The table below provides summary statistics for permanent job vacancies advertised in Slough requiring Predictive Modelling skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Predictive Modelling over the 6 months leading up to 3 May 2025, comparing them to the same period in the previous two years.
Predictive Modelling 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 Slough.
Permanent vacancies with a requirement for process or methodology skills
251
119
263
As % of all permanent jobs advertised in Slough
98.82%
88.15%
95.29%
Number of salaries quoted
52
103
127
10th Percentile
£39,225
£27,750
£27,575
25th Percentile
£41,250
£35,750
£46,570
Median annual salary (50th Percentile)
£65,000
£44,000
£57,500
Median % change year-on-year
+47.73%
-23.48%
-
75th Percentile
£71,250
£68,125
£68,750
90th Percentile
£75,000
£71,250
£77,350
Berkshire median annual salary
£60,000
£54,000
£60,000
% change year-on-year
+11.11%
-10.00%
+2.56%
Predictive Modelling Job Vacancy Trend in Slough
Job postings citing Predictive Modelling as a proportion of all IT jobs advertised in Slough.
Predictive Modelling Salary Trend in Slough
3-month moving average salary quoted in jobs citing Predictive Modelling in Slough.
Predictive Modelling Top 20 Co-occurring Skills and Capabilities in Slough
For the 6 months to 3 May 2025, job vacancies citing Predictive Modelling 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 Slough region with a requirement for Predictive Modelling.
Predictive Modelling Co-occurring Skills and Capabilities in Slough 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:
