The following table provides summary statistics for permanent job vacancies advertised in Sunderland 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 29 April 2024 with a comparison to the same period in the previous 2 years.
6 months to 29 Apr 2024
Same period 2023
Same period 2022
Rank
36
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Data Science
3
0
0
As % of all permanent jobs advertised in Sunderland
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 Sunderland with a requirement for process or methodology skills.
Permanent vacancies with a requirement for process or methodology skills
140
62
69
As % of all permanent jobs advertised in Sunderland
90.32%
96.88%
73.40%
Number of salaries quoted
120
28
35
10th Percentile
£35,000
£30,050
£29,600
25th Percentile
£40,000
£35,000
£34,750
Median annual salary (50th Percentile)
£55,000
£40,000
£42,500
Median % change year-on-year
+37.50%
-5.88%
-5.56%
75th Percentile
£72,500
£57,500
£51,875
90th Percentile
£77,500
£70,600
£60,000
Tyne and Wear median annual salary
£50,000
£52,500
£47,500
% change year-on-year
-4.76%
+10.53%
+5.56%
Data Science Job Vacancy Trend in Sunderland
Job postings citing Data Science as a proportion of all IT jobs advertised in Sunderland.
Data Science Top 16 Co-occurring Skills and Capabilities in Sunderland
For the 6 months to 29 April 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 Sunderland region with a requirement for Data Science.
Data Science Co-occurring Skills and Capabilities in Sunderland 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:
