scikit-learn Contract Job Trends in Nottingham

scikit-learn
Nottinghamshire > Nottingham

The table below provides summary statistics and contractor rates for jobs advertised in Nottingham requiring scikit-learn skills. It covers contract job vacancies from the 6 months leading up to 13 December 2025, with comparisons to the same periods in the previous two years.

6 months to
13 Dec 2025
Same period 2024 Same period 2023
Rank 24 - -
Rank change year-on-year - - -
Contract jobs citing scikit-learn 1 0 0
As % of all contract jobs in Nottingham 0.65% - -
As % of the Libraries, Frameworks & Software Standards category 3.23% - -
Number of daily rates quoted 0 0 0
Median daily rate (50th Percentile) - - -
Nottinghamshire median daily rate - - -

All Software Libraries and Frameworks
Nottingham

scikit-learn 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 Nottingham.

Contract vacancies with a requirement for technical specification, industry standards, software libraries and framework skills 31 37 40
As % of all contract IT jobs advertised in Nottingham 20.00% 25.87% 24.84%
Number of daily rates quoted 22 26 36
10th Percentile £380 £369 £288
25th Percentile £395 £464 £358
Median daily rate (50th Percentile) £498 £500 £431
Median % change year-on-year -0.35% +15.94% -13.75%
75th Percentile £534 £550 £631
90th Percentile £693 £600 £663
Nottinghamshire median daily rate £498 £500 £431
% change year-on-year -0.35% +15.94% -13.75%

scikit-learn
Job Vacancy Trend in Nottingham

Historical trend showing the proportion of contract IT job postings citing scikit-learn relative to all contract IT jobs advertised in Nottingham.

scikit-learn job vacancy trend in Nottingham

scikit-learn
Co-Occurring Skills & Capabilities in Nottingham by Category

The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:

Cloud Services
1 1 (100.00%) Azure
1 1 (100.00%) Azure Data Factory
1 1 (100.00%) Azure DevOps
1 1 (100.00%) Azure Key Vault
1 1 (100.00%) Azure Machine Learning
Database & Business Intelligence
1 1 (100.00%) Data Lake
Job Titles
1 1 (100.00%) Data Scientist
Libraries, Frameworks & Software Standards
1 1 (100.00%) Prophet
1 1 (100.00%) PySpark
1 1 (100.00%) XGBoost
Processes & Methodologies
1 1 (100.00%) Actionable Insight
1 1 (100.00%) ARIMA
1 1 (100.00%) CI/CD
1 1 (100.00%) Continuous Improvement
1 1 (100.00%) Data Engineering
1 1 (100.00%) Data Governance
1 1 (100.00%) Data Ingestion
1 1 (100.00%) Data Science
1 1 (100.00%) Demand Forecasting
1 1 (100.00%) DevOps
1 1 (100.00%) ETRM
1 1 (100.00%) Feature Engineering
1 1 (100.00%) Linear Regression
1 1 (100.00%) Machine Learning
1 1 (100.00%) Performance Optimisation
1 1 (100.00%) Random Forest
1 1 (100.00%) Risk Management
1 1 (100.00%) Statistics
Programming Languages
1 1 (100.00%) Python
Vendors
1 1 (100.00%) Databricks