Working Student Data Science in Internal Audit (f/m/d)

  Our Commercial Audit team is looking for YOU!   

We are Uniper

At Uniper, we are pro-actively transforming the world of energy whilst at the same time ensuring security of energy supply. As an internationally operating company, we work in very diverse teams with the greatest possible working time flexibility for our employees. Our corporate culture is characterized by equal opportunities, mutual appreciation, and respect. With us, you will be able to develop new business models, work on technological solutions for a modern, sustainable, and future-oriented energy supply as well as pro-actively help to shape changes. Interested? Then we will look forward to meeting you!

Your responsibilities

Uniper Internal Audit is set out to “Deliver assurance and advice wherever our business goes”. 

By providing risk-oriented and independent views, we as Internal Audit support continuous improvement across Uniper’s existing and new businesses. Focus area of Commercial Audit Team are the energy trading and risk management functions of our business.

As a Working Student – Data Science in our Commercial Audit team, you will have the chance to contribute to the advancement of our Internal Audit function through application of data science techniques and AI.

Your responsibilities:

• You will help implement Internal Audit’s Data & AI Strategy
• You help us to embed Data Science based techniques and statistical models to our Internal Audit Data Analytics
• You willcooperation assist in designing, developing, and implementing AI-driven solutions, including large language models (LLMs), to enhance audit processes and analytics capabilities
• You will build programmable dashboards, analyse huge chunks of data, apply statistical techniques to datasets to derive insights on the business
• You will support in gathering, cleaning and preparing structured and unstructured data for use in AI models and advanced analytics
• You will be working with the internal audit colleagues as part of our commercial audits to identify and implement use cases, e.g. for risk assessment, pattern analysis and sample testing
• Engage in Uniper’s Data Community and foster cross-team

Your profile

• Pursuing Bachelors or Masters degree in a quantitative field like Data Science, Computer Science, Statistics, Mathematics, Engineering or Energy Sciences
• Understanding of LLM fine-tuning, architecture and prompt engineering. Prior NLP experience or projects is a plus. Experience with Copilot solutions, including Copilot Agents e.g. for automating workflows or analysing available documentation is a plus.
• Experience in using data analytics and data science techniques. Energy trading knowledge is a plus.
• Proficient in a programming language (e.g. Python, R, JavaScript) and a Database Management System (e.g. SQL)
• You enjoy working with people and technology, are open and empathetic towards others
• Effective communication and collaboration skills. You can present and explain technical concepts to non-technical colleagues. And grasp the business context as a basis for your data solution.
• We are an international company with a global reach. We expect fluent English.

Your benefits

• Support to balance private life and work: Sabbaticals, part-time possibilities, family service
• Coaching

• E-car charging stations at almost all Uniper locations

Health offers:

• Flu vaccination
• Preventive health services
• Employee assistance program

Our employees are the reason for our success. Therefore, you will find many other benefits at the local level to help you reach your potential. Energy evolutionary wanted!

 Your contact

If you have any questions, please do not hesitate to contact us at:

career@uniper.energy

Attention! Please apply via the button in this portal. Application documents that reach us by post will not be returned and, like those we receive by e-mail, can unfortunately not be considered!

 Job information 

As an employer, Uniper is committed to diversity and equal opportunities. Therefore, we encourage applications from suitably qualified individuals whose capabilities match the role requirements regardless of gender, origin, disability, age, religion, ideology, sexual identity or marital status. We live inclusion and support flexible working.