The table below provides summary statistics and salary benchmarking for jobs advertised in Macclesfield requiring Data Science skills. It covers permanent job vacancies from the 6 months leading up to 25 November 2025, with comparisons to the same periods in the previous two years.
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 Macclesfield.
Permanent vacancies with a requirement for process or methodology skills
20
4
5
As % of all permanent jobs advertised in Macclesfield
86.96%
80.00%
55.56%
Number of salaries quoted
13
3
4
10th Percentile
£30,000
£35,400
£51,500
25th Percentile
£32,000
£41,625
£53,750
Median annual salary (50th Percentile)
£37,500
£54,000
£62,500
Median % change year-on-year
-30.56%
-13.60%
+68.92%
75th Percentile
£50,000
£61,000
£71,250
90th Percentile
-
£64,000
£73,500
Cheshire median annual salary
£48,720
£47,500
£50,000
% change year-on-year
+2.57%
-5.00%
+11.11%
Data Science Job Vacancy Trend in Macclesfield
Historical trend showing the proportion of permanent IT job postings citing Data Science relative to all permanent IT jobs advertised in Macclesfield.
Data Science Salary Trend in Macclesfield
Salary distribution trend for jobs in Macclesfield citing Data Science.
Data Science Top 27 Co-Occurring Skills & Capabilities in Macclesfield
For the 6 months to 25 November 2025, job vacancies citing Data Science 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 Macclesfield region with a requirement for Data Science.
Data Science Co-Occurring Skills & Capabilities in Macclesfield 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:
