CHECK24 Fußball GmbH
Werkstudent / Praktikant Data Science(m/w/x)
Full-timeInternshipOn-site
München
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HAHawk
Data Science - Work Student / Intern(m/w/x)
München
Full-time, Part-timeWorking StudentOn-site
AI/ML
Data Science
Nejo AI Summary
Developing AI models for anti-money laundering and fraud detection at a FinTech provider. Strong Python and ML library knowledge required. Direct exposure to real-world financial crime data and AI systems.
Requirements
- Degree in Computer Science or related field
- Ideally experience in AI/ML or FinTech
- Strong knowledge of Python and ML libraries
- Enthusiasm for AI applications and problem-solving
- Strong analytical and data wrangling skills
- Fluent or native business-level English
- Self-starter with independent and collaborative skills
Tasks
- Design and build advanced machine learning solutions
- Develop AI models to detect suspicious activities
- Reduce false positives through model improvement
- Research state-of-the-art techniques to fight financial crime
- Automate processes to improve team efficiency
- Build prototypes to test novel AI-driven approaches
- Illustrate prospective capabilities to the company's customers
- Analyze complex financial datasets to identify patterns
- Present data insights to the leadership team
- Collaborate with Engineering and Product teams
- Integrate models into customer and partner systems
- Document methodologies, experiments, and findings
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- pandas
- scikit-learn
- PyTorch
- TensorFlow
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Hawk and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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HAHawk
Data Science - Work Student / Intern(m/w/x)
München
Full-time, Part-timeWorking StudentOn-site
AI/ML
Data Science
Nejo AI Summary
Developing AI models for anti-money laundering and fraud detection at a FinTech provider. Strong Python and ML library knowledge required. Direct exposure to real-world financial crime data and AI systems.
Requirements
- Degree in Computer Science or related field
- Ideally experience in AI/ML or FinTech
- Strong knowledge of Python and ML libraries
- Enthusiasm for AI applications and problem-solving
- Strong analytical and data wrangling skills
- Fluent or native business-level English
- Self-starter with independent and collaborative skills
Tasks
- Design and build advanced machine learning solutions
- Develop AI models to detect suspicious activities
- Reduce false positives through model improvement
- Research state-of-the-art techniques to fight financial crime
- Automate processes to improve team efficiency
- Build prototypes to test novel AI-driven approaches
- Illustrate prospective capabilities to the company's customers
- Analyze complex financial datasets to identify patterns
- Present data insights to the leadership team
- Collaborate with Engineering and Product teams
- Integrate models into customer and partner systems
- Document methodologies, experiments, and findings
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- pandas
- scikit-learn
- PyTorch
- TensorFlow
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Hawk and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Hawk
Industry
FinancialServices
Description
The company is the leading provider of AI-supported anti-money laundering and fraud detection technology.
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