Working Student AI Implementation ESG Supply Chain Management d/f/m - Inklusiver Job

RWE Supply & Trading GmbH

To start as soon as possible, part time, fixed term

About the role

Ready to put your passion for sustainability, digital innovation, and AI into action? Join our dynamic Sustainability team at RWE Supply & Trading and be at the heart of how we're shaping the future of energy. Here, your ideas will count and you'll be empowered to leave a real mark, both in your role and for the planet.

Working alongside driven colleagues, you’ll have the unique opportunity to blend analytics and AI with ESG risk analysis, making a tangible impact on how we manage the supply chains of a global energy trading leader. You’ll dive into exciting cross-functional projects, gain first-hand experience in strategic initiatives, and help to bring groundbreaking AI solutions to life.

• Advance the development of global energy trading within the RWE Group and support our strategic vision for sustainable supply chains
• Conduct research into environmental and sustainability risks across international supply chains - including countries, industries, transaction types and trading partners
• Partner with sustainability managers to understand ESG risk assessment and help transform these insights into smart, AI-driven solutions for risk identification, assessment and documentation
• Create and develop AI assistants (personas) for ESG analysis using latest AI chatbot technologies
• Support the implementation and integration of machine learning models into internal processes and systems
• Collaborate on the documentation of digital processes and technical AI solutions

Job requirements and experience

• A strong interest in the transformation of global energy supply chains toward sustainability and a desire to contribute to a greener future
• Enrollment in a degree programme such as computer science, IT, machine learning, engineering, or sustainability - with a genuine flair for technology
• Hands-on experience in creating AI assistants (e.g., GEMS, GPTs) through coursework or real projects
• Practical skills with languages like Python, and familiarity with machine learning tools, databases, or cloud services (AWS, Azure, Google Cloud) are beneficial
• Skilled in Microsoft Office - especially PowerPoint and Excel
• A structured, analytical approach to problem-solving; reliable, self-motivated and a proactive team player
• Commitment to a regular presence on the RWE campus in Essen
• Fluency in English

Advantageous, but not essential

• Background or exposure to ESG and energy markets
• German language skills are a plus

What we value most is someone who continuously demonstrates courage, thrives to create impact and seeks to build trusting, collaborative relationships. So, even if you think you do not yet display all of the skills listed above we would still like to hear from you.

Your benefits

• A role at the forefront of energy transformation, helping to build a climate-neutral future
• Direct collaboration with a network of experts across RWE, enhancing your perspective and professional connections
• Practical insights and skill development in AI, digitalisation, and sustainability - setting you up for a thriving career after your studies
• Freedom to shape your work and contribute your ideas in an empowering, collaborative environment
• A modern workplace at the RWE Campus in Essen, with the guidance and support you need to grow

We value diversity and therefore welcome all applications - regardless of gender, disability, nationality, ethnic and social origin, religion/belief, age, sexual orientation, and identity.