About the team

Our Data Science team harnesses the power of data to drive research and innovation across academia, industry, and the not-for-profit sector. Our goal is to support data-driven research right from initial proposal through to final publication, transforming complex data into clear, actionable insights along the way.

Our team excels in:

Data Analysis and Visualisation: We reveal patterns and insights using advanced statistical methods and cutting-edge visualisation tools.

Predictive Modelling: Our models forecast outcomes and assist with and inform decision-making.

Machine Learning and AI: We enhance model performance and automate data processing through the use of sophisticated algorithms.

Data Processing and Engineering: We design and maintain efficient data pipelines for large-scale datasets.

Custom Solutions: Tailored analytical tools and dashboards crafted to meet your specific needs.

Utilising methodologies such as supervised and unsupervised learning, natural language processing, and time-series analysis, we specialise in the Python machine learning ecosystem. Our commitment to staying at the forefront of the evolving data science landscape ensures high-quality and consistent results.

We collaborate with researchers in diverse fields, including healthcare, material sciences, engineering, and the arts and humanities – as well as within professional services. Our partnerships with external organisations, including local councils and healthcare trusts, further highlight our commitment to knowledge exchange within the community.