Konrad Zdeb is a Data Science Lead specialising in fraud detection with 11 years’ experience building and operationalising ML-driven solutions at scale, currently leading NatWest’s fraud data science team. He combines hands-on expertise in Python, R and SQL with deep cloud and data engineering skills across AWS, Snowflake, Hadoop and Spark to turn complex, multi-source datasets into production-grade predictive systems. A proven manager and recruiter, he drives team development, code quality and upskilling while aligning data science strategy with risk, compliance and business stakeholders. His background in public-sector analytics and a PhD from Edinburgh give him a rare blend of rigorous research, spatial and policy analysis alongside commercial fraud prevention. Colleagues describe him as someone who mixes pragmatic engineering with creative experiment design—he still codes in R and enjoys integrating it with other languages for reproducible, impactful solutions.
11 years of coding experience
10 years of employment as a software developer
Data Science Specialization, Data Science, Data Science Specialization, Data Science at Coursera
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at The University of Edinburgh
MRes, Political Research, MRes, Political Research at University of Aberdeen
Bachelor of Arts (B.A.), Applied Social Sciences, Bachelor of Arts (B.A.), Applied Social Sciences at Robert Gordon University
Erasmus Exchange Programme, Applied Social Sciences, Erasmus Exchange Programme, Applied Social Sciences at Örebro University
Simple convenience RStudio add-in inserting assignment operators and pipes
Contributions:1 review, 37 commits, 12 PRs in 5 years 4 months
pipesrstudio-addinrstudioconvenienceadd-in
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.