Mach aus dieser Rolle ein Vorstellungsgespräch — ein Lebenslauf und ein Anschreiben, die darauf ausgerichtet sind, was dieser Arbeitgeber sucht.
Daimler Truck sucht einen motivierten Praktikanten im Bereich Cash-Flow Analytics, um das Team bei der Skalierung unserer Forecasting-Lösungen zu unterstützen. Du sammelst und analysierst Daten mit Excel und Python, professionalisierst Use Cases in Microsoft Azure (Data Factory & Databricks) und entwickelst die Cash-Flow-Vorhersagemethodik weiter.
Bring deine Wissens- und Ideenvielfalt ein und gestalte Prognosemodelle aus Business- und Data-Science-Perspektive.
Are you passionate about data and eager to apply your skills in a real-world setting? We're seeking a motivated intern to support our Cash-Flow Analytics project. Within this project, you'll contribute to scale and further develop our Cash-Flow Forecasting solution to improve the forecasting quality and explainability as well as give steering impulses to our management. As an intern, you'll collaborate closely with experienced data scientists and business experts. Whether you're interested in machine learning, statistical analysis, or data visualization, this internship offers a unique opportunity to learn and grow.
At Daimler Truck, we change today's transportation and create real impact together. We take responsibility around the globe and work together on making our vision become reality: Leading Sustainable Transportation. As one global team, we drive our progress and success together - everyone at Daimler Truck makes the difference. Together, we want to achieve a sustainable transportation, reduce our carbon footprint, increase safety on and off the track, develop smarter technology and attractive financial solutions. All essential, to fulfill our purpose - for all who keep the world moving.
Our Finance Analytics team develops scalable solutions for Finance & Controlling at Daimler Trucks & Buses with the goal of enabling data-driven decisions and increasing process automation. We employ Artificial Intelligence to analyze large and complex datasets, derive forecasts for key business metrics, and quantify the impact of relevant influencing factors.