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

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

Zusammenfassung

A leading technology company seeks a Master student for a thesis opportunity in Düsseldorf. The position focuses on applying data science and AI methods to analyze ticket data and extract business KPIs. Candidates should be pursuing advanced studies in relevant fields such as Data Science or AI, possess skills in NLP and Python, and have a proactive working style. Mobile working is possible, with one on-site day required weekly.

Qualifikationen

• Prior enrollment at university is required.
• Mobile working option with at least one on-site day per week.
• Good proficiency in German; English optional.

Aufgaben

• Apply data science and AI methods to ticket data.
• Test methods for extracting business KPIs.
• Develop custom approaches for domain data interpretation.
• Propose viable workflow for KPI extraction.

Kenntnisse

NLP (Natural Language Processing)

Deep Learning

Python

Curiosity

Ausbildung

Master studies in Data Science, AI, or related fields

Tools

Knime

Jobbeschreibung

Overview

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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