As of 10 May 2025, there is not enough information available from job vacancies posted within the last 6 months to determine the median Data Scientist salary in Guildford.
6 months to 10 May 2025
Same period 2024
Same period 2023
Rank
21
-
-
Rank change year-on-year
-
-
-
Permanent jobs requiring a Data Scientist
1
0
0
As % of all permanent jobs advertised in Guildford
For comparison with the information above, the following table provides summary statistics for all permanent IT job vacancies in Guildford. Most job vacancies include a discernible job title that can be normalized. As such, the figures in the second row provide an indication of the number of permanent jobs in our overall sample.
Permanent vacancies in Guildford with a recognized job title
100
331
355
% of permanent jobs with a recognized job title
93.46%
92.46%
97.53%
Number of salaries quoted
83
307
235
10th Percentile
£31,500
£31,000
£32,000
25th Percentile
£46,250
£37,500
£45,000
Median annual salary (50th Percentile)
£55,790
£47,500
£57,500
Median % change year-on-year
+17.45%
-17.39%
-4.17%
75th Percentile
£77,250
£60,000
£67,500
90th Percentile
£82,500
£70,000
£79,000
Surrey median annual salary
£55,000
£50,000
£60,000
% change year-on-year
+10.00%
-16.67%
+8.11%
Data Scientist Job Vacancy Trend in Guildford
Job postings that featured Data Scientist in the job title as a proportion of all IT jobs advertised in Guildford.
Data Scientist Salary Trend in Guildford
3-month moving average salary quoted in jobs citing Data Scientist in Guildford.
Data Scientist Skill Set Top 24 Co-occurring Skills and Capabilities in Guildford
For the 6 months to 10 May 2025, Data Scientist job roles required 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 Guildford region featuring Data Scientist in the job title.
Data Scientist Skill Set Co-occurring Skills and Capabilities in Guildford 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:
