The table below provides summary statistics and salary benchmarking for jobs advertised in Kensington requiring Predictive Modelling skills. It covers permanent job vacancies from the 6 months leading up to 4 October 2025, with comparisons to the same periods 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 Kensington.
Permanent vacancies with a requirement for process or methodology skills
4
6
11
As % of all permanent jobs advertised in Kensington
80.00%
85.71%
100.00%
Number of salaries quoted
2
6
11
10th Percentile
£56,125
-
£33,750
25th Percentile
£61,563
-
£41,250
Median annual salary (50th Percentile)
£73,750
£40,000
£65,000
Median % change year-on-year
+84.38%
-38.46%
+40.54%
75th Percentile
£86,563
£49,375
£83,125
90th Percentile
£92,375
£61,875
£87,500
Kensington and Chelsea median annual salary
£65,000
£42,500
£65,000
% change year-on-year
+52.94%
-34.62%
+40.54%
Predictive Modelling Job Vacancy Trend in Kensington
Historical trend showing the proportion of permanent IT job postings citing Predictive Modelling relative to all permanent IT jobs advertised in Kensington.
Predictive Modelling Salary Trend in Kensington
Salary distribution trend for jobs in Kensington citing Predictive Modelling.
Predictive Modelling Top 24 Co-Occurring Skills & Capabilities in Kensington
For the 6 months to 4 October 2025, job vacancies citing Predictive Modelling also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all permanent job ads across the Kensington region with a requirement for Predictive Modelling.
Predictive Modelling Co-Occurring Skills & Capabilities in Kensington by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:
