- Tickets 2023
- Speakers 2023
- DATA festival #Munich
- Employer Branding & Careers
- Blog & News
Across industries an increasing demand for Data Talent can be observed. Not only tech companies, but also traditional companies like DPDHL are hiring Data Scientists, Data Engineers and related roles. This leads to a limited availability despite increasing demand for AI based solutions.
Thorsten describes DPDHL’s approach to tackle this challenge with a structured approach for talent management, organizational enablement of the whole Group and a convenient working environment for Data Scientists and Data Analysts, including Kubeflow and Auto ML.
Thorsten Kranz works as Lead Data Scientist in the Data Analytics Center of excellence at Deutsche Post DHL. He contributes his share to the intelligent digitalization of DPDHLs logistic business by integrating AI into the core processes and driving the adoption of data driven automation and decision making. Thorsten has a background in physics and cognitive neuroscience and has been working for almost a decade as a data science consultant for companies from all major industries, covering the data value chain from machine learning to business strategy.