Period
to 6 April 2020

The following table provides summary statistics for permanent job vacancies advertised in England with a requirement for Jupyter skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Jupyter over the 6 months to 6 April 2020 with a comparison to the same period in the previous 2 years.

Jupyter (JupyterHub, JupyterLab)
UK > England
6 months to
6 Apr 2020
Same period 2019 Same period 2018
Rank 841 1032 1145
Rank change year-on-year +191 +113 +5
Permanent jobs citing Jupyter 111 64 23
As % of all permanent jobs advertised in England 0.10% 0.046% 0.014%
As % of the Application Platforms category 0.72% 0.30% 0.083%
Number of salaries quoted 90 57 17
Median annual salary £75,000 £80,000 £70,000
Median salary % change year-on-year -6.25% +14.29% +33.33%
10th Percentile £42,500 £51,250 £49,550
90th Percentile £105,000 £122,500 £77,000
UK median annual salary £75,000 £80,000 £65,000
% change year-on-year -6.25% +23.08% +23.81%

Jupyter is in the Application Platforms category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in England with a requirement for application platform skills.

All Application Platform Skills
England
Permanent vacancies with a requirement for application platform skills 15,392 21,424 27,721
As % of all permanent IT jobs advertised in England 14.27% 15.48% 16.68%
Number of salaries quoted 12,252 17,083 22,959
Median annual salary £52,500 £50,000 £50,000
Median salary % change year-on-year +5.00% - +6.38%
10th Percentile £28,750 £28,380 £27,500
90th Percentile £85,000 £85,000 £80,000
UK median annual salary £50,000 £50,000 £49,500
% change year-on-year - +1.01% +9.35%

Jupyter
Job Vacancy Trend in England

Job postings citing Jupyter as a proportion of all IT jobs advertised in England.

Job vacancy trend for Jupyter in England

Jupyter
Salary Trend in England

3-month moving average salary quoted in jobs citing Jupyter in England.

Salary trend for Jupyter in England

Jupyter
Salary Histogram in England

Salary distribution for jobs citing Jupyter in England over the 6 months to 6 April 2020.

Salary histogram for Jupyter in England

Jupyter
Job Locations in England

The table below looks at the demand and provides a guide to the median salaries quoted in IT jobs citing Jupyter within the England region over the 6 months to 6 April 2020. The 'Rank Change' column provides an indication of the change in demand within each location based on the same 6 month period last year.

Location Rank Change
on Same Period
Last Year
Matching
Permanent
IT Job Ads
Median Salary
Past 6 Months
Median Salary
% Change
on Same Period
Last Year
Live
Job
Vacancies
London +139 92 £82,500 +3.13% 6
South East +66 9 £67,500 - 1
Midlands +57 6 £57,500 +9.52%
West Midlands +54 6 £57,500 +9.52%
North of England - 5 £26,000 -
North West - 5 £26,000 -
East of England +49 2 - -
South West - 2 £51,250 -
Jupyter
UK

For the 6 months to 6 April 2020, IT jobs citing Jupyter also mentioned the following skills in order of popularity. The figures indicate the absolute number co-occurrences and as a proportion of all permanent job ads across the England region with a requirement for Jupyter.

1 109 (98.20%) Python
2 83 (74.77%) Data Science
3 59 (53.15%) Machine Learning
4 49 (44.14%) Analytics
5 40 (36.04%) SQL
6 39 (35.14%) Pandas
7 38 (34.23%) Analytical Skills
7 38 (34.23%) Agile Software Development
8 37 (33.33%) Apache Spark
8 37 (33.33%) NumPy
9 36 (32.43%) Big Data
10 33 (29.73%) Degree
11 32 (28.83%) Visualisation
11 32 (28.83%) Algorithms
12 31 (27.93%) scikit-learn
12 31 (27.93%) Hadoop
13 30 (27.03%) Java
13 30 (27.03%) Problem-Solving
14 29 (26.13%) Data Analysis
14 29 (26.13%) AWS
15 27 (24.32%) Finance
15 27 (24.32%) Data Analytics
16 26 (23.42%) C#
16 26 (23.42%) Statistics
17 24 (21.62%) Front Office
17 24 (21.62%) Predictive Modelling
18 23 (20.72%) R
18 23 (20.72%) Stakeholder Management
18 23 (20.72%) JavaScript
19 22 (19.82%) Computer Science

