, practices, and frameworks (e.g., UN Sustainable Development Goals, SBTi, ESOS, SECR, UK SDS, ISO 14001), in data management, analysis and reporting tools.


This person will also have previous experience of partnering with stakeholders and external partners to influence change, using excellent investigative skills to explore and assess intricate sustainability issues and deliver creative solutions.


The ideal candidate will have a Bachelor's degree or higher in Environmental Science, Sustainability, STEM, or related field - or similar linked certifications / qualifications, with at least two years’ experience working in a Sustainability Consultancy or experience of driving environmental change within FTSE 250 organisations and should also have a good understanding of various IT systems and awareness around Machine Learning / AI principles.

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.

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.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.