NumPy Contracts in Westminster

NumPy
City of Westminster > Westminster

The table below provides summary statistics for contract job vacancies advertised in Westminster requiring NumPy skills. It includes a benchmarking guide to the contractor rates offered in vacancies that cited NumPy over the 6 months leading up to 1 May 2025, comparing them to the same period in the previous two years.

6 months to
1 May 2025
Same period 2024 Same period 2023
Rank 6 - -
Rank change year-on-year - - -
Contract jobs citing NumPy 1 0 0
As % of all contract jobs advertised in Westminster 7.69% - -
As % of the Libraries, Frameworks & Software Standards category 20.00% - -
Number of daily rates quoted 1 0 0
10th Percentile - - -
25th Percentile £510 - -
Median daily rate (50th Percentile) £520 - -
75th Percentile £530 - -
90th Percentile - - -
City of Westminster median daily rate £573 £1,000 -
% change year-on-year -42.75% - -

All Software Libraries and Frameworks
Westminster

NumPy falls under the Software Libraries and Frameworks category. For comparison with the information above, the following table provides summary statistics for all contract job vacancies requiring technical specification, industry standards, software libraries and framework skills in Westminster.

Contract vacancies with a requirement for technical specification, industry standards, software libraries and framework skills 5 6 0
As % of all contract IT jobs advertised in Westminster 38.46% 75.00% -
Number of daily rates quoted 5 0 0
10th Percentile £516 - -
25th Percentile £525 - -
Median daily rate (50th Percentile) £550 - -
75th Percentile £838 - -
90th Percentile - - -
City of Westminster median daily rate £535 £625 £800
% change year-on-year -14.40% -21.88% +20.75%

NumPy
Job Vacancy Trend in Westminster

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

Job vacancy trend for NumPy in Westminster

NumPy
Co-occurring Skills and Capabilities in Westminster 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:

Cloud Services
1 1 (100.00%) Amazon S3
1 1 (100.00%) Amazon SageMaker
1 1 (100.00%) AWS
1 1 (100.00%) AWS CodeCommit
1 1 (100.00%) AWS Lambda
1 1 (100.00%) Cloud9 IDE
1 1 (100.00%) Serverless
1 1 (100.00%) Textract
Database & Business Intelligence
1 1 (100.00%) Oracle Database
1 1 (100.00%) PostgreSQL
Job Titles
1 1 (100.00%) Data Scientist
Libraries, Frameworks & Software Standards
1 1 (100.00%) OpenCV
1 1 (100.00%) Pandas
1 1 (100.00%) pydantic
1 1 (100.00%) PyTorch
1 1 (100.00%) scikit-learn
1 1 (100.00%) SciPy
1 1 (100.00%) TensorFlow
Processes & Methodologies
1 1 (100.00%) Artificial Intelligence
1 1 (100.00%) Computer Vision
1 1 (100.00%) Data Munging
1 1 (100.00%) Data Science
1 1 (100.00%) Data Visualisation
1 1 (100.00%) Deep Learning
1 1 (100.00%) Natural Language Processing
1 1 (100.00%) Statistical Inference
1 1 (100.00%) Visualisation
Programming Languages
1 1 (100.00%) Python
1 1 (100.00%) SQL
Vendors
1 1 (100.00%) Oracle