CF’s Data Innovation (DI) team was formed three years ago with only two members, and has since grown to a thriving team of data scientists, data engineers, software engineers, data analysts, a UI/UX designer and a product manager. They have worked on a wide variety of projects including building the Vaccines Equalities Tool, supporting NHS London during the covid pandemic, building the flagship performance dashboard for elective recovery and the Hedwig data platform.  What’s more, the team have won several awards for their work including the HSJ award for best healthcare analytics twice.

As part of our regular lunch and learn series, the DI team recently presented a session on helping our consultants understand how we build beautiful and functional applications and all our technical team’s roles.

We focussed on data science, particularly what data science is, how it works, and what are the usual stages of a data science project. We began by defining the question we wished to answer based on a business need, and then took everyone through the stages of exploring and analysing the data, building and tuning the model and evaluating your results and refining the process.

We then discussed the roles of each of our team members and took the attendees through a short quiz on common tasks carried out by the team. It was a great opportunity to share knowledge between the consulting and data innovation teams.

The vaccine equalities tool

Covid pandemic scenario planning software for London