Jupyter
Co-occurring IT Skills in England by Category

The follow tables expand on the table above by listing co-occurrences grouped by category. The same job type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories:

Application Platforms
1 37 (33.33%) Apache Spark
2 12 (10.81%) Apache Airflow
3 6 (5.41%) IPython
4 4 (3.60%) IIS
5 3 (2.70%) Confluence
6 1 (0.90%) Apache
6 1 (0.90%) Apache Pig
6 1 (0.90%) Elasticsearch
6 1 (0.90%) OpenStack
6 1 (0.90%) SAS
Applications
1 5 (4.50%) S-PLUS
2 4 (3.60%) Microsoft Excel
Business Applications
1 5 (4.50%) SAP CRM
1 5 (4.50%) SAP ERP
1 5 (4.50%) SAP IS-U
2 1 (0.90%) FINCAD Analytics
Cloud Services
1 29 (26.13%) AWS
2 17 (15.32%) Azure
3 13 (11.71%) Cloud Computing
3 13 (11.71%) GCP
4 10 (9.01%) Amazon S3
5 7 (6.31%) Amazon ECS
5 7 (6.31%) Power Platform
6 6 (5.41%) Amazon EMR
7 5 (4.50%) Amazon EKS
8 4 (3.60%) Amazon SageMaker
8 4 (3.60%) AWS Data Pipeline
8 4 (3.60%) Azure Data Factory
8 4 (3.60%) Azure Machine Learning
9 2 (1.80%) GitHub
9 2 (1.80%) Serverless
10 1 (0.90%) Amazon Kinesis
10 1 (0.90%) IaaS
10 1 (0.90%) Joyent
10 1 (0.90%) PaaS
Database & Business Intelligence
1 36 (32.43%) Big Data
2 31 (27.93%) Hadoop
3 15 (13.51%) HBase
4 14 (12.61%) PostgreSQL
5 10 (9.01%) Apache Hive
6 9 (8.11%) BigQuery
6 9 (8.11%) SQL Server
7 8 (7.21%) Data Warehouse
7 8 (7.21%) Impala
8 7 (6.31%) Apache Zeppelin
8 7 (6.31%) Data Mining
8 7 (6.31%) Power BI
9 5 (4.50%) Data Lake
10 4 (3.60%) Amazon DynamoDB
10 4 (3.60%) Amazon Redshift
10 4 (3.60%) Azure SQL Data Warehouse
10 4 (3.60%) Azure SQL Database
10 4 (3.60%) MySQL
10 4 (3.60%) NoSQL
10 4 (3.60%) SQL Server Integration Services
Development Applications
1 18 (16.22%) Git (software)
2 8 (7.21%) Subversion
3 6 (5.41%) JIRA
4 4 (3.60%) Team Foundation Server
5 2 (1.80%) Artifactory
5 2 (1.80%) GitLab
5 2 (1.80%) Jenkins
6 1 (0.90%) PyCharm
General
1 27 (24.32%) Finance
2 24 (21.62%) Front Office
3 12 (10.81%) Marketing
4 8 (7.21%) Retail
5 6 (5.41%) Billing
5 6 (5.41%) Law
6 5 (4.50%) Banking
7 2 (1.80%) Investment Banking
8 1 (0.90%) Games
8 1 (0.90%) Legal
Job Titles
1 39 (35.14%) Data Scientist
2 28 (25.23%) Developer
3 21 (18.92%) Senior Data Scientist
4 15 (13.51%) Data Engineer
4 15 (13.51%) Senior Developer
5 12 (10.81%) Python Developer
6 10 (9.01%) Python Engineer
7 9 (8.11%) Analyst
8 8 (7.21%) Data Analyst
9 7 (6.31%) Front Office Developer
9 7 (6.31%) Machine Learning Scientist
10 6 (5.41%) Analytics Developer
10 6 (5.41%) Architect
10 6 (5.41%) Machine Learning Engineer
10 6 (5.41%) MicroStrategy Developer
10 6 (5.41%) Senior MicroStrategy Developer
11 5 (4.50%) Senior Python Developer
12 4 (3.60%) C# Developer
12 4 (3.60%) Data Consultant
12 4 (3.60%) Principal Architect
