NumPy
Leicestershire > Leicester
The table below provides summary statistics for permanent job vacancies advertised in Leicester requiring NumPy skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited NumPy over the 6 months leading up to 4 July 2025, comparing them to the same period in the previous two years.
| 6 months to 4 Jul 2025 |
Same period 2024 | Same period 2023 | |
|---|---|---|---|
| Rank | 30 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing NumPy | 1 | 0 | 0 |
| As % of all permanent jobs advertised in Leicester | 0.57% | - | - |
| As % of the Libraries, Frameworks & Software Standards category | 3.85% | - | - |
| Number of salaries quoted | 0 | 0 | 0 |
| Median annual salary (50th Percentile) | - | - | - |
| Leicestershire median annual salary | - | - | - |
All Software Libraries and Frameworks
Leicester
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 Leicester.
| Permanent vacancies with a requirement for technical specification, industry standards, software libraries and framework skills | 26 | 164 | 190 |
| As % of all permanent jobs advertised in Leicester | 14.94% | 25.55% | 27.78% |
| Number of salaries quoted | 19 | 92 | 63 |
| 10th Percentile | £38,000 | £36,250 | £35,250 |
| 25th Percentile | £44,625 | £41,250 | £38,000 |
| Median annual salary (50th Percentile) | £55,000 | £52,500 | £55,000 |
| Median % change year-on-year | +4.76% | -4.55% | +10.00% |
| 75th Percentile | £66,875 | £60,000 | £67,500 |
| 90th Percentile | £78,050 | £68,375 | £72,500 |
| Leicestershire median annual salary | £55,000 | £50,000 | £55,000 |
| % change year-on-year | +10.00% | -9.09% | +10.00% |
NumPy
Co-occurring Skills and Capabilities in Leicester 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: