Untangling the network of rogue landlords

Data Policy / Data Science / Data Strategy / Data Scientist / Careers / ASI / Fellow / Machine Learning / Artificial Intelligence / Particle Physics / Lambeth Council / Rogue Landlords / Automation / Greater London Authority / Local councils

I’m making the move from particle physics to data science because I want my skills to have a more direct, positive impact on people. My project with ASI Data Science and Lambeth Council gave me that chance. Rogue landlords in the UK illegally make £4.2 billion pounds per…

Adjusting your set: Predicting rare TV-watching behaviour with machine learning

Data Science / Data Strategy / Data science projects / Machine Learning / Artificial Intelligence / Fellowship / Fellow / ASI / Fellows Network / Data in Society / Careers / Sky / TV

It's been over half a century since a record audience of 32.3 million people watched England's triumph over West Germany in the 1966 World Cup final, and Britain remains a nation of avid TV watchers. According to Ofcom’s most recent statistics, 95% of households contain a working television…

Find out more about the ASI Fellowship

ASI / Fellowship / Data Science / Data in Society / Data Engineering / Fellow / Fellows Network / Careers / Machine Learning / Data Science Community / PhD / Post-doc / Future Technologies

Data Science has burst on the scene as a new employment area where demand for candidates outstrips supply. It is also a field that values PhD candidates – particularly from quantitative subjects. If you're wondering whether the academic path is right for you, but cannot imagine wasting the technical skills you've…

Q&A with ASI Alumna Fellow Lorna - From Mathematics to Data Science

Data Science / ASI / Fellowship / Fellows Network / Careers / London / Meetup / Programming Languages / Data science projects / Machine Learning / alumni / Data Science Community / Mathematics / PhD / Post-doc / Fellow / Opportunities / Tails

Lorna Brightmore, a recent Fellow on the latest ASI Data Science Fellowship in May 2016 reflects on her experience on the ASI Fellowship project with pet food business Tails. Lorna has since been continuing working in a full-time role with Tails as a Data Scientist complete with dogs in the…

From Academia to Data Science

Data Science / Data Strategy / Careers

Being a great data scientist is mostly about the way in which you approach problems. Data scientists apply the scientific method in the commercial environment, which is why scientists can often successfully transition into the field. This sounds simple enough in theory, yet many scientists with superb academic backgrounds find…

Charlotte's Experience on the ASI Data Science Fellowship

Fellowship / Finance / Getting Started / Data Science / Machine Learning / ASI / alumni / Careers / London / Meetup / Economics / ManAHL / Data Science Lab / Data Science Community / Fellows Network

Charlotte Werger, a recent Fellow on the latest ASI Data Science Fellowship in May 2016 reflects on her journey, transitioning into a new Data Science career by taking part in the Fellowship. Tell us about your background, before you decided to move into Data Science? My background is perhaps a…

Q&A with ASI Alumnus Fellow Khurom - From Astrophysics to Data Science

Fellowship / Getting Started / Data Science / Programming Languages / Machine Learning / ASI / alumni / Careers

Meet Khurom Kiyani, one of our Fellows from our January 2016 ASI Fellowship, as he reflects on his experiences on taking part in the ASI programme. His ASI Fellowship project was partnered with JustEat, where he is now a Data Scientist in their team. Congratulations Khurom! Tell us about your…

Meet ASI Fellow, Sam Smith

Fellowship / Getting Started / Data Science / Programming Languages / ASI / alumni / Careers

From theoretical condensed matter Physics, to working with deep neural networks on his ASI Fellowship project with babylon health, Meet Sam, one of our Fellows from our January 2016 Fellowship, as he reflects on his experiences on taking part in the ASI programme. Tell us about your background, before you…