Working Student - ML Development (f/m/d)

Frankfurt am Main, DE

Deutsche Börse

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Your area of work

 

In your new position, you will become a member of the Cyber Analytics team, part of Group Security. Cyber Analytics team is responsible for all aspects of Security Information and Event Management (SIEM).  It’s aiming to achieve a proactive detection of threats and improve monitoring of DBG information assets to protect them from cyber-attacks effectively, dealing with implementation and maintenance a state-of-the-art SIEM/SOC tooling, architecture and use cases content in order to support establishing Cyber Defense as a center of excellence for threat intelligence.

Are you a motivated student with a passion for Python development and an interest in Machine Learning? We’re offering an exciting opportunity for a Working Student to join our dynamic Machine Learning team and contribute to real-world projects within the financial industry.

 

Your responsibilities:

 

  • You will support the development and maintenance of Python-based code for machine learning applications
  • You will assist with data preprocessing and analysis using libraries such as Pandas and NumPy
  • You will contribute to the improvement of our ML pipelines, thinking creatively to optimize performance and efficiency
  • Also you will gain practical experience with containerization techniques (e.g., Docker) and cloud deployment practices
  • As well as, you will collaborate with experienced data scientists and engineers in a supportive team environment

 

Your profile: 

 

  • You are currently enrollment in a Bachelor's or Master's program in Computer Science, Data Science, or a related field
  • You have good understanding of Python programming fundamentals
  • You have a demonstrated ability to think abstractly and solve complex problems. This could include experience with algorithms, data structures, or mathematical concepts
  • You are familiar with basic machine learning concepts is a plus
  • You are interested in working with large datasets and applying analytical skills
  • Also you are eager to learn new technologies and contribute to a team
  • You are fluent in written and spoken english, german would be an asset

 

Start date: 01/08/2025

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  4  2  0

Tags: Architecture Computer Science Docker Machine Learning NumPy Pandas Pipelines Python Security

Perks/benefits: Career development

Region: Europe
Country: Germany

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