Data Scientist Intern (m/w)

Workplace: 11000, Rabat

Apply online!

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

With more than 50 facilities in Europe, the Bertrandt Group has been providing development solutions for the international automotive and aircraft industry since 1974. Every day, more than 13 000 employees guarantee extensive know - how and support our client (Manufacturer and OEM) with management, design and industrialization solutions.

Bertrandt Technologie Morocco offers you opportunities in the automotive sector (body in white, interior and exterior, layout, powertrain, and electronics). Moreover, we are also present in interdisciplinary field such as project management, quality management, supply chain/industrialization and validations.