Data Science
Cumbria > Carlisle
The following table provides summary statistics for permanent job vacancies advertised in Carlisle with a requirement for Data Science skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Data Science over the 6 months to 5 May 2024 with a comparison to the same period in the previous 2 years.
| 6 months to 5 May 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 | 5.56% | - | - |
| As % of the Processes & Methodologies category | 6.67% | - | - |
| 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 is in the Processes and Methodologies category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Carlisle with a requirement for process or methodology skills.
| Permanent vacancies with a requirement for process or methodology skills | 75 | 48 | 24 |
| As % of all permanent jobs advertised in Carlisle | 83.33% | 97.96% | 85.71% |
| Number of salaries quoted | 71 | 34 | 8 |
| 10th Percentile | £26,250 | £27,525 | £30,862 |
| 25th Percentile | £37,125 | £35,563 | £39,000 |
| Median annual salary (50th Percentile) | £45,000 | £54,000 | £47,000 |
| Median % change year-on-year | -16.67% | +14.89% | +56.67% |
| 75th Percentile | £63,125 | £57,500 | £52,813 |
| 90th Percentile | £70,000 | £70,600 | £72,125 |
| Cumbria median annual salary | £42,500 | £45,000 | £35,000 |
| % change year-on-year | -5.56% | +28.57% | -13.58% |
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: