The table below provides summary statistics for permanent job vacancies advertised in Eastleigh requiring Data Science skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Data Science over the 6 months leading up to 21 May 2025, comparing them to the same period in the previous two years.
6 months to 21 May 2025
Same period 2024
Same period 2023
Rank
12
13
-
Rank change year-on-year
+1
-
-
Permanent jobs citing Data Science
1
18
0
As % of all permanent jobs advertised in Eastleigh
Data Science falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring process or methodology skills in Eastleigh.
Permanent vacancies with a requirement for process or methodology skills
31
93
49
As % of all permanent jobs advertised in Eastleigh
96.88%
96.88%
87.50%
Number of salaries quoted
12
53
34
10th Percentile
£32,500
£29,350
£26,975
25th Percentile
£34,375
£36,250
£41,250
Median annual salary (50th Percentile)
£44,500
£50,000
£42,500
Median % change year-on-year
-11.00%
+17.65%
-9.57%
75th Percentile
£54,800
£72,500
£75,000
90th Percentile
£77,000
£94,500
-
Hampshire median annual salary
£53,500
£50,000
£55,000
% change year-on-year
+7.00%
-9.09%
+4.76%
Data Science Job Vacancy Trend in Eastleigh
Job postings citing Data Science as a proportion of all IT jobs advertised in Eastleigh.
Data Science Salary Trend in Eastleigh
3-month moving average salary quoted in jobs citing Data Science in Eastleigh.
Data Science Top 16 Co-occurring Skills and Capabilities in Eastleigh
For the 6 months to 21 May 2025, 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 Eastleigh region with a requirement for Data Science.
Data Science Co-occurring Skills and Capabilities in Eastleigh 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:
