I am Luke Murphy, a dynamic and results-driven Data Science leader with a proven track record of delivering end-to-end solutions that drive business outcomes. My expertise spans supervised and unsupervised machine learning, big data processing, data mining, statistical analysis, and geospatial analytics across customer, transaction, market research, sensor, operational, and third-party data sources. I excel at translating complex data into clear, compelling narratives that inform decision-making and foster a data-driven culture. Currently Head of Data Science at IONX Networks, I lead a small team delivering analytical solutions to target and deploy 4G/5G small cell networks, and drive strategic adoption of Generative AI across Ops and Sales use cases. I design scalable, innovative solutions and governance frameworks to enable rapid experimentation and business impact while maintaining strong stakeholder collaboration and governance.

Luke Murphy

I am Luke Murphy, a dynamic and results-driven Data Science leader with a proven track record of delivering end-to-end solutions that drive business outcomes. My expertise spans supervised and unsupervised machine learning, big data processing, data mining, statistical analysis, and geospatial analytics across customer, transaction, market research, sensor, operational, and third-party data sources. I excel at translating complex data into clear, compelling narratives that inform decision-making and foster a data-driven culture. Currently Head of Data Science at IONX Networks, I lead a small team delivering analytical solutions to target and deploy 4G/5G small cell networks, and drive strategic adoption of Generative AI across Ops and Sales use cases. I design scalable, innovative solutions and governance frameworks to enable rapid experimentation and business impact while maintaining strong stakeholder collaboration and governance.

Available to hire

I am Luke Murphy, a dynamic and results-driven Data Science leader with a proven track record of delivering end-to-end solutions that drive business outcomes. My expertise spans supervised and unsupervised machine learning, big data processing, data mining, statistical analysis, and geospatial analytics across customer, transaction, market research, sensor, operational, and third-party data sources. I excel at translating complex data into clear, compelling narratives that inform decision-making and foster a data-driven culture.

Currently Head of Data Science at IONX Networks, I lead a small team delivering analytical solutions to target and deploy 4G/5G small cell networks, and drive strategic adoption of Generative AI across Ops and Sales use cases. I design scalable, innovative solutions and governance frameworks to enable rapid experimentation and business impact while maintaining strong stakeholder collaboration and governance.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Head of Data Science at IONX Networks
November 1, 2021 - Present
Alphabet-backed start-up producing and deploying 4G and 5G mobile network small cells. Lead a team of 4 delivering analytical solutions to target and deploy networks. Strategic role in deployment of generative AI across two use cases: Ops Intelligent Assistant and Sales Lead Genie. Responsibilities include understanding business use cases, driving data requirements, creating domain-specific ontology, designing test activities, and driving business adoption. Automated small cell deployment planning reduced engineers' planning time by ~50% via ML models that optimize outdoor deployment locations, including probabilistic modelling to enhance crowdsourced data locations, regression and interpolation to create synthetic candidate street poles, and Monte Carlo modelling to select deployment locations. DAS detection enables targeted sales of in-building solutions with ~85% ML model accuracy using network and geospatial features. Vertical network performance analytics visualise 3D network perf
Lead Data Scientist at Three (Hutchison 3G UK)
January 1, 2007 - October 1, 2021
Led a team to provide analytical solutions reducing customer attrition and supporting marketing initiatives. Built a ML-powered customer upgrade recommendation system increasing monthly revenue per user by £1, combining segments, propensity models and commercial rules. Developed churn propensity models reducing annual attrition mitigation costs by £1M, with models regularly recalibrated and retrained. Created data consumption personas by clustering data usage patterns (K-means) to tailor marketing campaigns. Implemented attitudinal segment mapping using multinomial modeling for targeted communications. Defined and maintained a data science roadmap, delivering analytical products to support retention. Led upsell propensity models that tripled upsell rates during Samsung launches. Improved call center efficiency via NLP-driven sentiment analysis and journey mapping. Identified new business opportunities with product propositions team to size target segments such as students and gamers.
Senior Data Analyst at Carat Ltd
January 1, 2002 - January 1, 2006
Led and conducted data analysis projects at a large media buying and planning agency, delivering insights to optimise client campaigns and drive decision-making.
SCUBA Diving Instructor at Utila Dive Center
January 1, 2006 - January 1, 2007
Instructed and supervised scuba diving courses, managed safety protocols, and led dive operations to ensure high-quality experiences for clients and adherence to standards.

Education

MSc Data Science (Distinction) at University of Buckingham
January 11, 2030 - December 16, 2025
BA (Hons) Business Studies (2:1) at Brunel University
January 11, 2030 - December 16, 2025
MSc Data Science (Distinction) at University of Buckingham
January 11, 2030 - December 16, 2025
BA (Hons) Business Studies (2:1) at Brunel University
January 11, 2030 - December 16, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Telecommunications, Software & Internet, Professional Services, Media & Entertainment, Other