Job
- Level
- Junior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Internship / school internship
- Location
- Neutraubling
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will analyze machine, sensor, and process data to develop Condition Monitoring and Predictive Maintenance solutions. You will handle data preparation, feature engineering, and create analyses and visualizations.
Job Technologies
Your role in the team
- Möchten Sie die industrielle Transformation aktiv mitgestalten und moderne Datenanalyse sowie Künstliche Intelligenz in realen Produktionsumgebungen einsetzen? Werden Sie Teil unseres Teams und helfen Sie bei der Entwicklung innovativer Lösungen für Condition Monitoring und 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.
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Our expectations of you
Education
- You are currently pursuing a degree in Computer Science, Data Science, Mechanical Engineering, Automation Engineering, Mathematics, Physics, or a related field.
Qualifications
- You have a strong interest in data analytics, Artificial Intelligence, and Predictive Maintenance.
- 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.
Experience
- Ideally, you have gained initial experience with Python, SQL, or Databricks.
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What we offer
- 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.
- Mobile working and flexible time management are firmly ingrained in our culture - for a work-life balance that aligns with your needs.
- We make a point of promoting your individual potential and interests because this is precisely what makes Syskron innovative - and makes you unique.
- To optimally prepare our employees for future challenges, we offer a variety of training opportunities - and you can take advantage of for example on-site workshops as well as online courses.
- In our company, you may take more than 30 days leave each year, for we know: Free time is not only good for the soul, it also recharges your batteries.
- A little party never killed nobody! We feel it is important to have a good time together and therefore also encourage this way of thinking after work.
- In addition to an attractive salary, at Syskron you can also benefit from a bonus system and many other perks such as bike leasing, job tickets and an attractive company pension.
- Dogs are not only allowed at the Regensburg site, they are actually encouraged.
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Benefits
Health, Fitness & Fun
Higher Take-Home Pay
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
SYSKRON
As a Krones AG brand, SYSKRON specializes in the digitization of production and communication processes and the optimization of your value chain. We are the digitization partner for beverage and liquid food manufacturers in the area of Industry 4.0 and support you in making your company fit for the future.
Description
- Founding Year
- 2014
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Employer reviews
by devworkplaces.com
Total
(1 Review)3.6
Workingconditions
4.0Culture
3.5Career Growth
3.4Engineering
3.5
Working Student Data Analytics & Predictive Maintenance
- Location
- Neutraubling
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
