NumPy Jobs in Gloucester

NumPy
Gloucestershire > Gloucester

The following table provides summary statistics for permanent job vacancies advertised in Gloucester with a requirement for NumPy skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited NumPy over the 6 months to 6 May 2024 with a comparison to the same period in the previous 2 years.

6 months to
6 May 2024
Same period 2023 Same period 2022
Rank 59 - -
Rank change year-on-year - - -
Permanent jobs citing NumPy 15 0 0
As % of all permanent jobs advertised in Gloucester 2.75% - -
As % of the Libraries, Frameworks & Software Standards category 15.00% - -
Number of salaries quoted 0 0 0
Median annual salary (50th Percentile) - - -
Gloucestershire median annual salary £77,500 £58,750 -
% change year-on-year +31.91% - -

All Software Libraries and Frameworks
Gloucester

NumPy 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 Gloucester 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 100 174 169
As % of all permanent jobs advertised in Gloucester 18.32% 30.05% 35.65%
Number of salaries quoted 46 28 28
10th Percentile £42,500 £34,725 £23,000
25th Percentile £47,500 £41,250 £28,063
Median annual salary (50th Percentile) £55,000 £52,500 £48,750
Median % change year-on-year +4.76% +7.69% -2.50%
75th Percentile £62,188 £70,313 £62,813
90th Percentile £62,500 £77,875 £71,125
Gloucestershire median annual salary £52,500 £55,000 £50,000
% change year-on-year -4.55% +10.00% -

NumPy
Job Vacancy Trend in Gloucester

Job postings citing NumPy as a proportion of all IT jobs advertised in Gloucester.

Job vacancy trend for NumPy in Gloucester

NumPy
Co-occurring Skills and Capabilities in Gloucester 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:

Job Titles
1 15 (100.00%) Data Scientist
Libraries, Frameworks & Software Standards
1 15 (100.00%) Keras
1 15 (100.00%) TensorFlow
Miscellaneous
1 15 (100.00%) Algorithms
Processes & Methodologies
1 15 (100.00%) Agile
1 15 (100.00%) Business Analysis
1 15 (100.00%) Business Intelligence
1 15 (100.00%) Data Engineering
1 15 (100.00%) Data Modelling
1 15 (100.00%) Data Science
1 15 (100.00%) Machine Learning
1 15 (100.00%) Minimum Viable Product
1 15 (100.00%) Prototyping
1 15 (100.00%) Statistics
1 15 (100.00%) Visualisation
2 14 (93.33%) Actionable Insight
3 12 (80.00%) Analytics
Programming Languages
1 15 (100.00%) MATLAB
1 15 (100.00%) Python
Qualifications
1 15 (100.00%) DV Cleared
1 15 (100.00%) Security Cleared