Eyal Kazin

Lead Data Scientist

London, England, United Kingdom
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Summary

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Senior
🎓
Top School
Eyal Kazin is a Lead Data Scientist based in London with 10+ years of experience turning complex scientific problems into practical, product-facing solutions. Trained as a cosmologist with a PhD from NYU, he blends rigorous statistical thinking and research-grade ML with hands-on engineering across healthcare, biotech, and marketing domains. He has built predictive models for protein design using multi-objective optimisation, improved clinical symptom-checker KPIs at Babylon, and led client-facing analytics that produced measurable business uplifts. Eyal is also a clear communicator and educator—publishing technical articles and translating findings for non-specialist stakeholders to drive decisions. He thrives on simplifying complexity into actionable insights and has a habit of bringing experimental design thinking from the lab into product teams.
code10 years of coding experience
job11 years of employment as a software developer
bookDoctor of Philosophy (PhD), Astronomy and Astrophysics, Doctor of Philosophy (PhD), Astronomy and Astrophysics at New York University
bookS2DS
bookBachelor of Science (BSc.), Physics, Bachelor of Science (BSc.), Physics at Ben-Gurion University of the Negev
bookביה״ס ניל״י
bookMiddle School, Middle School at ORT Colleges
bookHigh School Diploma, Electronics, High School Diploma, Electronics at קציני ים עכו
languagesEnglish, Hebrew, Spanish, Portuguese, French
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Stackoverflow

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Github Skills (47)

probabilistic-graphical-models10
probability9
python9
machine-learning9
statistics9
probabilistic9
probabilistic-models9
statsmodels9
jupyter-notebook8
optimization8
deep-learning8
tensorflow8
cython8
probabilistic-programming8
pytorch8

Programming languages (5)

C++JavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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elzurdo/precision-goal

Aug 2022 - Dec 2024

Contributions:8 PRs, 46 pushes, 9 branches in 2 years 4 months
Material for learning and practicing the technique of multi-objective optimisation
Contributions:113 commits, 10 PRs, 101 pushes in 9 months
practicingoptimizationmulti-objectivetechnique
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Eyal Kazin - Lead Data Scientist