Working Student Data Analytics & Predictive Maintenance (all genders)

Your favourite drink? Regardless of what it is – it could well be that it was manufactured with the aid of our digitalization solutions.

Why? Because Syskron GmbH is a proud part of Krones.digital – an international community of digital experts within the Krones Group. We are fans of cutting-edge technologies and develop innovative services and solutions that are used in every fourth beverage bottle worldwide. We are all united by the mission to do more than just tick boxes on to-do lists: We want to create real added value for our customers and optimise beverage and liquid food production wherever there is still room for improvement, thereby making our contribution to a sustainable and better future.

Yes, that is ambitious! But we have a plan to make it happen: With people who seize opportunities, are passionate about their ideas and believe in the power of our team. With an open ear, respectful dialogue and mutual support – in the office, from home, from anywhere in the world. With creative freedom and an inspiring environment that drives you forward and helps you to develop personally. That gives you security and leaves room for your life outside work.

Take profit from the following benefits as a student:
We offer you a modern working environment in which we treat each other as equals and focus on fairness and respectful interaction. Flexible working hours, the opportunity to work remotely and a wide range of company discounts support your work-life-university balance. In our office in the heart of Regensburg's old town, you can expect a laid-back atmosphere where dogs are also welcome. Become part of our community, in which everyone, whether full-time employee or student, pursues common goals.

Let's create impact beyond tomorrow – are you in?

Your Tasks:

Do you want to actively shape industrial transformation and apply modern data analytics and Artificial Intelligence in real-world production environments? Join our team and help develop innovative solutions for Condition Monitoring and Predictive Maintenance.

• You analyze machine, sensor, and process data using modern data platforms such as Databricks.
• You support the development and implementation of use cases in the areas of Condition Monitoring and Predictive Maintenance.
• You prepare and transform data, develop relevant features, and create meaningful analyses and visualizations.
• You contribute to the development, training, and validation of Machine Learning and AI models.
• You identify anomalies, patterns, and optimization opportunities within industrial data.
• You document results and support the derivation of data-driven recommendations and actions.
• You collaborate closely with experts from Production, Service, and Data Analytics to develop innovative and impactful solutions.

Your Profile:

• You are currently pursuing a degree in Computer Science, Data Science, Mechanical Engineering, Automation Engineering, Mathematics, Physics, or a related field.
• You have a strong interest in data analytics, Artificial Intelligence, and Predictive Maintenance.
• Ideally, you have gained initial experience with Python, SQL, or Databricks.
• You stand out through your analytical mindset and your ability to work independently and in a structured manner.
• You are passionate about industrial machinery and digital technologies.
• You have very good German language skills and good English language skills, both written and spoken.

Our Benefits:

• Fairness: In our company, we meet each other at eye level and a respectful but also warm and open interaction is very important to us - by the way: we are using our first names regardless of the hierarchy level.
• Flexibility: In addition to flexible working hours, we attach great value to local flexibility in order to offer a great work-life-uni balance. That is why mobile working is an essential part in our philosophy.
• Location: Our employees can meet in a relaxed working atmosphere at the modernly furnished offices. One of our offices is located in the heart of Regensburg's beautiful city centre and can thus be easily reached by all forms of public transport.
• Dogs welcome: Your four-legged friend is more than welcome at the Regensburg site and can spend the day with you in the office.
• Teamwork: Students don't have to make coffee at our company. On the contrary, they are an integral part of our community. Regardless of whether you are a permanent employee or still studying - we see ourselves as one big team with common goals.

Apply Now!

If this sounds interesting to you, we really would like to get to know you!

You can submit your application in German or in English.

Do you have any further questions? For more information please call +49 9431 79857-1111.

To be able to process your application efficiently and promptly, we would kindly ask you to use our online form.

This position is also suitable for people with disabilities.