Amanda Lee
About Amanda Lee
Amanda Lee is a Senior Data Scientist at Legal & General, where she leads the Data Science Summer Placement Programme and oversees the Data Analytics Apprenticeship Programme. She has a diverse background in data science and analytics, with experience in various roles across multiple organizations in the UK and Hong Kong.
Work at Legal & General
Amanda Lee serves as a Senior Data Scientist at Legal & General, a position she has held since 2020. In this role, she plays a key part in enhancing the analytics function through technical leadership. Amanda oversees the Data Analytics Apprenticeship Programme, managing three data apprentices. She collaborates with teams outside of Group Data Science to ensure alignment in data science strategies and standards. Her expertise includes utilizing tools such as Snowflake, Python, Tableau, and Power BI.
Education and Expertise
Amanda Lee has a solid educational background in mathematical sciences. She studied at Harrogate Ladies' College, where she completed her GCE A-Levels from 2008 to 2010. She then pursued a Bachelor of Science (BSc) in Mathematical Science at Durham University from 2010 to 2013. Furthering her education, Amanda obtained a Master of Science (MSc) in Applicable Mathematics from the London School of Economics and Political Science in 2014.
Professional Background
Amanda Lee has a diverse professional background in data science and analytics. She began her career as a Summer Intern at HSBC Retail Banking and Wealth Management in 2011. Following this, she worked as a Research Intern at Providence Enterprise in 2012. Amanda held various positions at Wavemaker, including Evaluation Executive and Analytics Manager, from 2014 to 2017. She also worked at WaveMetrix as a Research Analyst and at Merkle | Aquila as both an Analytical Consultant and Senior Analytical Consultant before joining Urban as a Senior Data Scientist in 2019.
Leadership in Data Science Education
In her current role at Legal & General, Amanda Lee leads the Data Science Summer Placement Programme, managing three summer placement students. This initiative reflects her commitment to fostering new talent in the data science field. By overseeing apprenticeship programs and summer placements, she contributes to the development of future data scientists, ensuring they gain practical experience and skills necessary for the industry.