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Working Student (m/f/d) Quality Process Automation and Digitalization

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Onsite

Working Student (m/f/d) Quality Process Automation and Digitalization

Panasonic

Working Student (m/f/d) Quality Process Automation and Digitalization

Skills

PythonData ScienceAICompliance

2 months ago

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Important information


Contract type:

Part time

Location:

21 Lüneburg, Germany

Work mode:

Onsite

Published on:

29 August 2026

What they need


Lüneburg

Part-time

Student

Education

Details about your job offer

Lüneburg

Part-time

Student

Education

Contact Person

Naemi Malorny

Human Resources

WHAT WE OFFER
  • Modern development tools and methodologies
  • A collegial and sustainability-oriented working environment
  • Work in a young and agile development team
  • Insight into various facets of development through diverse and practical work packages
  • Flexible working hours and appropriate compensation
  • Health promotion through Hansefit
  • Subsidies for the Deutschlandticket (Germany Ticket)
  • Employee discounts, company events, and on-site parking
YOUR RESPONSIBILITIES
  • Support the Quality Department in efficiency and continuous improvement initiatives across processes and tools
  • Analyze existing business and quality processes to identify automation and optimization potential
  • Design and develop custom digital solutions that align with employee needs and real process requirements (main focus)
  • Support the implementation of automation and AI-based concepts in quality-related workflows
  • Collaborate with quality engineers and process owners to translate requirements into technical solutions
  • Assist in data preparation, validation, and analysis for quality and compliance use cases
  • Document developed solutions, concepts, and learnings to enable sustainable use and future scaling
WHAT WE ARE LOOKING FOR
  • Ongoing studies in a technical field (e.g. engineering, computer science, data science, industrial engineering, or similar)
  • Programming experience, ideally with Python (e.g. scripting, data processing, automation)
  • Basic understanding of business processes and structured problem-solving
  • Interest in process automation, digitalization, and AI applications
  • Ability to work independently and analytically with a hands-on mindset
  • Good communication skills and the ability to work with cross-functional teams
POSSIBLE PROJECTS YOU MAY WORK ON
  • AI-supported review and validation of requirements (e.g. consistency, completeness, compliance checks)
  • Automated creation and verification of failure analysis reports (e.g. FMEA-related data processing)
  • Automated verification and plausibility checks of supplier documentation
  • Prototyping internal tools to improve quality transparency and decision-making

Compensation is based on the NiedersachsenMetall collective bargaining agreement in pay grade E02.

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