Benjamin Lehmann
About Benjamin Lehmann
Benjamin Lehmann serves as the Group Lead of Data Science & Engineering at PHOENIX CONTACT, a position he has held since 2021. He has a strong academic background in mathematics, holding both a Bachelor of Science and a Master of Science from Rheinische Friedrich-Wilhelms-Universität Bonn.
Work at PHOENIX CONTACT
Benjamin Lehmann has been serving as the Group Lead for Data Science & Engineering at PHOENIX CONTACT since 2021. In this role, he focuses on enabling data-driven value creation within the organization. His leadership in the data science domain emphasizes the importance of leveraging data to drive impactful business decisions. Prior to his current position, he worked as a Data Scientist at PHOENIX CONTACT from 2018 to 2021, where he contributed to various data-driven projects.
Education and Expertise
Benjamin Lehmann holds a Master of Science (MS) degree in Mathematics from Rheinische Friedrich-Wilhelms-Universität Bonn, which he completed in 2018. He also earned a Bachelor of Science (BS) in Mathematics from the same institution in 2016. Additionally, he studied at Seoul National University of Science and Technology for one year, further enhancing his mathematical expertise. His educational background equips him with a strong foundation in quantitative analysis and problem-solving.
Background
Before joining PHOENIX CONTACT, Benjamin Lehmann worked as a Software-Engineering Actuary at Generali for one year in Köln und Umgebung, Deutschland, from 2017 to 2018. This role involved applying mathematical and statistical methods to assess risk and inform decision-making processes. His diverse experiences in data science and actuarial science contribute to his human-centered and technology-driven approach in his current work.
Professional Focus
Benjamin Lehmann emphasizes creating impact through data-driven value creation in his professional endeavors. His focus on enabling organizations to harness data effectively reflects his commitment to advancing data science practices. His approach combines a deep understanding of mathematical principles with practical applications in technology, aiming to foster innovation and efficiency in business processes.