In 2021, our highly successful Data Science Graduate Programme has been expanded across the UK pubic sector. We have offered 50 places on the programme, located in 10 public sector organisations. 25 places were offered to new graduates, selected from 511 applications. An additional 25 places have also been offered to 25 analysts already in posts, who want to significantly increase their data science skills.
This report summarises our work to meet widespread demand for better automated and higher quality solutions to this problem, by using machine learning (ML) methods to improve the match rate and accuracy of automatic classification of SIC and SOC classifications.
We currently have a several exciting roles available including:
6 Data Scientist roles, 1 Lecturer (Data Science) role, 2 Trainee Lecturer (Data Science) role and 1 Data Science Community Programme Manager role
Keep an eye on this page and on our Twitter feed for the latest opportunities to join us.
This summer, data science apprentices in our faculty worked with young people from disadvantaged socio-economic backgrounds, introducing them to data science and supporting them to start developing skills in the field.
We are proposing a hybrid digital and face-to-face Government Data Science Festival in 2022. If you’re part of the UK public sector data science community, we need your input.
Public sector employees can take one-off modules from the MSc in Data Analytics for Government (MDataGov) as CPD. Our 4 partner Universities offer a variety of CPD modules from the MDataGov.
In this guest blog, Robyn Hunt from the ONS travel and tourism review team looks at using mobility data to model estimates from the International Passenger Survey.
Read more on Using Mobile Phone Data for Enhancing International Passenger Survey Traveller StatisticsWe worked with Statistics Canada to help build data science skills in the Caribbean community, delivering virtual Reproducible Analytical Pipelines training to 12 nations over 5 time zones.
Read more on Taking Reproducible Analytical Pipelines on a virtual tour: first stop the CaribbeanMany countries in the developing world lack regular estimates of road traffic activity. To address this, we applied machine learning techniques to open-source satellite data to generate estimates of traffic volume in Kenya, East Africa.
Read more on Detecting Trucks in East Africa