6301 - Higher Data Scientist
| Dyddiad hysbysebu: | 04 Tachwedd 2025 |
|---|---|
| Cyflog: | £30,850 bob blwyddyn |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 16 Tachwedd 2025 |
| Lleoliad: | UK |
| Gweithio o bell: | Hybrid - gweithio o bell hyd at 4 ddiwrnod yr wythnos |
| Cwmni: | Natural England |
| Math o swydd: | Parhaol |
| Cyfeirnod swydd: | 6301 |
Crynodeb
Data Science Services (DSS) is part of the Analysis Directorate. We are a large, national team and have broad skills including data science, analysis and statistics. We are passionate about quality technical delivery and continuous improvement, using novel data science approaches to help everyone understand nature recovery. We are looking for a Higher Data Scientist who can lead data analyses and implement improvements across a range of projects, playing a key role in applying advanced analytical and machine learning techniques to complex problems. In addition, the post holder will be contributing to the development and improvement of data science across the team.
This is an exciting opportunity for someone with a passion for delivering quality data science outputs and seeking new personal development challenges.
Job description
Key Tasks/Principal Accountabilities
Lead the end-to-end delivery of analytical, modelling and data science improvement projects.
Coordinate / undertake project planning and reporting so that projects are delivered efficiently, and progress, risks and issues are monitored
Ensure project data standards, processes and systems are followed to ensure outputs are high-quality and robust (including through good documentation and automation) so that customer decisions and advice can be based on sound evidence and outputs can be reproduced.
Engage with customers and partners to scope work and communicate progress.
Build capability in others in the team (and sometimes across NE as appropriate) to enable effective delivery and support resilience to absence and change.
Engage with customers and partners to identify and exploit opportunities for new or revised projects (inc. use of new technologies), or for developing projects to improve the evidence base, improve efficiency, build capability or generate funding.
How to Apply
We welcome and encourage applications from all communities. Natural England is accredited to the Disability Confident Scheme, which denotes organisations which have a positive attitude towards disabled people. Disabled applicants who meet the minimum requirements for the role at the shortlisting stage are guaranteed an invitation to interview.
If you require a reasonable adjustment at interview, or there is anything else you would like the panel to take into consideration, you should notify us of this at application stage where possible, or well in advance of your interview.
This vacancy uses competency-based assessment. We'll assess you against the competencies below during the selection process:
Technical Skills and Knowledge
Personal effectiveness
Creating resilient landscapes and seas
Work delivery
When completing the application form you should present relevant examples using the STAR format. Give us an example of how you have demonstrated the competency (which can be work related or from another area of your life) and tell us about the Situation, the specific Task you had to undertake, the specific Actions you took, and the Result (both immediate and in a wider context) of your doing so.
Please note that STAR format is not required when answering the Technical Skills & Knowledge competency. Examples should be given in no more than 250 words for each competency.
This is an exciting opportunity for someone with a passion for delivering quality data science outputs and seeking new personal development challenges.
Job description
Key Tasks/Principal Accountabilities
Lead the end-to-end delivery of analytical, modelling and data science improvement projects.
Coordinate / undertake project planning and reporting so that projects are delivered efficiently, and progress, risks and issues are monitored
Ensure project data standards, processes and systems are followed to ensure outputs are high-quality and robust (including through good documentation and automation) so that customer decisions and advice can be based on sound evidence and outputs can be reproduced.
Engage with customers and partners to scope work and communicate progress.
Build capability in others in the team (and sometimes across NE as appropriate) to enable effective delivery and support resilience to absence and change.
Engage with customers and partners to identify and exploit opportunities for new or revised projects (inc. use of new technologies), or for developing projects to improve the evidence base, improve efficiency, build capability or generate funding.
How to Apply
We welcome and encourage applications from all communities. Natural England is accredited to the Disability Confident Scheme, which denotes organisations which have a positive attitude towards disabled people. Disabled applicants who meet the minimum requirements for the role at the shortlisting stage are guaranteed an invitation to interview.
If you require a reasonable adjustment at interview, or there is anything else you would like the panel to take into consideration, you should notify us of this at application stage where possible, or well in advance of your interview.
This vacancy uses competency-based assessment. We'll assess you against the competencies below during the selection process:
Technical Skills and Knowledge
Personal effectiveness
Creating resilient landscapes and seas
Work delivery
When completing the application form you should present relevant examples using the STAR format. Give us an example of how you have demonstrated the competency (which can be work related or from another area of your life) and tell us about the Situation, the specific Task you had to undertake, the specific Actions you took, and the Result (both immediate and in a wider context) of your doing so.
Please note that STAR format is not required when answering the Technical Skills & Knowledge competency. Examples should be given in no more than 250 words for each competency.