Stage en Data Science chez Bertrandt

What to expect:

- Conceptualization and implementation of data science projects

- Integration of new data sources and implementation of data preprocessing

- Conducting statistical data analyses and data visualizations

 - Development of algorithms, for example, for pattern/anomaly detection

 - Utilizing LLMs for innovative solution creation for various problems, including the application of prompt engineering, output validation, and evaluation of results

 - Designing and developing software solutions to apply these tasks

- Optimization, automation, and further development of existing applications

- Advising internal and external colleagues in customer projects

- Collaboration in interdisciplinary teams consisting of, for example, data scientists & engineers, system engineers, project managers

What you bring along:

- Studies in data science, computer science, mathematics, natural sciences, or comparable fields of study or relevant professional training

- Excellent knowledge of Python and agile development of software and algorithms

- Good knowledge in the field of machine learning (i.e. scikit-learn, Tensorflow, PyTorch) is required

- Good knowledge of statistics is an advantage

- Experience with LLMs and prompt engineering is an advantage

- Proficiency in cloud and edge technologies, databases, and data processing methods

- Strong communication and persuasion skills at both the operational level and in coordination with management

- High proactivity and self-responsibility

- Fluent English skills