Intern Economist — Energy Policy & Data Analysis (Hybrid)

Intern Economist — Energy Policy & Data Analysis (Hybrid)

Full-Time 22500 - 27500 £ / year (est.) Home office (partial)
Talan Group

At a Glance

  • Tasks: Support project teams with research and data analysis in energy and climate policy.
  • Company: Talan Group, a leader in strategy and energy consulting.
  • Benefits: Gain hands-on experience, coaching, and feedback on live projects.
  • Other info: Hybrid role based in Birmingham and London with great career growth potential.
  • Why this job: Make a real impact in the energy sector while developing your skills.
  • Qualifications: Interest in economics, public policy, energy, or sustainability.

The predicted salary is between 22500 - 27500 £ per year.

Talan Group is offering an Intern Economist placement within its Strategy and Energy Consulting team, based across Birmingham and London. You will support project teams with research, data analysis and written outputs that inform client work across energy, climate, policy and economic analysis.

The role targets early‑career candidates with an interest in economics, public policy, energy or sustainability and provides coaching, feedback and hands-on experience on live projects in low‑carbon.

Intern Economist — Energy Policy & Data Analysis (Hybrid) employer: Talan Group

Talan Group is an excellent employer that values innovation and collaboration, offering a dynamic work culture where experienced professionals can thrive. With a focus on employee growth, the company provides opportunities for continuous learning and development, particularly in cutting-edge SAP solutions. Working remotely in the UK allows for flexibility while still engaging in meaningful projects that drive transformation across various industries.

Talan Group

Contact Details:

Talan Group Recruitment Team

We think you need these skills to ace Intern Economist — Energy Policy & Data Analysis (Hybrid)

SQL
Problem-Solving Skills
Communication Skills
Python
Data Pipeline Development
Data Engineering
Automation