Charis Chanialidis is a data science leader based in Glasgow with eight years of experience shaping analytics-driven decision making across finance, energy, and professional services. He currently serves as Head of Data Science at Aggreko, bringing strategic leadership to scale analytics capabilities and previously building the Model Prototyping Lab at Hymans Robertson to turn complex analytics into measurable value. He holds a PhD in Statistics from the University of Glasgow and has a strong academic track record as a postdoctoral researcher, programme director of the online MSc in Data Analytics, and co-writer of two ML courses plus the program’s Prerequisites Math course. His industry impact includes translating modelling into tangible outcomes such as improved operational efficiency, increased client retention, and winning new work. With a blend of rigorous statistical expertise and hands-on leadership, he spans academia and industry to shape data science strategy and education.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Science (BSc), Mathematics, Bachelor of Science (BSc), Mathematics at Ethnikon kai Kapodistriakon Panepistimion Athinon
Graduate Teaching Assistant, Graduate Teaching Assistant at University of Glasgow
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