The table below looks at the prevalence of the term Algorithms in permanent job vacancies in High Wycombe. Included is a benchmarking guide to the salaries offered in vacancies that cited Algorithms over the 6 months leading up to 2 May 2025, comparing them to the same period in the previous two years.
6 months to 2 May 2025
Same period 2024
Same period 2023
Rank
7
24
-
Rank change year-on-year
+17
-
-
Permanent jobs citing Algorithms
4
2
0
As % of all permanent jobs advertised in High Wycombe
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 High Wycombe.
Permanent vacancies with a requirement for generic IT skills
14
31
44
As % of all permanent jobs advertised in High Wycombe
45.16%
21.53%
55.00%
Number of salaries quoted
12
15
10
10th Percentile
£57,670
-
£30,750
25th Percentile
£66,918
£32,500
£36,156
Median annual salary (50th Percentile)
£76,000
£40,000
£42,500
Median % change year-on-year
+90.00%
-5.88%
-29.17%
75th Percentile
£90,000
£42,875
£51,186
90th Percentile
£108,750
£43,250
£60,750
Buckinghamshire median annual salary
£53,500
£45,000
£52,500
% change year-on-year
+18.89%
-14.29%
-4.55%
Algorithms Job Vacancy Trend in High Wycombe
Job postings citing Algorithms as a proportion of all IT jobs advertised in High Wycombe.
Algorithms Salary Trend in High Wycombe
3-month moving average salary quoted in jobs citing Algorithms in High Wycombe.
Algorithms Top 13 Co-occurring Skills and Capabilities in High Wycombe
For the 6 months to 2 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 High Wycombe region with a requirement for Algorithms.
Algorithms Co-occurring Skills and Capabilities in High Wycombe 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:
