Pascal Meier
About Pascal Meier
Pascal Meier is a Data Scientist at UBS, specializing in AI, Data, and Analytics since 2023. He has a background in business development and education, holding degrees in Business and Economics from the University of Zurich.
Work at UBS
Pascal Meier currently serves as a Data Scientist in the Center of Excellence for AI, Data & Analytics at UBS, a position he has held since 2023 in Zürich, Switzerland. Prior to this role, he worked as a Project Manager in Business Development for Global FIM from 2022 to 2023, also in Zürich. Additionally, he completed a rotational assignment as a Business Manager for Global FIM APAC in 2022, which lasted for two months in Singapore. His experience at UBS spans various roles, showcasing his expertise in data science and business management.
Education and Expertise
Pascal Meier holds a Master of Arts (MA) in Business and Economics from the University of Zurich, which he completed from 2018 to 2020. He also earned a Bachelor of Arts (BA) in the same field from the same institution between 2015 and 2018. His academic background is complemented by practical experience as a Tutor for Informatik und Wirtschaft at the University of Zurich from 2016 to 2017, and as a Student Assistant at the Chair of Prof. Dr. Backes-Gellner from 2017 to 2020.
Background
Pascal Meier has a strong academic and professional background in business and economics. His educational journey at the University of Zurich laid the foundation for his career in data science and business management. His roles at UBS reflect a commitment to integrating data analytics within business development, demonstrating his ability to adapt and thrive in various environments, including both Switzerland and Singapore.
Professional Experience
Throughout his career, Pascal Meier has gained diverse experience in various roles at UBS and the University of Zurich. His tenure as a Tutor and Student Assistant provided him with valuable insights into the academic world, while his positions at UBS allowed him to apply his knowledge in real-world business scenarios. This combination of educational and professional experiences has equipped him with a unique skill set in data science and business management.