Job
- Level
- Junior
- Ort
- Neutraubling
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Praktikum / Schulpraktikum
Job Zusammenfassung
In dieser Position analysierst du maschinen-, sensor- und prozessdaten zur Entwicklung von Condition Monitoring und Predictive Maintenance-Lösungen. Du bearbeitest Datenaufbereitung, Feature-Entwicklung und erstellst Analysen sowie Visualisierungen.
Job Technologien
Deine Rolle im Team
- 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.
Unsere Erwartungen an dich
Ausbildung
- You are currently pursuing a degree in Computer Science, Data Science, Mechanical Engineering, Automation Engineering, Mathematics, Physics, or a related field.
Qualifikationen
- 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.
Erfahrung
- Ideally, you have gained initial experience with Python, SQL, or Databricks.
Unser Angebot
- 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 engrained in our culture - for a work-life balance in line 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.
Benefits
Gesundheit, Fitness & Fun
Mehr Netto
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
SYSKRON
Als Marke der Krones AG ist SYSKRON spezialisiert auf die Digitalisierung von Produktions- und Kommunikationsprozessen sowie die Optimierung Ihrer Wertschöpfungskette. Wir sind der Digitalisierungspartner für Getränke- und Liquid-Food-Hersteller im Bereich Industrie 4.0 und unterstützen Sie dabei, Ihr Unternehmen fit für die Zukunft zu machen.
Description
- Gründungsjahr
- 2014
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Arbeitgeber-Reviews
von devworkplaces.com
Gesamt
(1 Bewertung)3.6
Workingconditions
4.0Culture
3.5Career Growth
3.4Engineering
3.5
Working Student Data Analytics & Predictive Maintenance
- Ort
- Neutraubling
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
