Computer Science
Ealing > Southall
The table below provides summary statistics and salary benchmarking for jobs advertised in Southall requiring Computer Science skills. It covers permanent job vacancies from the 6 months leading up to 2 October 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to
2 Oct 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
7 |
3 |
- |
| Rank change year-on-year |
-4 |
- |
- |
| Permanent jobs citing Computer Science |
1 |
2 |
0 |
| As % of all permanent jobs in Southall |
5.26% |
25.00% |
- |
| As % of the Processes & Methodologies category |
14.29% |
28.57% |
- |
| Number of salaries quoted |
1 |
0 |
0 |
| 10th Percentile |
- |
- |
- |
| 25th Percentile |
£45,862 |
- |
- |
| Median annual salary (50th Percentile) |
£51,407 |
- |
- |
| 75th Percentile |
£56,951 |
- |
- |
| 90th Percentile |
- |
- |
- |
| Ealing median annual salary |
£51,407 |
- |
£40,000 |
Computer 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 Southall.
| Permanent vacancies with a requirement for process or methodology skills |
7 |
7 |
27 |
| As % of all permanent jobs advertised in Southall |
36.84% |
87.50% |
100.00% |
| Number of salaries quoted |
3 |
0 |
0 |
| 10th Percentile |
£33,000 |
- |
- |
| 25th Percentile |
£37,500 |
- |
- |
| Median annual salary (50th Percentile) |
£45,000 |
- |
- |
| 75th Percentile |
£50,976 |
- |
- |
| 90th Percentile |
£54,561 |
- |
- |
| Ealing median annual salary |
£55,000 |
£47,500 |
£52,500 |
| % change year-on-year |
+15.79% |
-9.52% |
+13.29% |
Computer Science
Job Vacancy Trend in Southall
Historical trend showing the proportion of permanent IT job postings citing Computer Science relative to all permanent IT jobs advertised in Southall.
Computer Science
Co-Occurring Skills & Capabilities in Southall 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:
