Working Student / Master Student - Market Analysis (f/m/d)

Our Global Commodity Analysis 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

• Supporting analytical activities with respect to the ammonia market.
• Design and implement a real-time data pipeline to feed the model with live inputs from relevant data sources.
• Work on and enhance the existing ML forecasting model, and implement additional algorithms (e.g., LSTMs, GRUs, Transformer-based models) on Databricks to improve performance and accuracy.
• Integrate the model output into a production-ready environment, ensuring reliability and maintainability.
• Document code, methodologies, findings, and improvements.
• Stay updated on the latest advancements in machine learning, time series forecasting, and MLOps.

Your profile

• Currently enrolled as a master’s student in Computer Science, Data Science, Artificial Intelligence, Energy Economics, Energy Engineering, or another related technical or quantitative field.
• Strong programming skills in Python, including experience with data science libraries (pandas, NumPy, matplotlib, seaborn), and machine learning frameworks (scikit-learn, PyTorch, TensorFlow).
• A solid understanding of ML workflows, including data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, is a must.
• Familiarity with Databricks and Apache Spark (or similar cloud-based ML platforms) for data processing and pipeline development is a big advantage.
• Some previous experience in time series forecasting or predictive modelling.
• Basic knowledge of data engineering concepts, including building and maintaining data pipelines.
• Strong analytical mindset with the ability to work independently and collaboratively.

Your benefits

At Uniper, we not only reward our employees with attractive salaries, an excellent company pension and health related benefits for their hard work and dedication to shaping the future energy transition. You can also expect a supportive working culture that offers a wide range of creative and innovative ideas. We enable various flexible working arrangements, whilst also supporting with home office equipment.

Through regular training and workshops, together we work towards visualising yourself in our company as if it were your own. We support you in highlighting your individual potential, achieving your personal goals, and reaching your ambitions. We invite you to become part of our diverse company with international colleagues from more than 80 countries. As an employer, Uniper has committed itself to providing special support to certain areas:

Work-Life-Balance / New Normal:

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

Mobility:

• 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:

[email protected]

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.