Niamh Glass
About Niamh Glass
Niamh Glass is a Data Scientist with experience in IT solutions and technical support. She has worked at CAPITA Managed IT Solutions and currently serves at Kx, a division of First Derivatives plc, while holding a degree in Computing Technologies from Ulster University.
Work at Kx
Niamh Glass has been employed as a Data Scientist at Kx, a division of First Derivatives plc, since 2019. In this role, she applies her expertise in data analysis and technical solutions to contribute to various projects. Her work focuses on leveraging data to drive insights and support decision-making processes within the organization. Kx specializes in high-performance data analytics, and Niamh's role is integral to the company's mission of delivering advanced data solutions.
Previous Experience at Capita Managed IT Solutions
Prior to her current position, Niamh Glass worked at Capita Managed IT Solutions as a Technical Specialist from 2017 to 2018. During her year-long tenure in Newtownabbey, she gained valuable experience in IT solutions and technical support. This role allowed her to develop a strong foundation in technical problem-solving and customer support, which has been beneficial in her subsequent career as a data scientist.
Education in Information Technology
Niamh Glass studied at Ulster University, where she pursued a Bachelor of Science with Honours in Computing Technologies from 2015 to 2019. Her education provided her with a solid grounding in information technology principles and practices, equipping her with the skills necessary for her career in data science. The program emphasized both theoretical knowledge and practical application, preparing her for roles in the technology sector.
Career Development and Skills Enhancement
Niamh Glass is actively seeking graduate opportunities to further enhance her skills in application analysis and organizational problem-solving. This pursuit reflects her commitment to continuous professional development and her desire to expand her expertise in the data science field. By exploring new opportunities, she aims to build on her existing knowledge and contribute effectively to future projects.