The table below provides summary statistics for permanent job vacancies advertised in Potters Bar 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 13 May 2025, comparing them to the same period in the previous two years.
6 months to 13 May 2025
Same period 2024
Same period 2023
Rank
6
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Data Science
1
0
0
As % of all permanent jobs advertised in Potters Bar
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 Potters Bar.
Permanent vacancies with a requirement for process or methodology skills
15
18
5
As % of all permanent jobs advertised in Potters Bar
100.00%
94.74%
50.00%
Number of salaries quoted
4
18
2
10th Percentile
£35,125
£29,975
£79,750
25th Percentile
£39,063
£38,125
£83,125
Median annual salary (50th Percentile)
£46,734
£46,250
£90,000
Median % change year-on-year
+1.05%
-48.61%
+59.29%
75th Percentile
£57,225
£54,375
£95,625
90th Percentile
£68,490
£75,000
£98,250
Hertfordshire median annual salary
£55,000
£52,500
£57,500
% change year-on-year
+4.76%
-8.70%
+4.55%
Data Science Job Vacancy Trend in Potters Bar
Job postings citing Data Science as a proportion of all IT jobs advertised in Potters Bar.
Data Science Salary Trend in Potters Bar
3-month moving average salary quoted in jobs citing Data Science in Potters Bar.
Data Science Top 21 Co-occurring Skills and Capabilities in Potters Bar
For the 6 months to 13 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 Potters Bar region with a requirement for Data Science.
Data Science Co-occurring Skills and Capabilities in Potters Bar 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:
