Working Student – Data Products & Machine Learning

About the role

Join Qwist as a Working Student in Data Products and gain hands‑on experience with real transaction data, machine‑learning models, and cutting‑edge tools. You will support fast‑moving projects while collaborating with cross‑functional teams across the company.

Key responsibilities

• Analyse transaction data to uncover patterns that improve the categorisation engine.
• Write Python and SQL queries to explore, clean, and visualise data sets.
• Test new technologies and tools to boost performance and generate insights.
• Develop automation scripts and features that increase team efficiency.
• Review data quality and propose concrete improvements for different markets.
• Contribute to quarterly projects ranging from engine performance to new solution development.
• Document work clearly for reuse and continuous improvement.

Required profile

• Enrolled at a German university for at least the next 12 months.
• Available up to 20 hours per week.
• Proactive, detail‑oriented, and strong team player.
• Fluent in English; intermediate German skills required.
• Quick learner with a curiosity for new tools and topics.

Required skills

• Python
• SQL

What we offer

• Flexible working hours and hybrid work model.
• Monthly benefits budget for mobility, health, or lifestyle.
• Subsidised E‑Gym Wellpass membership.
• Modern, centrally located office with weekly yoga classes.
• Structured feedback, clear growth opportunities, and a purpose‑driven culture.