Overview

In this role, you’ll transform complex data into analytical models to quantify key sustainability trends, delivering valuable insights to our business and clients.

You’ll work at the heart of a dynamic global intelligence company, gaining skills in market research, writing insights, preparing presentations, and engaging with clients—offering a unique opportunity to grow your expertise in sustainability.

Key Responsibilities:

  • Develop and maintain analytical models on sustainability topics, including green technology costs (e.g., hydrogen, CCUS), carbon pricing, and emissions.
  • Conduct detailed data analysis and interpretation to support forecasts and insights.
  • Create compelling narratives on environmental and sustainability issues.
  • Prepare high-quality reports and presentations for internal and external stakeholders.
  • Collaborate with and support other members of the Sustainability team.
  • Contribute to the development of new products and services.

What You’ll Gain:

  • Deep insight into today’s key sustainability challenges and the chance to provide impactful guidance.
  • Collaboration with respected analysts in a leading market intelligence company.
  • Dedicated support from a line manager and project leads to ensure your success.
  • A global, supportive, and like-minded team committed to your growth.

Qualifications Required:

  • A Bachelor’s degree with a 2:1 or higher from a leading university, ideally in a quantitative discipline such as Economics, Mathematics, Engineering, Science, or Data Science.
  • A good understanding of statistical modelling software, such as R or Python and Excel VBA skills desirable.
  • Able to formalise problems and test solutions – scientific and objective approach
  • A strong aptitude for working with data
  • An enthusiastic team player with a positive and collaborative attitude
  • Clear and confident communicator
  • Organised and delivery-focused with a passion for quality and innovation

We are a global marketing function, working with teams in various locations and time-zones, so a degree of flexibility around working hours may be required, but will be kept to a minimum.