Master Thesis Testing of State-of-the-Art Data Science and AI Methodology on a Large Service Ti[...]

Bosch Sicherheitssysteme GmbH; Düsseldorf; Hybrid; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

A leading technology company is offering a Master Thesis position in Düsseldorf. The candidate will apply data science and AI methods to analyze a large service ticketing system. Responsibilities include testing KPI extraction methods and developing workflows. Candidates must be enrolled in relevant Master's studies and have good German language skills. This role supports flexibility with mobile working, requiring at least one on-site day per week.

Qualifikationen

• Enrollment at university is required for this thesis.
• Good knowledge of German is essential; English is optional.
• Curiosity and a self-sufficient working style are important.

Aufgaben

• Apply AI methods on the ticket database.
• Test methods for KPI extraction capability.
• Develop custom approaches to interpret domain data.
• Propose workflows for KPI extraction.

Kenntnisse

NLP (Natural Language Processing)

Deep Learning

Python

Ausbildung

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

Tools

Knime

Jobbeschreibung

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

Theodorstraße 293, 40472 Düsseldorf, Germany

Full-time

Bosch Sicherheitssysteme GmbH

Overview

Company: Bosch Sicherheitssysteme GmbH. The Bosch Building Technologies division is one of the largest system integrators for safety and security systems in Germany, covering domains such as fire detection, intrusion detection, video surveillance and related areas. Bosch operates a large field service and remote service organization with a custom ticket system handling tens of thousands of service tickets per year.

Position: Master Thesis

Location: Düsseldorf

Responsibilities

• In this Master thesis you will apply state-of-the-art data science and AI methods on the ticket database.
• You will 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)

49 211 5073 1391

LI-DNI