Nina C. Jensen
About Nina C. Jensen
Nina C. Jensen is a Lead Data Scientist currently working at Daon in Dublin, Ireland. She has extensive experience in data science and quantitative analysis, having held positions at various organizations including Trinity College Dublin and LogMeIn.
Current Role at Daon
Nina C. Jensen serves as the Lead Data Scientist at Daon, a position she has held since 2022. In this role, she is responsible for leading data-driven initiatives and projects, utilizing her extensive background in data science and analytics. Her work contributes to the development of innovative solutions that enhance the company's offerings in identity verification and authentication.
Previous Experience in Data Science
Before joining Daon, Nina held several significant positions in the field of data science. She worked as a Senior Data Scientist at LogMeIn from 2019 to 2021, where she focused on data analysis and model development. Prior to that, she was a Senior Quantitative Analyst at The AA (Ireland) from 2017 to 2019, and she also served as a Staff Data Scientist at LogMeIn for a brief period in 2021. Her experience spans various roles that emphasize quantitative analysis and data-driven decision-making.
Academic Background and Qualifications
Nina C. Jensen has a strong academic foundation in physics. She earned her Bachelor of Science (B.Sc.) in Physics from Universität Bremen, where she studied from 2005 to 2008. She then pursued further studies at Trinity College Dublin, achieving a Doctor of Philosophy (PhD) in Physics from 2008 to 2012. This rigorous academic training has equipped her with analytical skills applicable to her data science career.
Research Experience at Trinity College Dublin
Nina worked at Trinity College Dublin, where she was involved in research as a Postgraduate Student from 2008 to 2012 and later as a Postdoctoral Researcher from 2013 to 2016. During her time at the School of Physics and the School of Chemistry, CRANN, she contributed to various research projects, enhancing her expertise in data analysis and scientific research methodologies.
Internship Experience
Nina's early career included an internship at brand eins Medien AG in 2003, where she gained initial exposure to the professional environment. This experience laid the groundwork for her subsequent academic and professional pursuits in data science and quantitative analysis.