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Data science

Fostering a data science innovation culture

Data science is a complex, rapidly changing discipline and has an increasingly diverse range of applications. read how Nicky formalised the process of continuous learning and innovation by encouraging people to spend up to 20% of their time exploring new and innovative data science tools and techniques

Engineering the data of the future

Post-it notes on a window showing a data engineering pipeline from raw data ingestion to schema-on-read by users

Like most organisations today, the Ministry of Justice (MoJ) wants to use its data more effectively. The goal is to make sure that people making decisions have the insights they need at the right time to guide their decision making, whether that’s front-line prison staff or senior civil servants.

Connecting the dots: network science on GOV.UK

Image showing 3 post-its describing the 3 network types: (a) structural, (b) functional and (3) semantic. The respective ways of inducing a relationship between the pages in the networks are: (a) hyperlink exists from one page to go to the next, (b) user clicks to go from one page to the next and (c) the documents are semantically similar

GOV.UK can be represented as a multilayer network GOV.UK is a group of pages that comprises the best place to find government services and information. In its most abstract form, GOV.UK can be represented as a network made of pages, …

Boosting data science skills with the Data Science Accelerator

Bharath Vadhoola at the Government Digital Service offices holding a blue mug

HMRC's Bharath Vadhoola shares how the programme has helped him get a coveted job as a principal data scientist. Find out how you can get on the programme and boost your career prospects.

How we used deep learning to structure GOV.UK’s content

A laptop covered in stickers, including one that reads 'GOV.UK 6'

We're using supervised machine learning to organise all the content on GOV.UK, which means we can do things like create step by step journeys and consider voice activation. Here's what the data science team did.