>£35m
Business Value Generated
9
Years Experience
4.5k
Online Connections
Hello
— I'm Marc Matterson, Lead Data Scientist
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Since completing my postgraduate studies in 2017, I have established a career in Data Science and Advanced Analytics, with experience spanning both high-growth startups and large enterprise organisations across the logistics, eCommerce, and telecommunications sectors.
I bring a strong blend of technical depth and commercial focus, with a particular emphasis on building and leading high-performing data science teams that deliver measurable business outcomes. As an advanced Python developer, I specialise in designing, deploying, and scaling machine learning and artificial intelligence solutions, underpinned by robust experimentation frameworks and rigorous value measurement in production environments.
I currently lead a team of Data Scientists at Virgin Media O2, where we partner closely with the business to drive data-led decision-making, run large-scale commercial experimentation, and deliver high-impact solutions that improve network performance and elevate the customer experience.
Experience working/studying at:
Lead Data Scientist
Virgin Media O2Manchester, UK
Jan 2024 – Present
- •Leading a team of four data scientists, specialising in network performance and faults.
- •Owner of VMO2's faults platform, responsible for diagnosing customer issues and providing solutions via next best actions.
- •Responsible for planning, prioritising, and delivering high-impact data science solutions, driving measurable business outcomes.
- •Identified fault platform areas for improvement, implemented experimentation, returned >£2m of business value within the first six months.
- •Instrumental in developing relationships with key stakeholders, building advocacy for the Network Data Science team, and influencing the data strategy across the wider organisation.
- •Designed and developed various frameworks to improve team efficiency, such as experimentation, value, and model monitoring frameworks.
- •Owner and key contributor to VMO2's Network Feature Store, enabling rapid model development and deployment.
- •Strong advocate for experimentation, enabling data-driven decision-making where possible.
Lead Data Scientist
Virgin Media O2Manchester, UK
Jan 2024 – Present
- •Leading a team of four data scientists, specialising in network performance and faults.
- •Owner of VMO2's faults platform, responsible for diagnosing customer issues and providing solutions via next best actions.
- •Responsible for planning, prioritising, and delivering high-impact data science solutions, driving measurable business outcomes.
- •Identified fault platform areas for improvement, implemented experimentation, returned >£2m of business value within the first six months.
- •Instrumental in developing relationships with key stakeholders, building advocacy for the Network Data Science team, and influencing the data strategy across the wider organisation.
- •Designed and developed various frameworks to improve team efficiency, such as experimentation, value, and model monitoring frameworks.
- •Owner and key contributor to VMO2's Network Feature Store, enabling rapid model development and deployment.
- •Strong advocate for experimentation, enabling data-driven decision-making where possible.
Senior Data Scientist
Virgin Media O2Manchester, UK
Jul 2023 – Jan 2024
- •Developed a tree-based machine learning model (XGBoost) to predict broadband service quality, delivering >£20m of business value.
- •Developed AI agents (LangChain) to assist human call centre agents, implementing Retrieval-Augmented Generation (RAG) and LLM evaluation frameworks.
- •Utilised sentence transformers (SetFit), creating a multi‑label customer intent model detailing customer reason for contact.
- •Mentored five data science interns, providing technical guidance and career development support. 100% of mentees successfully landed full-time data scientist roles after completing their internships.
- •Responsible for defining and maintaining team best practices, including git, code reviews, testing, and documentation.
Senior Data Scientist
Virgin Media O2Manchester, UK
Jul 2023 – Jan 2024
- •Developed a tree-based machine learning model (XGBoost) to predict broadband service quality, delivering >£20m of business value.
- •Developed AI agents (LangChain) to assist human call centre agents, implementing Retrieval-Augmented Generation (RAG) and LLM evaluation frameworks.
- •Utilised sentence transformers (SetFit), creating a multi‑label customer intent model detailing customer reason for contact.
- •Mentored five data science interns, providing technical guidance and career development support. 100% of mentees successfully landed full-time data scientist roles after completing their internships.
- •Responsible for defining and maintaining team best practices, including git, code reviews, testing, and documentation.
Data Scientist
Virgin Media O2Manchester, UK
May 2020 – Jul 2023
- •Developed a recommendation model to predict which customers would benefit most from new/upgraded hardware, driving >£1.5m of business value.
- •Implemented machine learning to advance VMO2's digital transformation, focusing on optimising navigation, reducing customer effort, and enhancing self-service capabilities.
