Jupyter (JupyterHub, JupyterLab)
Hertfordshire > Watford
The table below provides summary statistics for permanent job vacancies advertised in Watford 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 16 May 2025, comparing them to the same period in the previous two years.
| 6 months to 16 May 2025 |
Same period 2024 | Same period 2023 | |
|---|---|---|---|
| Rank | 34 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing Jupyter | 1 | 0 | 0 |
| As % of all permanent jobs advertised in Watford | 0.68% | - | - |
| As % of the Application Platforms category | 4.35% | - | - |
| Number of salaries quoted | 1 | 0 | 0 |
| 10th Percentile | - | - | - |
| 25th Percentile | £62,500 | - | - |
| Median annual salary (50th Percentile) | £65,000 | - | - |
| 75th Percentile | £67,500 | - | - |
| 90th Percentile | - | - | - |
| Hertfordshire median annual salary | £65,000 | - | - |
All Application Platform Skills
Watford
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 Watford.
| Permanent vacancies with a requirement for application platform skills | 23 | 53 | 79 |
| As % of all permanent jobs advertised in Watford | 15.54% | 19.00% | 20.15% |
| Number of salaries quoted | 23 | 35 | 75 |
| 10th Percentile | £37,300 | £23,000 | £34,000 |
| 25th Percentile | £43,000 | £25,438 | £56,250 |
| Median annual salary (50th Percentile) | £45,000 | £34,000 | £57,500 |
| Median % change year-on-year | +32.35% | -40.87% | +27.78% |
| 75th Percentile | £63,750 | £58,750 | £63,750 |
| 90th Percentile | £83,750 | £71,750 | £72,000 |
| Hertfordshire median annual salary | £47,500 | £37,500 | £57,500 |
| % change year-on-year | +26.67% | -34.78% | +43.75% |
Jupyter
Co-occurring Skills and Capabilities in Watford 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: