Data Scientist with experience in Geosciences, Natural Language Processing and Image Recognition. PhD graduate with a background in Risk and Hazard Assessment and Modelling.
Work Experience
Lead Data Scientist, Continuum Media, June 2025 – Present
Developing data science models to predict business impact of proposed purchases in the television advertising market
Working with colleagues to implement best data practices across the organisation
Developing MLOps and DevOps practices to robustly deploy data science models using AWS SageMaker
Using DVC to log experiments and data during model development
Lead Data Scientist on Machine Learning Operations, Ministry of Justice, February 2024 – June 2025
Technical and strategic lead for AI and Machine Learning Operations (MLOps). Leading the AI and MLOps strategy across data science, data engineering and digital teams.
Creating and operationalising MLOps tools such as MLFlow. Establishing working groups and training material to help upskill users on MLFlow.
Steering my Deputy Director on spending review proposals to establish a live services and MLOps team to deliver improvements to how MoJ develop and deploy products.
Developing, deploying and monitoring two data science products using courts, prison and risk data to improve operational services.
Leading on best practice standards for deploying and monitoring AI and Machine Learning models for operational use and supporting implementation of standards across multiple project teams.
Part of the Senior Management Team where my contributions helped shape and develop strategic decisions.
Line manager, mentor and development coach for data scientists, and data engineers.
Lead Data Engineer, Ministry of Justice, February 2023 – February 2024
Managing a data engineering team for the multi-million pound cross government Better Outcomes through Linked Data (BOLD) programme.
Coaching my team to use a number of technologies including Python, AWS S3, AWS Glue, AWS Athena, Airflow, Pulumi, CI/CD and GitHub Actions.
Technical team lead on the organisation’s response to Reinforced Autoclaved Aerated Concrete (RAAC), helping the organisation undertake and report on hundreds of inspections.
Established and managed cross-domain profession-wide squads, consisting of over twenty data engineers to share best practice and set strategy.
Co-founder and organiser of a cross-government data ethics and AI sub-community.
Senior Data Scientist, ONS Data Science Campus, October 2019 – February 2023
Working on various COVID-19 data sets to give insight to a Government organisation.
Working with Government organisations to extract mobility data for COVID-19 response.
Creating D3 visualisations for use in cross-government dashboards.
Creation of a slack-bot system to create home-working tea-breaks between colleagues.
Co-organiser of a cross-government data ethics and society working group.
Writing technical blog posts for data science projects.
One of the organisations geospatial experts, and lead a project to build and analyse public transport in the UK using R. This project also uses cloud computing infrastructure.
Working with devolved Government on a pipeline to automatically locate historical aerial images.
I help build capability in data science within government branches by mentoring students on various projects. These have included using Neural Networks and Decision Trees. For these short-lived projects, we typically use Jupyter Notebooks to share code and display outputs.
I setup and hold meetings with stakeholders to create new projects and collaborations between government branches.
Head of Data and Automation, Office for Statistics Regulation, March 2021 – March 2022 (lateral secondment)
I transformed and restructured the organisation’s Data and Methods function, growing the team and dramatically increased the number of project outputs.
Authored and published high-impact government guidance for use of statistical and data science models to improve public confidence and increase public acceptability.
Led a team, and authored, a publication that reviewed the 2020 UK school exam algorithm.
Member of UK government regulation group discussions on AI regulation.
I developed the data science capability within the organisation.
Senior Data Scientist, Office for National Statistics, October 2019 – March 2021
Lead a project to build and analyse public transport in the UK using R and cloud computing infrastructure.
Worked on a project using aerial imagery and cloud infrastructure to classify green spaces within garden areas to improve natural capital estimates.
I worked on various COVID-19 data sets with BigQuery to give insight to the government.
I worked with government organisations to extract mobility data for COVID-19 response.
Data Scientist, Office for National Statistics, May 2018 – October 2019
I worked in a team on a Natural Language Processing (NLP) project that extracted key terminology from free text and forecasts emerging terms using Python. This project used Neural Networks and Decision Trees.
PhD Student, October 2014 – April 2018
I researched earthquakes and fault systems in East Africa; how they develop and what the potential consequence of the earthquakes may be. This included a multi-disciplinary team of engineers, geologists, and local governments.
I was the departments advisor and support for Unmanned Aerial Vehicle research.
My work included the use of ‘Big Data’ datasets, including satellite imagery, UAV imagery and numerical modelling.
During this time, I gained expert knowledge of using Matlab, Python, R, VBA, ArcGIS and QGIS.
Project Support Officer, November 2012 – October 2014
I was a project lead for an agri-environmental scheme. I supervised the workload of project employees and investigated any issues they experienced and, in collaboration, provided relevant and appropriate solutions.
I maintained a superb standard of work to comply with statutory (devolved Government and European Union) directives.
In order to do this, I established good working relationships with project clients and farmer unions.
I produced technical customer reports, maps using ArcGIS, undertook project procurement, organised meetings and led training for new recruitments.
In addition, I developed a new centralised database to store current and future project data.
Previous positions
Risk Assessor, August 2012 – November 2012
Various University Researcher Roles, June 2012 – August 2012
Customer Service Manager, March 2008 – June 2008
Graphic designer, Summer holidays as a child
Volunteering
STEM Ambassador
I help organise and deliver a variety of Science, Technology, Engineering and Maths (STEM) activities, including practical, fun events. I present workshops in an enthusiastic manner in order to encourage children to consider a career in a STEM related pathway.
Educational & Professional Achievements
2020
Scrum Master (Certified)
Managing People course
Academic Paper (2020), Geology (in review)
2019
Academic Paper (2019), EGU: Solid Earth; 1 x Conference Abstract
2018
PhD Graduate (no corrections)
Academic Paper (2018), GRL.
2017
Academic Paper (2017), JGR: Solid Earth; 2 x Conference Abstracts
201
Academic Paper (2016), Frontiers; 3 x Conference Abstracts
2015
Academic Paper (2015), Natural Hazards
2012
MSci Environmental Geoscience (1st class honours)
City & Guilds Professional Development Award: Project Management