Jason Mc Ginty

Jason Mc Ginty

Lead Data Scientist @ ONYX Insight

About Jason Mc Ginty

Jason Mc Ginty serves as the Lead Data Scientist at ONYX Insight, where he specializes in decision support systems for condition-based maintenance. He has a diverse background in analytics, engineering, and law, with previous roles at Parity Group PLC and Siemens.

Work at ONYX Insight

Jason Mc Ginty has been serving as the Lead Data Scientist at ONYX Insight since 2021. In this role, he focuses on developing decision support systems for condition-based maintenance. His work includes budget optimization and repair prioritization, utilizing a modern tech stack that features React, FastAPI, PostgreSQL, and Gitlab CI/CD. His contributions are integral to enhancing the operational efficiency and maintenance strategies within the organization.

Previous Experience at Parity Group PLC

Before joining ONYX Insight, Jason worked at Parity Group PLC as a Senior Consultant in Analytics & AI for 11 months from 2020 to 2021. His role involved leveraging data analytics and artificial intelligence to provide insights and solutions, contributing to the company's analytics capabilities while based in Lincoln, England.

Career at Siemens

Jason's career at Siemens spanned several roles from 2013 to 2019. He began as a Project Manager, where he managed the development of fieldPRO inspection software, collaborating with an international development team and engaging with customers. He later transitioned to the role of Data Scientist from 2019 to 2020, and served as a Senior Remote Diagnostic Engineer from 2016 to 2019, further enhancing his expertise in data-driven solutions.

Educational Background

Jason Mc Ginty has a diverse educational background. He studied at The Manchester Metropolitan University, earning a Bachelor of Laws (LLB) from 2004 to 2008. He then attended BPP Law School, where he completed the Legal Practice Course from 2008 to 2011. He further advanced his studies at the University of Lincoln, achieving an MSc By Research in Computer Science from 2017 to 2019.

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