Working Student at Fraunhofer Institute focusing on Data Science and Natural Language Processing. Involved in AI - driven projects with a flexible work schedule.
About the role
- Data Scientist creating machine learning solutions to detect financial crime at a significant financial institution. Leading model development with business stakeholders and engineers while maintaining compliance standards.
Responsibilities
- Design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making
- Collaborate closely with other functions/business divisions
- Lead a team performing complex tasks, using well-developed professional knowledge and skills to deliver on work that impacts the whole business function
- Set objectives and coach employees in pursuit of those objectives
- Engage in complex analysis of data from multiple sources of information to solve problems creatively and effectively
- Shape the Future of Financial Crime Prevention by building solutions that protect customers and strengthen controls
- Contribute across the full model lifecycle—from initial concept and data exploration through to supporting deployment.
Requirements
- Direct experience in designing, developing, and deploying machine learning or statistical models within financial services or similarly regulated industries
- Working experience coding in Python and experience with machine learning and distributed data frameworks (e.g., scikit-learn, PyTorch, Spark)
- Confirmed experience in areas such as Fraud detection, Credit Risk, and Anti-Money Laundering (or similar) in consumer banking
- Responsibility for model lifecycle processes, from inception through development, deployment, and on-going maintenance
- Experience with cloud platforms (AWS, Azure, or GCP) or ML-focused cloud-based services (e.g. Databricks) for advanced data analytics and/or machine learning
- Practical experience applying DevOps/MLOps fundamentals—version control (Git), unit testing, CI/CD pipelines, modular code design—and experience operationalizing models in collaboration with technology teams
- An understanding of model risk management, governance, controls, and documentation within the financial services' regulatory environment.
Benefits
- Health insurance
- Retirement plans
- Flexible work arrangements
- Professional development
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Werkstudent*in in Data Science und Natural Language Processing bei Fraunhofer, tätig in KI - gestütztem Wissensmanagement und innovativer KI - Lösungsentwicklung.
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