Working Student - ML Development (f/m/d)
Frankfurt am Main, DE
Deutsche Börse
Die offizielle Website der Gruppe Deutsche Börse mit Informationen zum Unternehmen und den Bereichen Investor Relations, Media, Karriere, Nachhaltigkeit...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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Computer Science Docker Machine Learning NumPy Pandas Pipelines Python Security
Perks/benefits: Career development
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