Data Science
Cumbria > Carlisle
The table below provides summary statistics for permanent job vacancies advertised in Carlisle requiring Data Science skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Data Science over the 6 months leading up to 10 June 2024, comparing them to the same period in the previous two years.
| 6 months to 10 Jun 2024 |
Same period 2023 | Same period 2022 | |
|---|---|---|---|
| Rank | 16 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing Data Science | 5 | 0 | 0 |
| As % of all permanent jobs advertised in Carlisle | 4.76% | - | - |
| As % of the Processes & Methodologies category | 6.33% | - | - |
| Number of salaries quoted | 2 | 0 | 0 |
| 10th Percentile | - | - | - |
| 25th Percentile | £43,750 | - | - |
| Median annual salary (50th Percentile) | £47,500 | - | - |
| 75th Percentile | £51,250 | - | - |
| 90th Percentile | - | - | - |
| Cumbria median annual salary | £47,500 | - | - |
All Process and Methodology Skills
Carlisle
Data Science falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring process or methodology skills in Carlisle.
| Permanent vacancies with a requirement for process or methodology skills | 79 | 51 | 54 |
| As % of all permanent jobs advertised in Carlisle | 75.24% | 98.08% | 93.10% |
| Number of salaries quoted | 75 | 32 | 17 |
| 10th Percentile | £28,750 | £26,675 | - |
| 25th Percentile | £35,750 | £35,000 | £32,250 |
| Median annual salary (50th Percentile) | £45,000 | £48,900 | £37,500 |
| Median % change year-on-year | -7.98% | +30.40% | +25.00% |
| 75th Percentile | £60,000 | £60,800 | £48,000 |
| 90th Percentile | £70,000 | £70,600 | £56,750 |
| Cumbria median annual salary | £41,500 | £45,000 | £35,000 |
| % change year-on-year | -7.78% | +28.57% | -1.00% |
Data Science
Co-occurring Skills and Capabilities in Carlisle 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: