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595 - Associate Data Scientist: Data Science & AI Hub
| Dyddiad hysbysebu: | 20 Tachwedd 2024 |
|---|---|
| Cyflog: | £34,140 i £42,019 bob blwyddyn |
| Gwybodaeth ychwanegol am y cyflog: | The national salary range is £34,140 - £37,105. London salary range is £38,661- £42,019. Your salary will be dependent on your base location |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 05 Rhagfyr 2024 |
| Lleoliad: | UK |
| Gweithio o bell: | Ar y safle yn unig |
| Cwmni: | Ministry of Justice |
| Math o swydd: | Parhaol |
| Cyfeirnod swydd: | 595 |
Crynodeb
Associate Data Scientist: Data Science & AI Hub
Location: National*
Closing Date: 05 December 2024
Interviews: From 07 January 2024
Grade: HEO
(MoJ candidates who are on a specialist grade, will be able to retain this grade on lateral transfer)
Salary: London: £38,661 - £42,019; National: £34,140 - £37,105 which may include an allowance up to £1827
Working pattern: Full-time, part-time, job share, flexible working
Contract Type: Permanent
*We offer a hybrid working model, allowing for a balance between remote work and time spent in your local office. Office locations can be found [1] ON THIS MAP
The Role
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.
In both posts, you will be encouraged to develop your data science skills and experience through both formal and informal training. The majority of projects will be conducted using Python, R and SQL on our AWS cloud infrastructure (known as the[5] Analytical Platform) to work with data from across the justice system.
Location: National*
Closing Date: 05 December 2024
Interviews: From 07 January 2024
Grade: HEO
(MoJ candidates who are on a specialist grade, will be able to retain this grade on lateral transfer)
Salary: London: £38,661 - £42,019; National: £34,140 - £37,105 which may include an allowance up to £1827
Working pattern: Full-time, part-time, job share, flexible working
Contract Type: Permanent
*We offer a hybrid working model, allowing for a balance between remote work and time spent in your local office. Office locations can be found [1] ON THIS MAP
The Role
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.
In both posts, you will be encouraged to develop your data science skills and experience through both formal and informal training. The majority of projects will be conducted using Python, R and SQL on our AWS cloud infrastructure (known as the[5] Analytical Platform) to work with data from across the justice system.