Data & AI Working Student: Analytics & ML Projects

TGW Logistics; Marchtrenk; Hybrid; EUR 30.000 - 36.000; Teilzeit

Benefits dieser Stelle

Flexible working hours

Home office option

International tech environment

Zusammenfassung

TGW Logistics offers a working student position in the Data & AI team to apply data science skills to real-world problems. You will collaborate with data scientists and analysts to analyze large data sets and develop machine learning solutions.

You will gain hands-on experience with Python, SQL, databases and data-driven projects in an international technology company, with flexible hours and a home office option.

Qualifikationen

• Completed Bachelor's degree and ongoing Master's in Data Science, Statistics, Mathematics, Computer Science, AI or related field.
• Good knowledge of Python and SQL.
• Initial practical experience in data analysis, statistics, ML or AI is a plus.
• Understanding of databases, data models and analytical methods.
• Analytical thinking and structured, independent working style.
• High willingness to learn and interest in data-driven topics.
• Proficiency in German and English (written and spoken).

Aufgaben

• Support in analysis and preparation of large data volumes.
• Collaborate on projects in statistics, data science and AI.
• Develop and optimize SQL queries for data analysis.
• Contribute to development, evaluation and optimization of AI/ML models.
• Develop Python scripts to automate data tasks.
• Present and document analysis results for departments and management.
• Collaborate with data scientists, analysts and departments on data-driven projects.

Kenntnisse

Python

SQL

Analytical thinking

German (written and spoken)

English (written and spoken)

Ausbildung

Bachelor's degree

Master's degree in Data Science / Statistics / Mathematics / CS or AI (ongoing)

Tools

Databases

Jobbeschreibung

TGW Logistics offers a working student position in the Data & AI team to apply data science skills to real-world problems. You will collaborate with data scientists and analysts to analyze large data sets and develop machine learning solutions.

You will gain hands-on experience with Python, SQL, databases and data-driven projects in an international technology company, with flexible hours and a home office option.