NumPy Contracts in Wokingham

NumPy
Berkshire > Wokingham

The table below provides summary statistics for contract job vacancies advertised in Wokingham 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 28 - 20
Rank change year-on-year - - -
Contract jobs citing NumPy 2 0 1
As % of all contract jobs advertised in Wokingham 1.13% - 1.39%
As % of the Libraries, Frameworks & Software Standards category 4.88% - 5.56%
Number of daily rates quoted 1 0 1
10th Percentile - - -
25th Percentile - - £463
Median daily rate (50th Percentile) £500 - £475
75th Percentile - - £488
90th Percentile - - -
Berkshire median daily rate £500 - £538
% change year-on-year - - -20.37%

All Software Libraries and Frameworks
Wokingham

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 Wokingham.

Contract vacancies with a requirement for technical specification, industry standards, software libraries and framework skills 41 26 18
As % of all contract IT jobs advertised in Wokingham 23.16% 37.14% 25.00%
Number of daily rates quoted 25 20 9
10th Percentile £410 £337 £403
25th Percentile £413 £467 £463
Median daily rate (50th Percentile) £450 £497 £500
Median % change year-on-year -9.37% -0.70% +17.65%
75th Percentile £500 £565 £588
90th Percentile £520 £576 £675
Berkshire median daily rate £500 £525 £550
% change year-on-year -4.71% -4.55% +7.32%

NumPy
Job Vacancy Trend in Wokingham

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

Job vacancy trend for NumPy in Wokingham

NumPy
Co-occurring Skills and Capabilities in Wokingham 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:

Application Platforms
1 2 (100.00%) Apache
1 2 (100.00%) Apache Spark
Cloud Services
1 2 (100.00%) AWS
1 2 (100.00%) Azure
1 2 (100.00%) GCP
Database & Business Intelligence
1 2 (100.00%) Big Data
1 2 (100.00%) Hadoop
2 1 (50.00%) Relational Database
Development Applications
1 1 (50.00%) Git
General
1 1 (50.00%) Social Skills
Job Titles
1 2 (100.00%) Data Scientist
Libraries, Frameworks & Software Standards
1 2 (100.00%) Pandas
1 2 (100.00%) scikit-learn
2 1 (50.00%) Prophet
2 1 (50.00%) TensorFlow
2 1 (50.00%) XGBoost
Miscellaneous
1 2 (100.00%) Algorithms
1 2 (100.00%) Distributed Computing
Processes & Methodologies
1 2 (100.00%) Data Cleansing
1 2 (100.00%) Data Science
1 2 (100.00%) Data Visualisation
1 2 (100.00%) Decision-Making
1 2 (100.00%) Machine Learning
1 2 (100.00%) Model Validation
1 2 (100.00%) Predictive Analysis
1 2 (100.00%) Problem-Solving
1 2 (100.00%) Statistical Modelling
1 2 (100.00%) Time Series Analysis
1 2 (100.00%) Visualisation
2 1 (50.00%) Agile
2 1 (50.00%) ARIMA
2 1 (50.00%) Data Engineering
2 1 (50.00%) LSTM
2 1 (50.00%) MLOps
2 1 (50.00%) Predictive Modelling
2 1 (50.00%) Time Series Forecasting
2 1 (50.00%) Translating Business Requirements
2 1 (50.00%) Use Case
Programming Languages
1 2 (100.00%) Python
2 1 (50.00%) SQL
Vendors
1 2 (100.00%) Google