The table below provides summary statistics for permanent job vacancies advertised in Weybridge 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 12 May 2025, comparing them to the same period in the previous two years.
6 months to 12 May 2025
Same period 2024
Same period 2023
Rank
13
-
16
Rank change year-on-year
-
-
-
Permanent jobs citing Data Science
1
0
6
As % of all permanent jobs advertised in Weybridge
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 Weybridge.
Permanent vacancies with a requirement for process or methodology skills
37
48
79
As % of all permanent jobs advertised in Weybridge
100.00%
80.00%
100.00%
Number of salaries quoted
29
39
77
10th Percentile
-
£29,750
£36,842
25th Percentile
£42,500
£36,250
£46,250
Median annual salary (50th Percentile)
£62,500
£75,000
£60,000
Median % change year-on-year
-16.67%
+25.00%
+36.36%
75th Percentile
£63,750
£85,625
£67,500
90th Percentile
-
£105,000
£70,000
Surrey median annual salary
£53,980
£50,000
£60,000
% change year-on-year
+7.96%
-16.67%
+4.35%
Data Science Job Vacancy Trend in Weybridge
Job postings citing Data Science as a proportion of all IT jobs advertised in Weybridge.
Data Science Salary Trend in Weybridge
3-month moving average salary quoted in jobs citing Data Science in Weybridge.
Data Science Top 17 Co-occurring Skills and Capabilities in Weybridge
For the 6 months to 12 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 Weybridge region with a requirement for Data Science.
Data Science Co-occurring Skills and Capabilities in Weybridge 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:
