As Head of Data Science at Getty Images, Thomas utilizes data to optimize Getty Images’ connection to the customer journey while leading the organization in the use of data science and engineering in business operations. An experienced statistician and programmer, Thomas works with Getty Images’ Global Demand Generation and Digital Marketing teams to lead the modeling, scoring and prioritizing of leads to maximize revenue through the creation of models to apply to different business challenges and opportunities. Prior to this role, Thomas worked as a Senior Data Science Engineer & Technical lead at DigitalOcean where he was instrumental in overseeing NLP, data collection and machine learning based projects. Thomas also worked as a data scientist at Dow Jones where he designed customer-centric machine learning pipelines and created a customized search algorithm as a product to replace third-party tools among other accomplishments. Thomas obtained a Ph.D. in Biostatistics from the University of Bristol, which was preceded by an MSci in Mathematics & Physics and an MRes in Complexity Sciences.