Working Student in Machine Learning – Sustainability Focus

pacemaker.ai by thyssenkrupp

Working student in Machine Learning focusing on sustainability at pacemaker.ai. Supporting development of AI systems and Python data pipelines for carbon footprint calculations.

Posted 7/15/2026part-timeRemote • 🇩🇪 GermanyEntry Level💰 €15 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong capabilities in Python programming and SQL for data analysis, with a foundational understanding of machine learning and experience in developing AI systems. Engages in sustainability topics and possesses excellent communication skills in English.

Highest-signal resume keywords

Python ProgrammingSQL Data AnalysisMachine Learning FundamentalsLarge Language Models (LLMs)Data Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLData AnalysisData ValidationData PipelinesAutomationData ModelingMachine LearningETL ProcessesLarge Language Models

Soft Skills

Excellent Written CommunicationExcellent Spoken Communication

Industry Keywords

SustainabilityData ScienceComputer ScienceMathematicsPhysics

Tech Stack

Tools & technologies

ETLPythonSQL

About the role

Key responsibilities & impact

Support in the development of AI systems.
Optimize Python code for data pipelines.
Perform data analysis and validation using SQL.
Assist with data modeling and automation.

Requirements

What you’ll need

Currently enrolled in a Bachelor's or Master's program in Computer Science, Data Science, Mathematics, Physics, or a related field.
Good Python skills and an understanding of machine learning fundamentals.
Experience with Large Language Models (LLMs) or personal projects in this area.
Good SQL skills for data analysis and ETL processes.
Interest in sustainability topics.
Excellent written and spoken English.

Benefits

Comp & perks

Remote-first culture: ability to work up to 20 days per year from another EU country.
Flexible working hours: structure your workday to suit your needs.
Team Days: promoting exchange beyond day-to-day work.
Equipment: powerful MacBook to support your daily work.
Training: access to Udemy Pro courses for personal development.
Company pension plan provided by thyssenkrupp.
Bike leasing.
Corporate benefits.