The table below provides summary statistics for permanent job vacancies advertised in Lancaster requiring Data Science skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Data Science over the 6 months leading up to 18 May 2025, comparing them to the same period in the previous two years.
6 months to 18 May 2025
Same period 2024
Same period 2023
Rank
11
21
-
Rank change year-on-year
+10
-
-
Permanent jobs citing Data Science
1
5
0
As % of all permanent jobs advertised in Lancaster
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 Lancaster.
Permanent vacancies with a requirement for process or methodology skills
39
108
36
As % of all permanent jobs advertised in Lancaster
97.50%
78.83%
100.00%
Number of salaries quoted
34
102
25
10th Percentile
£28,703
£31,210
£32,300
25th Percentile
£34,027
£38,750
£37,250
Median annual salary (50th Percentile)
£42,259
£50,000
£49,000
Median % change year-on-year
-15.48%
+2.04%
+15.29%
75th Percentile
£53,093
£52,084
£60,800
90th Percentile
£60,125
£62,250
£71,740
Lancashire median annual salary
£50,055
£50,000
£47,500
% change year-on-year
+0.11%
+5.26%
+5.56%
Data Science Job Vacancy Trend in Lancaster
Job postings citing Data Science as a proportion of all IT jobs advertised in Lancaster.
Data Science Salary Trend in Lancaster
3-month moving average salary quoted in jobs citing Data Science in Lancaster.
Data Science Top 10 Co-occurring Skills and Capabilities in Lancaster
For the 6 months to 18 May 2025, job vacancies citing Data Science 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 Lancaster region with a requirement for Data Science.
Data Science Co-occurring Skills and Capabilities in Lancaster 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:
