The table below provides summary statistics and salary benchmarking for jobs advertised in Derby requiring Predictive Modelling skills. It covers permanent job vacancies from the 6 months leading up to 31 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 Derby.
Permanent vacancies with a requirement for process or methodology skills
170
177
199
As % of all permanent jobs advertised in Derby
87.18%
67.05%
96.60%
Number of salaries quoted
112
109
86
10th Percentile
£24,250
£31,850
£23,000
25th Percentile
£26,250
£37,500
£30,688
Median annual salary (50th Percentile)
£40,000
£47,500
£50,250
Median % change year-on-year
-15.79%
-5.47%
+8.65%
75th Percentile
£56,250
£60,000
£59,688
90th Percentile
£67,500
£61,250
£65,000
Derbyshire median annual salary
£35,500
£45,000
£50,000
% change year-on-year
-21.11%
-10.00%
+11.11%
Predictive Modelling Job Vacancy Trend in Derby
Historical trend showing the proportion of permanent IT job postings citing Predictive Modelling relative to all permanent IT jobs advertised in Derby.
Predictive Modelling Salary Trend in Derby
Salary distribution trend for jobs in Derby citing Predictive Modelling.
Predictive Modelling Top 25 Co-Occurring Skills & Capabilities in Derby
For the 6 months to 31 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 Derby region with a requirement for Predictive Modelling.
Predictive Modelling Co-Occurring Skills & Capabilities in Derby 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:
