Andreas Sotiropoulos
Principal Data Scientist @Thomas Murray
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WORK HISTORY
Principal Data Scientist @Thomas Murray
Previously: Lead Data Scientist, Senior Data Scientist, Data Scientist)
EDUCATION
University of Sunderland
Bachelor of Science (BSc), Psychology
University of Lancashire
Master of Science (MSc), Health Psychology
University of Essex
Master of Science (MSc), Cognitive Neuropsychology / Neuroscience
University of Essex
PhD, Applied Cognitive Psychology / Neuropsychology
SKILLS
ABOUT ANDREAS SOTIROPOULOS
As a Principal Data Scientist with a PhD background and more than a decade of applied experience, I specialize in building data-driven solutions that drive operational efficiency, risk mitigation, and strategic insight across global financial institutions and healthcare systems.I combine deep expertise in machine learning (supervised, unsupervised, deep learning), Generative AI (LLMs, prompt engineering), and natural language processing (NLP) with hands-on skills in MLOps, predictive modeling, clustering, and statistical analysis. My work consistently delivers scalable, production-ready analytics products that turn raw and unstructured data into actionable intelligence.Technically, I am proficient in Python, R, SQL, SPSS Statistics, SPSS Modeler, Tableau, and NVivo, and have practical experience implementing OpenAI tools and custom LLM workflows. My GenAI capabilities span a wide range of high-impact, production-grade applications — including intelligent document understanding, automated text and email classification, dynamic questionnaire scoring systems, real-time content summarization, and knowledge extraction from unstructured data. I design and implement custom LLM-based pipelines, combining advanced prompt engineering, fine-tuning, embedding search, and chain-of-thought reasoning to develop scalable AI solutions that automate, augment, and elevate complex analytical workflows across departments. These are just representative examples; my expertise continues to evolve alongside the latest advancements in Generative AI and applied data science.I am passionate about developing innovative, AI-powered systems that solve real business problems. A recent highlight includes leading the delivery of a GenAI-enabled news monitoring platform that outperformed multiple competitor solutions in a live trial and directly secured a strategic client win — a major commercial success.In parallel with hands-on delivery, I actively mentor and supervise data scientists, lead cross-functional collaborations, and bridge the gap between complex models and impactful business decisions. My academic foundation (PhD in Applied Cognitive Psychology/Neuroscience) gives me a strong research mindset and has resulted in publications in top international journals.I thrive at the intersection of data science, AI innovation, and product strategy — transforming bold ideas into high-impact, intelligent systems.
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