Andrew Ginns
About Andrew Ginns
Andrew Ginns is a Lead Machine Learning Engineer with extensive experience in data science and machine learning across various industries. He has worked for notable companies such as Accenture and MICHELIN Connected Fleet, and he advocates for Responsible AI through mentoring and volunteering.
Current Role at Motorway
Andrew Ginns serves as the Lead Machine Learning Engineer at Motorway, a position he has held since 2024. In this role, he focuses on developing and implementing machine learning models to enhance the company's operations and services. His expertise in machine learning allows him to contribute significantly to the technical advancements within the organization.
Previous Experience in Data Science
Prior to his current role, Andrew gained extensive experience in data science across various organizations. He worked as a Senior Data Scientist at MICHELIN Connected Fleet from 2021 to 2023. He also held multiple positions at Accenture, including Lead Data Scientist for Anglo American and Data Scientist for several clients in different sectors. His early career included internships at companies such as Imagination Technologies and Cathay Pacific Airways, where he developed foundational skills in data analysis and business intelligence.
Education and Expertise
Andrew Ginns holds a Bachelor of Engineering (B.Eng. Hons) in Computer Systems Engineering with a Business Management Minor from the University of Birmingham, completed in 2017. He furthered his education with a Master of Science (MSc) in Advanced Computing, specializing in Machine Learning, Data Mining, and High-Performance Computing at the University of Bristol, which he completed in 2018. His academic background supports his expertise in machine learning and data science.
Advocacy and Mentorship in AI
Andrew advocates for Responsible AI practices and volunteers with non-governmental organizations to create data science solutions that address social issues. He also mentors individuals who are new to the fields of artificial intelligence and machine learning, sharing his knowledge and experience to help them develop their skills. His interest in model interpretability and bias within machine learning models reflects his commitment to ethical practices in technology.
Early Career and Internships
Andrew's early career included several internships that provided him with practical experience in data science and engineering. He served as a Data Science Intern at DNB in 2018 and as a Business Intelligence Intern at Cathay Pacific Airways in 2017. Additionally, he worked as a QA Execution Intern at Imagination Technologies in 2016. These roles helped him build a solid foundation in data analysis and machine learning applications.