Jupyter (JupyterHub, JupyterLab)
Gloucestershire > Gloucester
The table below provides summary statistics for permanent job vacancies advertised in Gloucester requiring Jupyter skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Jupyter over the 6 months leading up to 2 May 2025, comparing them to the same period in the previous two years.
| 6 months to 2 May 2025 |
Same period 2024 | Same period 2023 | |
|---|---|---|---|
| Rank | 23 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing Jupyter | 2 | 0 | 0 |
| As % of all permanent jobs advertised in Gloucester | 2.41% | - | - |
| As % of the Application Platforms category | 12.50% | - | - |
| Number of salaries quoted | 0 | 0 | 0 |
| Median annual salary (50th Percentile) | - | - | - |
| Gloucestershire median annual salary | - | - | - |
All Application Platform Skills
Gloucester
Jupyter falls under the Application Platforms category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring application platform skills in Gloucester.
| Permanent vacancies with a requirement for application platform skills | 16 | 53 | 54 |
| As % of all permanent jobs advertised in Gloucester | 19.28% | 9.76% | 9.34% |
| Number of salaries quoted | 13 | 38 | 11 |
| 10th Percentile | £50,000 | - | - |
| 25th Percentile | £52,500 | £36,250 | £27,500 |
| Median annual salary (50th Percentile) | £65,000 | £47,500 | £35,000 |
| Median % change year-on-year | +36.84% | +35.71% | -27.46% |
| 75th Percentile | £69,500 | £57,500 | £48,125 |
| 90th Percentile | £70,000 | - | £64,500 |
| Gloucestershire median annual salary | £57,500 | £47,500 | £47,500 |
| % change year-on-year | +21.05% | - | -13.64% |
Jupyter
Job Vacancy Trend in Gloucester
Job postings citing Jupyter as a proportion of all IT jobs advertised in Gloucester.
Jupyter
Co-occurring Skills and Capabilities in Gloucester by Category
The follow tables expand on the table above by listing co-occurrences grouped by category. The same employment type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories: