Grzegorz Rut is a Senior Data Scientist based in Krakow with a PhD in theoretical and mathematical physics and 16 years of quantitative experience bridging academia and industry. He has spent the last decade building and deploying regression, classification and ranking models across insurance, credit scoring and finance, most recently at Genuine Parts Company after leading analytics work for Verisk in the UK. Comfortable with both deep learning (RNNs) and classical ML, he combines dataset engineering, integration and large-scale data analysis with practical business recommendations and junior team supervision. His background in condensed matter physics and postdoctoral research on graphene underpins a rigorous mathematical approach to modeling and a habit of turning complex theory into production-ready solutions. Notably, he has a track record of award-winning applied projects that translated models into measurable business impact. Grzegorz pairs academic depth with commercial delivery, excelling where messy real-world data meets advanced quantitative methods.
16 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Theoretical and Mathematical Physics, Doctor of Philosophy - PhD, Theoretical and Mathematical Physics at Jagiellonian University
Contributions:41 pushes, 1 branch in 5 years 9 months
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