Deutsche Börse

Working Student – Machine Learning, AI

Deutsche Börse

internship

Posted on:

Location Type: Office

Location: Frankfurt am Main • Germany

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Job Level

Entry Level

Tech Stack

PythonPyTorchScikit-LearnSQLTensorflow

About the role

  • Collaborate with cross-functional teams to take AI use cases from ideation to production
  • Support evaluation of ML/AI use cases and develop Proofs of Concept (PoCs) for selected ideas
  • Assist in designing and implementing ML pipelines, including data preprocessing, model training, and deployment
  • Explore and apply GenAI and agentic AI frameworks where applicable
  • Document findings, model performance, and implementation steps for internal knowledge sharing

Requirements

  • Currently enrolled in a master’s program in Computer Science, Data Science, Machine Learning/AI, or a related field
  • At least 2 years of prior work experience in data science or AI/ML projects
  • Strong foundation in machine learning, neural networks, and large language models (LLMs)
  • Proficient in Python and familiar with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch) and data handling tools
  • Prior experience building agents using LLMs is a plus
  • Strong SQL skills and experience in exploratory data analysis
  • Ability to work independently and take ownership of tasks
  • Fluent in English
Benefits
  • Health insurance
  • Professional development opportunities
  • Flexible work arrangements
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningneural networkslarge language modelsPythonscikit-learnTensorFlowPyTorchSQLdata preprocessingmodel training
Soft Skills
collaborationindependenceownershipcommunication