scikit-learn Jobs with Work from Home Options

scikit-learn
UK > Work from Home

The table below provides summary statistics for permanent job vacancies with an option to work from home (WFH) and 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 1 June 2024 with a comparison to the same period in the previous 2 years.

6 months to
1 Jun 2024
Same period 2023 Same period 2022
Rank 539 602 648
Rank change year-on-year +63 +46 -103
Permanent jobs citing scikit-learn 54 36 242
As % of all permanent jobs with a WFH option 0.16% 0.094% 0.33%
As % of the Libraries, Frameworks & Software Standards category 0.59% 0.28% 0.71%
Number of salaries quoted 6 36 70
10th Percentile £47,500 £56,250 £45,000
25th Percentile £51,250 £60,000 £56,250
Median annual salary (50th Percentile) £65,000 £75,000 £80,000
Median % change year-on-year -13.33% -6.25% +10.34%
75th Percentile £87,500 £86,563 £84,375
90th Percentile £111,250 £111,250 £92,000
UK median annual salary £65,000 £75,000 £80,000
% change year-on-year -13.33% -6.25% +18.52%

All Software Libraries and Frameworks
Work from Home

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 with a WFH option and 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 9,196 12,680 34,102
As % of all permanent jobs with a WFH option 26.47% 32.97% 45.91%
Number of salaries quoted 7,648 9,884 17,213
10th Percentile £38,750 £41,250 £38,750
25th Percentile £47,482 £51,250 £46,500
Median annual salary (50th Percentile) £60,000 £65,351 £62,500
Median % change year-on-year -8.19% +4.56% +13.64%
75th Percentile £79,500 £85,000 £81,250
90th Percentile £100,000 £105,000 £95,000
UK median annual salary £60,000 £67,500 £64,500
% change year-on-year -11.11% +4.65% +17.27%

scikit-learn
Trend for Jobs with a WFH Option

Job vacancies with a work from home option citing scikit-learn as a proportion of all IT jobs advertised.

scikit-learn trend for jobs with a WFH option

scikit-learn
Salary Trend for Jobs with a WFH Option

3-month moving average salary quoted in job vacancies with a work from home option citing scikit-learn.

scikit-learn salary trend for jobs with a WFH option

scikit-learn
Salary Histogram for Jobs with a WFH Option

Salary distribution for jobs with a work from home option citing scikit-learn over the 6 months to 1 June 2024.

scikit-learn salary histogram for jobs with a WFH option

scikit-learn
Co-occurring Skills and Capabilities with WFH Options 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 1 (1.85%) Apache Airflow
1 1 (1.85%) Apache Spark
Cloud Services
1 5 (9.26%) Azure
1 5 (9.26%) GCP
2 4 (7.41%) AWS
3 2 (3.70%) Azure Machine Learning
4 1 (1.85%) Amazon SageMaker
4 1 (1.85%) Azure DevOps
4 1 (1.85%) Cloud Computing
4 1 (1.85%) GitHub
4 1 (1.85%) Power Platform
4 1 (1.85%) Vertex AI
Database & Business Intelligence
1 45 (83.33%) Tableau
2 1 (1.85%) Azure SQL Database
2 1 (1.85%) Big Data
2 1 (1.85%) BigQuery
2 1 (1.85%) Data Mining
2 1 (1.85%) Data Warehouse
2 1 (1.85%) Delta Lake
2 1 (1.85%) Geospatial Data
2 1 (1.85%) Power BI
Development Applications
1 45 (83.33%) Git
General
1 49 (90.74%) Social Skills
2 5 (9.26%) Analytical Skills
3 1 (1.85%) Finance
3 1 (1.85%) Japanese Language
3 1 (1.85%) Public Sector
Job Titles
1 53 (98.15%) Data Scientist
2 47 (87.04%) Senior
2 47 (87.04%) Senior Data Scientist
3 1 (1.85%) Principal Engineer
3 1 (1.85%) Principal Software Engineer
3 1 (1.85%) Software Engineer
Libraries, Frameworks & Software Standards
1 52 (96.30%) Pandas
2 50 (92.59%) TensorFlow
3 45 (83.33%) PySpark
4 2 (3.70%) Keras
4 2 (3.70%) NumPy
4 2 (3.70%) PyTorch
5 1 (1.85%) .NET
5 1 (1.85%) MXNet
5 1 (1.85%) XGBoost
Miscellaneous
1 48 (88.89%) Algorithms
2 2 (3.70%) Renewable Energy
3 1 (1.85%) iPad
Processes & Methodologies
1 54 (100.00%) Data Science
1 54 (100.00%) Machine Learning
2 50 (92.59%) Artificial Intelligence
3 49 (90.74%) Predictive Modelling
4 47 (87.04%) Actionable Insight
4 47 (87.04%) Mathematics
4 47 (87.04%) Natural Language Processing
4 47 (87.04%) Visualisation
5 46 (85.19%) Decision-Making
5 46 (85.19%) Demand Forecasting
5 46 (85.19%) Generative AI
5 46 (85.19%) Statistics
6 45 (83.33%) Customer Experience
6 45 (83.33%) Data Munging
6 45 (83.33%) MLOps
6 45 (83.33%) Neural Network
6 45 (83.33%) Physics
6 45 (83.33%) Propensity Modelling
6 45 (83.33%) Root Cause Analysis
6 45 (83.33%) WFM
Programming Languages
1 53 (98.15%) Python
2 49 (90.74%) SQL
3 2 (3.70%) C#
4 1 (1.85%) R
Qualifications
1 47 (87.04%) Degree
2 45 (83.33%) DBS Check
2 45 (83.33%) Master's Degree
3 1 (1.85%) DV Cleared
3 1 (1.85%) Numerate Degree
3 1 (1.85%) Security Cleared
Quality Assurance & Compliance
1 1 (1.85%) Data Quality
Systems Management
1 1 (1.85%) Terraform
Vendors
1 47 (87.04%) Databricks
2 2 (3.70%) Google
3 1 (1.85%) Dataiku
3 1 (1.85%) Microsoft