The table below looks at the prevalence of the term Algorithms in permanent job vacancies advertised in Peterborough. Included is a benchmarking guide to the salaries offered in vacancies that have cited Algorithms over the 6 months to 3 May 2024 with a comparison to the same period over the previous 2 years.
6 months to 3 May 2024
Same period 2023
Same period 2022
Rank
33
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Algorithms
1
0
0
As % of all permanent jobs advertised in Peterborough
Algorithms is in the General and Transferable Skills category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Peterborough with a requirement for generic IT skills.
Permanent vacancies with a requirement for generic IT skills
60
88
113
As % of all permanent jobs advertised in Peterborough
25.32%
44.44%
38.70%
Number of salaries quoted
41
29
95
10th Percentile
£26,250
£41,250
£37,500
25th Percentile
£32,500
£50,000
£41,250
Median annual salary (50th Percentile)
£45,000
£62,500
£50,000
Median % change year-on-year
-28.00%
+25.00%
+17.65%
75th Percentile
£47,500
£66,250
£60,000
90th Percentile
£65,000
£68,000
£77,500
Cambridgeshire median annual salary
£55,000
£60,000
£52,500
% change year-on-year
-8.33%
+14.29%
-12.50%
Algorithms Job Vacancy Trend in Peterborough
Job postings citing Algorithms as a proportion of all IT jobs advertised in Peterborough.
Algorithms Salary Trend in Peterborough
3-month moving average salary quoted in jobs citing Algorithms in Peterborough.
Algorithms Top 18 Co-occurring Skills and Capabilities in Peterborough
For the 6 months to 3 May 2024, 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 Peterborough region with a requirement for Algorithms.
Algorithms Co-occurring Skills and Capabilities in Peterborough 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:
