Scott Taylor
Data Scientist
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolScott Taylor is a data scientist with 14 years of experience applying machine learning and engineering mathematics to real-world problems, currently leading full-stack data projects in London that take green-field ideas through to live deployment. His background spans systems neuroscience (PhD), human motor control research, and large-scale sensor-network analytics, giving him a rare blend of theoretical modelling and production ML expertise. He has built high-throughput data pipelines and predictive systems at startups and industry—co-founding and serving as CTO at a pricing-analytics venture and analyzing OpenSignal's global sensor data to detect free WiFi hotspots. Scott is comfortable across the stack, from web spiders and databases to deep learning for novel NLP problems, and he emphasizes rigorous experimental design and statistical validation inherited from his academic work. He has a track record of turning complex, noisy data into actionable services and models that scale. A less obvious strength is his ability to translate neurophysiological insights about human control strategies into practical algorithms for engineered systems.
14 years of coding experience
2 years of employment as a software developer
Master of Engineering (MEng) Engineering Science, Master of Engineering (MEng) Engineering Science at University of OxfordPhD Systems Neuroscience, PhD Systems Neuroscience at Imperial College London
Github Skills (71)
pii10
python10
crawler10
extractor10
r10
big-data10
scale10
sql10
fann10
data-processing10
spark10
apache10
analytics10
java10
large-scale10
Programming languages (5)
Github contributions (5)
megatron-me-uk/pokerBot
Oct 2014 - Nov 2014
Contributions:24 commits in 1 month
megatron-me-uk/spark
May 2015 - Aug 2015
Contributions:4 PRs, 29 pushes, 5 branches in 2 months
apachebig-datasparkscalaapache-spark
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