Libraries, Frameworks & Software Standards
1 39 (35.14%) Pandas
2 37 (33.33%) NumPy
3 31 (27.93%) scikit-learn
4 17 (15.32%) Natural Language Processing
5 15 (13.51%) Flask
5 15 (13.51%) HTML
5 15 (13.51%) SciPy
6 14 (12.61%) AngularJS
6 14 (12.61%) React
7 13 (11.71%) CSS
8 10 (9.01%) HTML5
9 8 (7.21%) .NET
9 8 (7.21%) Kafka
9 8 (7.21%) REST
10 7 (6.31%) ggplot
10 7 (6.31%) Matplotlib
11 6 (5.41%) PySpark
11 6 (5.41%) Seaborn
12 5 (4.50%) Akka
12 5 (4.50%) Web Services
Miscellaneous
1 38 (34.23%) Analytical Skills
2 32 (28.83%) Algorithms
3 10 (9.01%) Pricing Data
4 7 (6.31%) Analytical Mindset
5 6 (5.41%) Greenfield Project
5 6 (5.41%) Hedge funds
5 6 (5.41%) Social Media
6 5 (4.50%) Fixed Income
7 4 (3.60%) Self-Motivation
8 2 (1.80%) Enterprise Software
8 2 (1.80%) Foreign Exchange (FX)
8 2 (1.80%) PMI
8 2 (1.80%) Smartphone
8 2 (1.80%) User Experience
9 1 (0.90%) Data Centre
9 1 (0.90%) Data Structures
9 1 (0.90%) Linux Command Line
Operating Systems
1 8 (7.21%) Unix
2 3 (2.70%) Linux
Processes & Methodologies
1 83 (74.77%) Data Science
2 59 (53.15%) Machine Learning
3 49 (44.14%) Analytics
4 38 (34.23%) Agile Software Development
5 32 (28.83%) Visualisation
6 30 (27.03%) Problem-Solving
7 29 (26.13%) Data Analysis
8 27 (24.32%) Data Analytics
9 26 (23.42%) Statistics
10 24 (21.62%) Predictive Modelling
11 23 (20.72%) Stakeholder Management
12 22 (19.82%) Computer Science
13 20 (18.02%) Data Modelling
14 19 (17.12%) Business Intelligence
14 19 (17.12%) OO
15 18 (16.22%) Data Visualisation
15 18 (16.22%) Mathematics
16 17 (15.32%) Deep Learning
17 15 (13.51%) Artificial Intelligence
18 14 (12.61%) ETL
Programming Languages
1 109 (98.20%) Python
2 40 (36.04%) SQL
3 30 (27.03%) Java
4 26 (23.42%) C#
5 23 (20.72%) JavaScript
5 23 (20.72%) R
6 17 (15.32%) C++
7 15 (13.51%) Scala
8 10 (9.01%) C
9 7 (6.31%) MATLAB
10 5 (4.50%) Go
11 4 (3.60%) Haskell
12 2 (1.80%) Bash Shell
13 1 (0.90%) Cython
13 1 (0.90%) Kotlin
13 1 (0.90%) Shell Script
Qualifications
1 33 (29.73%) Degree
2 10 (9.01%) PhD
3 6 (5.41%) Computer Science Degree
4 5 (4.50%) Numerate Degree
5 2 (1.80%) AWS Certification
5 2 (1.80%) PMI Certification
Quality Assurance & Compliance
1 2 (1.80%) QA
System Software
1 13 (11.71%) Docker
2 2 (1.80%) HDFS
Systems Management
1 12 (10.81%) Kubernetes
2 9 (8.11%) Terraform
3 3 (2.70%) Kibana
3 3 (2.70%) Oozie
4 2 (1.80%) Hadoop YARN
Vendors
1 12 (10.81%) EXASOL
1 12 (10.81%) MicroStrategy
2 9 (8.11%) Tableau
3 6 (5.41%) Oracle
4 5 (4.50%) SAP
5 4 (3.60%) Alteryx
5 4 (3.60%) Google
5 4 (3.60%) Informatica
5 4 (3.60%) Talend
6 3 (2.70%) Cloudera
6 3 (2.70%) Microsoft
7 2 (1.80%) Alias
7 2 (1.80%) Sybase
8 1 (0.90%) BT
8 1 (0.90%) Databricks
8 1 (0.90%) Teradata