NumPy
Essex > Saffron Walden
The table below provides summary statistics and salary benchmarking for jobs advertised in Saffron Walden requiring NumPy skills. It covers permanent job vacancies from the 6 months leading up to 11 January 2026, with comparisons to the same periods in the previous two years.
| 6 months to 11 Jan 2026 |
Same period 2025 | Same period 2024 | |
|---|---|---|---|
| Rank | 11 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing NumPy | 1 | 0 | 0 |
| As % of all permanent jobs in Saffron Walden | 2.27% | - | - |
| As % of the Libraries, Frameworks & Software Standards category | 50.00% | - | - |
| Number of salaries quoted | 1 | 0 | 0 |
| 10th Percentile | - | - | - |
| 25th Percentile | £70,000 | - | - |
| Median annual salary (50th Percentile) | £80,000 | - | - |
| 75th Percentile | £90,000 | - | - |
| 90th Percentile | - | - | - |
| Essex median annual salary | £80,000 | - | - |
All Software Libraries and Frameworks
Saffron Walden
NumPy falls under the Software Libraries and Frameworks category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring technical specification, industry standards, software libraries and framework skills in Saffron Walden.
| Permanent vacancies with a requirement for technical specification, industry standards, software libraries and framework skills | 2 | 0 | 2 |
| As % of all permanent jobs advertised in Saffron Walden | 4.55% | - | 25.00% |
| Number of salaries quoted | 2 | 0 | 0 |
| 10th Percentile | £46,375 | - | - |
| 25th Percentile | £50,313 | - | - |
| Median annual salary (50th Percentile) | £63,750 | - | - |
| 75th Percentile | £80,313 | - | - |
| 90th Percentile | £86,125 | - | - |
| Essex median annual salary | £50,000 | £57,500 | £65,000 |
| % change year-on-year | -13.04% | -11.54% | +18.18% |
NumPy
Co-Occurring Skills & Capabilities in Saffron Walden by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category: