595 - Associate Data Scientist: Data Science & AI Hub
Ministry of Justice, Scotland-wide
595 - Associate Data Scientist: Data Science & AI Hub
Salary not available. View on company website.
Ministry of Justice, Scotland-wide
- Full time
- Permanent
- Remote working
Posted today, 21 Nov | Get your application in now to be one of the first to apply.
Closing date: Closing date not specified
job Ref: db88e030e44c4431a783648eb71b64dd
Full Job Description
We're recruiting for an Associate Data Scientist: Data Science & AI Hub here at the [2] Ministry of Justice, to be part of our warm and collaborative Data Directorate.
This role aligns against [3] Associate Data Scientist from the Government Digital and Data Framework
We are a multi-disciplinary team of around 80 staff that sits at the heart of the Ministry of Justice providing data science support across a diverse and exciting agenda. We work in a dynamic and fast-paced context and our skills are in heavy demand across the Ministry of Justice. We have a track record of delivering digital services to front line staff using wide ranging data science techniques, including the award-winning safety diagnostic tool, which helps our staff tackle violence in prisons and the public-facing[4] Criminal justice system (CJS) delivery data dashboard. We regularly deliver insights that directly influence corporate, operational and policy decisions. Our projects span the data science spectrum including machine learning, natural language processing, large language models and optimisation.
You will work as part of multi-disciplinary teams to deliver data science products and analysis. Below are further details of the HEO data scientist roles currently available in the division:
Criminal Justice System Data Science: Cross-CJS data
The cross-CJS data asset is an initiative led by the Criminal Justice System (CJS) Data Improvement programme and aims to bring together datasets from the Ministry of Justice, Crown Prosecution Service (CPS) and the Police for the first time. The postholder will be involved in the innovative exploratory analysis of the cross-CJS data and the subsequent development of new data science projects. Past and current projects include developing machine learning models to predict time taken for Crown Court cases to get through the system and, separately, classification models to predict victim attrition. We also recently developed a Streamlit-based MVP dashboard to disseminate analysis and metrics on victim attrition.
Criminal Justice System Data Science: Prison Capacity modelling
This team is responsible for producing a high-priority series of short-term prison demand models to inform capacity. The postholder will be responsible for investigating potential predictive data sources and using data science techniques to produce forecasting models. They will monitor and upgrade existing modelling to improve approaches and reduce uncertainty. The postholder will need to be comfortable working at a fast pace, using a variety of data sources and engaging with a range of stakeholders.