The table below provides summary statistics for permanent job vacancies advertised in Burton-upon-Trent 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 14 August 2025, comparing them to the same period in the previous two years.
6 months to 14 Aug 2025
Same period 2024
Same period 2023
Rank
20
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Data Science
1
0
0
As % of all permanent jobs advertised in Burton-upon-Trent
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 Burton-upon-Trent.
Permanent vacancies with a requirement for process or methodology skills
49
65
56
As % of all permanent jobs advertised in Burton-upon-Trent
56.98%
87.84%
98.25%
Number of salaries quoted
24
42
36
10th Percentile
£37,725
£22,750
£24,875
25th Percentile
£50,000
£24,563
£31,250
Median annual salary (50th Percentile)
£59,625
£52,500
£54,500
Median % change year-on-year
+13.57%
-3.67%
+28.24%
75th Percentile
£63,563
£60,000
£57,813
90th Percentile
£71,825
£63,750
£70,625
Staffordshire median annual salary
£42,500
£40,060
£43,250
% change year-on-year
+6.09%
-7.38%
-3.89%
Data Science Job Vacancy Trend in Burton-upon-Trent
Job postings citing Data Science as a proportion of all IT jobs advertised in Burton-upon-Trent.
Data Science Top 12 Co-occurring Skills and Capabilities in Burton-upon-Trent
For the 6 months to 14 August 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 Burton-upon-Trent region with a requirement for Data Science.
Data Science Co-occurring Skills and Capabilities in Burton-upon-Trent 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:
