scikit-learn Jobs in the City of Westminster

scikit-learn
Central London > City of Westminster

The following table provides summary statistics for permanent job vacancies advertised in the City of Westminster 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 3 May 2024 with a comparison to the same period in the previous 2 years.

6 months to
3 May 2024
Same period 2023 Same period 2022
Rank 26 - -
Rank change year-on-year - - -
Permanent jobs citing scikit-learn 6 0 0
As % of all permanent jobs advertised in the City of Westminster 3.59% - -
As % of the Libraries, Frameworks & Software Standards category 12.00% - -
Number of salaries quoted 0 0 0
Median annual salary (50th Percentile) - - -
Central London median annual salary £83,750 £75,000 £72,500
% change year-on-year +11.67% +3.45% -0.34%

All Software Libraries and Frameworks
City of Westminster

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 the City of Westminster 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 50 34 27
As % of all permanent jobs advertised in the City of Westminster 29.94% 30.36% 16.17%
Number of salaries quoted 32 32 18
10th Percentile £25,500 £51,250 £37,275
25th Percentile £53,438 £64,063 £49,688
Median annual salary (50th Percentile) £72,500 £92,500 £76,250
Median % change year-on-year -21.62% +21.31% +34.35%
75th Percentile £85,313 £111,250 £85,938
90th Percentile £115,000 - £107,375
Central London median annual salary £75,000 £80,000 £77,500
% change year-on-year -6.25% +3.23% +6.90%

scikit-learn
Job Vacancy Trend in the City of Westminster

Job postings citing scikit-learn as a proportion of all IT jobs advertised in the City of Westminster.

Job vacancy trend for scikit-learn in the City of Westminster

scikit-learn
Co-occurring Skills and Capabilities in the City of 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:

Database & Business Intelligence
1 6 (100.00%) Tableau
Development Applications
1 6 (100.00%) Git
General
1 6 (100.00%) Social Skills
Job Titles
1 6 (100.00%) Data Scientist
1 6 (100.00%) Senior
1 6 (100.00%) Senior Data Scientist
Libraries, Frameworks & Software Standards
1 6 (100.00%) Pandas
1 6 (100.00%) PySpark
1 6 (100.00%) TensorFlow
Miscellaneous
1 6 (100.00%) Algorithms
Processes & Methodologies
1 6 (100.00%) Actionable Insight
1 6 (100.00%) Artificial Intelligence
1 6 (100.00%) Customer Experience
1 6 (100.00%) Data Munging
1 6 (100.00%) Data Science
1 6 (100.00%) Decision-Making
1 6 (100.00%) Demand Forecasting
1 6 (100.00%) Machine Learning
1 6 (100.00%) Mathematics
1 6 (100.00%) MLOps
1 6 (100.00%) Natural Language Processing
1 6 (100.00%) Neural Network
1 6 (100.00%) Physics
1 6 (100.00%) Predictive Modelling
1 6 (100.00%) Propensity Modelling
1 6 (100.00%) Root Cause Analysis
1 6 (100.00%) Statistics
1 6 (100.00%) Storytelling
1 6 (100.00%) Visualisation
1 6 (100.00%) WFM
Programming Languages
1 6 (100.00%) Python
1 6 (100.00%) SQL
Qualifications
1 6 (100.00%) DBS Check
1 6 (100.00%) Degree
1 6 (100.00%) Master's Degree
Vendors
1 6 (100.00%) Databricks