Algorithms Jobs in Gerrards Cross

Algorithms
Buckinghamshire > Gerrards Cross

The table below looks at the prevalence of the term Algorithms in permanent job vacancies in Gerrards Cross. 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 10 - -
Rank change year-on-year - - -
Permanent jobs citing Algorithms 2 0 0
As % of all permanent jobs advertised in Gerrards Cross 9.52% - -
As % of the Miscellaneous category 20.00% - -
Number of salaries quoted 1 0 0
Median annual salary (50th Percentile) £76,000 - -
Buckinghamshire median annual salary £76,000 £46,250 £100,000
% change year-on-year +64.32% -53.75% +42.86%

All Generic Skills
Gerrards Cross

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 Gerrards Cross.

Permanent vacancies with a requirement for generic IT skills 10 0 4
As % of all permanent jobs advertised in Gerrards Cross 47.62% - 57.14%
Number of salaries quoted 9 0 0
10th Percentile - - -
25th Percentile £56,250 - -
Median annual salary (50th Percentile) £57,500 - -
75th Percentile £58,750 - -
90th Percentile £62,200 - -
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 Gerrards Cross

Job postings citing Algorithms as a proportion of all IT jobs advertised in Gerrards Cross.

Job vacancy trend for Algorithms in Gerrards Cross

Algorithms
Salary Trend in Gerrards Cross

3-month moving average salary quoted in jobs citing Algorithms in Gerrards Cross.

Salary trend for Algorithms in Gerrards Cross

Algorithms
Co-occurring Skills and Capabilities in Gerrards Cross 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:

Cloud Services
1 2 (100.00%) Power Platform
Database & Business Intelligence
1 2 (100.00%) Geospatial Data
1 2 (100.00%) GIS
1 2 (100.00%) Power BI
1 2 (100.00%) Power Query
Processes & Methodologies
1 2 (100.00%) Actionable Insight
1 2 (100.00%) Asset Management
1 2 (100.00%) Business Intelligence
1 2 (100.00%) Data Management
1 2 (100.00%) Problem-Solving
1 2 (100.00%) Service Delivery
1 2 (100.00%) Strategic Planning
Programming Languages
1 2 (100.00%) SQL