- •Owned my teams migration to Google Cloud Platform, showcasing expertise in data engineering and modelling.
- •Orchestrated data transformations using dbt, managed CI/CD pipelines via GitLab, and deployed ML models using Vertex AI.
- •Communicated complex data science concepts to non-technical audiences, delivering presentations to senior leadership and the wider data team.
Data Scientist
Virgin Media O2Manchester, UK
May 2020 – Jul 2023
- •Developed a recommendation model to predict which customers would benefit most from new/upgraded hardware, driving >£1.5m of business value.
- •Implemented machine learning to advance VMO2's digital transformation, focusing on optimising navigation, reducing customer effort, and enhancing self-service capabilities.
- •Owned my teams migration to Google Cloud Platform, showcasing expertise in data engineering and modelling.
- •Orchestrated data transformations using dbt, managed CI/CD pipelines via GitLab, and deployed ML models using Vertex AI.
- •Communicated complex data science concepts to non-technical audiences, delivering presentations to senior leadership and the wider data team.
Data Scientist
AO WorldManchester, UK
Jul 2019 – Mar 2020
- •Increased online conversion rate by >50% by implementing a tree-based machine learning model, enabling real-time incentive offerings to customers.
- •Onsite Customer Intervention project awarded the Best Use of AI Award, received at the eCommerce Awards 2020.
- •Implemented machine learning experimentation monitoring via MongoDB Atlas, allowing for A/B testing and responsible AI evaluation at scale.
- •Developed a feature store capturing data from our onsite visitors, allowing more efficient model creation and deployment.
Data Scientist
AO WorldManchester, UK
Jul 2019 – Mar 2020
- •Increased online conversion rate by >50% by implementing a tree-based machine learning model, enabling real-time incentive offerings to customers.
- •Onsite Customer Intervention project awarded the Best Use of AI Award, received at the eCommerce Awards 2020.
- •Implemented machine learning experimentation monitoring via MongoDB Atlas, allowing for A/B testing and responsible AI evaluation at scale.
- •Developed a feature store capturing data from our onsite visitors, allowing more efficient model creation and deployment.
Data Scientist
Dee SetManchester, UK
Apr 2018 – Jul 2019
- •Developed a ResNet-50 deep learning model enabling retail planograms to be overlayed in real-time, increasing field merchandiser productivity by >100%.
- •Implemented automation solutions across various business units, reducing operational costs and eliminating manual processes, saving the company an estimated 120+ hours per month.
- •Developed a natural language processing model for internal recruitment, automating candidate evaluation, improving efficiency, reducing human effort by 60%, resulting in faster job placements.
Data Scientist
Dee SetManchester, UK
Apr 2018 – Jul 2019
- •Developed a ResNet-50 deep learning model enabling retail planograms to be overlayed in real-time, increasing field merchandiser productivity by >100%.
- •Implemented automation solutions across various business units, reducing operational costs and eliminating manual processes, saving the company an estimated 120+ hours per month.
- •Developed a natural language processing model for internal recruitment, automating candidate evaluation, improving efficiency, reducing human effort by 60%, resulting in faster job placements.
MSc, Data Science and Analytics
Manchester Metropolitan UniversitySept 2016 – Jun 2017
Manchester, UK
- •Awarded an MSc with distinction (89%) degree.
- •Dissertation on 'Leveraging Big Data and Analytical Methods to Understand the Drivers for Obesity'.
Research Assistant
University of SalfordJun 2014 – Sept 2016
Manchester, UK
- •Focussed on glacial hydrology and climate change in the European Alps.
- •Research undertaken at Gornergletscher and Findelengletscher, Switzerland for the Alpine Glacier Project.
- •Research undertaken at Glacier du Tour, Glacier d’Argentiere, Mer de Glace, Glacier des Bossons and Glacier du Taconnaz in Chamonix, France.
BSc, Geography (Glaciology & Climate Change)
University of SalfordSept 2011 – Jun 2014
Manchester, UK
- •Awarded a First Class Honours degree.
- •Dissertation on 'Year‑to‑year Variations of Total Solute Flux in the Gornera (Switzerland)'.
- •Winner of the Kerry Worthington Award for best dissertation and nominated for the British Hydrological Award.
Project
Genetic Algorithm Feature Selection
Evolutionary algorithm optimizing ML feature selection, improving model accuracy while reducing dimensionality.
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