The table below looks at the prevalence of the term Algorithms in permanent job vacancies in Staffordshire. Included is a benchmarking guide to the salaries offered in vacancies that cited Algorithms over the 6 months leading up to 12 May 2025, comparing them to the same period in the previous two years.
6 months to 12 May 2025
Same period 2024
Same period 2023
Rank
62
78
59
Rank change year-on-year
+16
-19
-
Permanent jobs citing Algorithms
1
9
5
As % of all permanent jobs advertised in Staffordshire
Algorithms falls under the General and Transferable Skills category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring generic IT skills in Staffordshire.
Permanent vacancies with a requirement for generic IT skills
341
311
179
As % of all permanent jobs advertised in Staffordshire
56.83%
30.64%
33.90%
Number of salaries quoted
193
200
99
10th Percentile
£26,375
£24,925
£28,000
25th Percentile
£33,750
£31,114
£34,563
Median annual salary (50th Percentile)
£36,925
£44,000
£45,000
Median % change year-on-year
-16.08%
-2.22%
+5.88%
75th Percentile
£43,750
£58,750
£53,750
90th Percentile
£58,500
£62,500
£71,000
West Midlands median annual salary
£47,500
£52,500
£55,000
% change year-on-year
-9.52%
-4.55%
+15.79%
Algorithms Job Vacancy Trend in Staffordshire
Job postings citing Algorithms as a proportion of all IT jobs advertised in Staffordshire.
Algorithms Salary Trend in Staffordshire
3-month moving average salary quoted in jobs citing Algorithms in Staffordshire.
Algorithms Top 25 Co-occurring Skills and Capabilities in Staffordshire
For the 6 months to 12 May 2025, job vacancies citing Algorithms also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number co-occurrences and as a proportion of all permanent job ads across the Staffordshire region with a requirement for Algorithms.
Algorithms Co-occurring Skills and Capabilities in Staffordshire 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:
