The following table provides summary statistics for permanent job vacancies advertised in Cambridge with a requirement for scikit-learn skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited scikit-learn over the 6 months to 13 May 2024 with a comparison to the same period in the previous 2 years.
6 months to 13 May 2024
Same period 2023
Same period 2022
Rank
77
94
126
Rank change year-on-year
+17
+32
-31
Permanent jobs citing scikit-learn
6
2
2
As % of all permanent jobs advertised in Cambridge
scikit-learn is in the Software Libraries and Frameworks category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Cambridge with a requirement for technical specification, industry standards, software libraries and framework skills.
Permanent vacancies with a requirement for technical specification, industry standards, software libraries and framework skills
225
305
488
As % of all permanent jobs advertised in Cambridge
22.43%
32.14%
29.40%
Number of salaries quoted
179
136
164
10th Percentile
£41,250
£36,250
£42,500
25th Percentile
£49,375
£45,000
£50,000
Median annual salary (50th Percentile)
£67,500
£62,500
£60,000
Median % change year-on-year
+8.00%
+4.17%
+4.35%
75th Percentile
£80,001
£80,000
£78,500
90th Percentile
£92,500
£92,500
£90,000
Cambridgeshire median annual salary
£65,000
£60,875
£60,000
% change year-on-year
+6.78%
+1.46%
+9.09%
scikit-learn Job Vacancy Trend in Cambridge
Job postings citing scikit-learn as a proportion of all IT jobs advertised in Cambridge.
scikit-learn Salary Trend in Cambridge
3-month moving average salary quoted in jobs citing scikit-learn in Cambridge.
scikit-learn Salary Histogram in Cambridge
Salary distribution for jobs citing scikit-learn in Cambridge over the 6 months to 13 May 2024.
scikit-learn Top 28 Co-occurring Skills and Capabilities in Cambridge
For the 6 months to 13 May 2024, job vacancies citing scikit-learn 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 Cambridge region with a requirement for scikit-learn.
scikit-learn Co-occurring Skills and Capabilities in Cambridge 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:
