Master Thesis Testing of State-of-the-Art Data Science and AI Methodology on a Large Service Ticketi

Bosch Group; Deutschland; Hybrid; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

A leading technology company in Germany is seeking a Master's student for a thesis in Data Science to analyze service ticket data and extract KPIs. The role requires good knowledge of NLP, Deep Learning, and Python. Mobile working is possible with at least one on-site day per week in Düsseldorf. Join us to contribute to innovative data workflows and technologies.

Qualifikationen

• First experiences with NLP, Deep Learning and Python.
• Experience in Knime is a plus.
• Curious person with a self-sufficient working style.

Aufgaben

• Apply data science and AI methods on ticket database.
• Test methods for extracting business KPIs.
• Develop custom approaches to interpret domain data.
• Propose a workflow for KPI extraction.

Kenntnisse

NLP (Natural Language Processing)

Deep Learning

Python

Knime

Ausbildung

Master studies in Data Science, AI, Computer Science, Mathematics, Physics

Jobbeschreibung

Company Description

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people\'s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.

The Bosch Sicherheitssysteme GmbH is looking forward to your application!

Job Description

Bosch Building Technologies is one of the largest system integrators for safety and security systems in Germany, including domains like fire detection, intrusion detection, video surveillance and many other. As system integrator, Bosch is operating a large field service and remote service organisation, including a custom build ticket system, managing several tens of thousands of service tickets per year.

• In this Master thesis you will apply state-of-the-art data science and AI methods on the ticket data base.
• You will also test these methods for their capability to extract meaningful business KPIs from the ticket database.
• Furthermore, you will develop custom approaches to group and interpret the specific domain data.
• Finally, you will propose a viable workflow for KPI extraction for at least one business KPI.

Qualifications

• Education: Master studies in the field of Data Science, Artificial Intelligence, Computer Science, Mathematics, Physics or comparable
• Experience and Knowledge: first experiences with NLP (Natural Language Processing), Deep Learning and Python; experience in Knime is a plus
• Personality and Working Practice: you are a curious person with a self-sufficient working style and willingness to test different approaches
• Work Routine: mobile working possible, at least one on-site day per week in Düsseldorf required
• Languages: good in German, English is optional

Additional Information

Start: according to prior agreement
Duration: 6 months

Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations and if indicated a valid work and residence permit.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Need further information about the job?

Sebastian Meyer (Functional Department) [phone]

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