Liam Ellis, Phd Email & Phone Number

London, GB

London, GB

Leading the Data Infrastructure, Machine Learning Engineering and Data Science teams to drive revenue efficiency, cost efficiency and operational efficiency at GoCardless

London, GB

Jacksonville, FL, US

Cincinnati, Ohio, US

Successfully built from scratch, lead and mentored a team of senior and junior data scientists, that initiates and delivers key strategic initiatives and real business value. Identified commercial opportunities, won investment and delivered revenue generating products and services.

London, GB

Responsible for strategic vision and delivery of group Decision Systems and data strategy. Owned delivery of major strategic transformation project as part of FCA authorisation programme, to entirely replace existing decision systems with compliant, cloud hosted advanced predictive analytics solutions, delivered on time, to strict deadlines and in budget..

Managed the commercial credit risk portfolio and lead the decision science and analytic team to deliver real time automated decision systems and analytic output to support strategic business decisions.

Lead a team of analysts designing credit and fraud risk management strategies, BI and MI reports and automated decisioning algorithms.Working closely with the senior management team to define business strategies and translate business requirements into analytic tasks and ultimately into production code for high throughput, real time automated decisioning.

London, GB

Develop risk strategy and implement robust business logic for credit and fraud risk management, including building accurate predictive analytic models.Develop innovative anti-fraud measures and generate insight from large complex data. Provide a center of excellence within the team, for Machine Learning, Data Mining and Statistical Analysis.

Linköping, Östergötland, SE

Research fellowship with responsibilities to the GARNICS project (www.garnics.eu) and DIPLECS project (www.diplecs.eu).Development of algorithms (python/matlab) and real-time implementations (C++) for statistical machine learning, data mining and computer vision problems.Technical report/conference/journal paper writing.

Guildford, Surrey, GB

Research Fellowship, with responsibilities to EU research project DIPLECS (www.diplecs.eu).Development of computer vision and machine learning algorithms.Software development (individually and within a team).

Richardson, Texas, US

Supporting development and test engineers in R&D dept. of professional audio equipment design and manufacturing company.Developed new firmware (assembler programming) to control embedded electronics and establish a serial communications protocol. Designed and built test equipment and developed software test scripts (VB/C++).

Phd, Applied Machine Learning And Data Mining

Beng, Electrical And Electronic Engineering