Liam Ellis

Liam Ellis, PhD has extensive work experience in the field of data science and research. Liam is currently serving as the Director of Data Science at GoCardless since November 2021. Prior to this, they worked as the Global Head of Data Science Product at FIS from July 2020 to November 2021.

Between 2016 and 2020, Liam held the position of Head of Data Science at Worldpay, where they successfully built and led a team of senior and junior data scientists. Liam played a crucial role in initiating and delivering key strategic initiatives and generating real business value. Liam identified commercial opportunities, secured investment, and delivered revenue-generating products and services.

From January 2015 to February 2016, Liam served as the Group Head of Decision Systems at Wonga, where they were responsible for the strategic vision and delivery of group Decision Systems and data strategy. Liam led a major strategic transformation project that replaced existing decision systems with compliant and advanced predictive analytics solutions.

Before joining Wonga, Liam worked as the Head of Decision Science at Everline from January 2014 to January 2015. Liam also served as the Lead Analyst at paylater.com from August 2013 to January 2014, where they led a team of analysts in designing risk management strategies and automated decisioning algorithms. Liam mentored a team of data scientists and implemented machine learning and data mining algorithms to meet business requirements.

Liam's earlier experience includes roles such as Senior Risk Analyst at Wonga.com from January 2013 to January 2014, and Post-doctorate Researcher at Linköpings universitet from March 2010 to January 2013. Liam also worked as a Research Fellow at the University of Surrey from February 2008 to February 2010.

Additionally, Liam possesses technical expertise as an R&D Support Engineer at BSS Audio, where they developed firmware for controlling embedded electronics and established a serial communications protocol.

Overall, Liam Ellis, PhD has a strong background in data science, research, and leadership roles, with a track record of delivering significant business value through strategic initiatives and innovative solutions.

Liam Ellis, PhD, has a comprehensive education history in the field of Applied Machine Learning and Data Mining. Liam earned their PhD from the University of Surrey, where they studied from 2004 to 2010. Prior to their doctoral studies, Liam completed their Bachelor's degree in Electrical and Electronic Engineering at the University of Surrey from 2001 to 2004.