The following table provides summary statistics for permanent job vacancies advertised in Camberley with a requirement for Data Science skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Data Science over the 6 months to 5 May 2024 with a comparison to the same period in the previous 2 years.
6 months to 5 May 2024
Same period 2023
Same period 2022
Rank
13
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Data Science
3
0
0
As % of all permanent jobs advertised in Camberley
Data Science is in the Processes and Methodologies category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Camberley with a requirement for process or methodology skills.
Permanent vacancies with a requirement for process or methodology skills
78
116
51
As % of all permanent jobs advertised in Camberley
95.12%
92.80%
87.93%
Number of salaries quoted
43
83
19
10th Percentile
£25,250
£28,225
£33,800
25th Percentile
£33,000
£37,500
£40,000
Median annual salary (50th Percentile)
£35,500
£45,000
£50,000
Median % change year-on-year
-21.11%
-10.00%
-4.76%
75th Percentile
£53,125
£57,500
£57,500
90th Percentile
£64,750
£67,500
£61,500
Surrey median annual salary
£50,000
£60,000
£57,500
% change year-on-year
-16.67%
+4.35%
+4.55%
Data Science Job Vacancy Trend in Camberley
Job postings citing Data Science as a proportion of all IT jobs advertised in Camberley.
Data Science Salary Trend in Camberley
3-month moving average salary quoted in jobs citing Data Science in Camberley.
Data Science Top 16 Co-occurring Skills and Capabilities in Camberley
For the 6 months to 5 May 2024, job vacancies citing Data Science 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 Camberley region with a requirement for Data Science.
Data Science Co-occurring Skills and Capabilities in Camberley 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:
