Job Vacancy Trend Salary Trend Salary Histogram Job Locations Skill Sets
Period
to 10 August 2020

The following table provides summary statistics for permanent job vacancies advertised in London with a requirement for NumPy skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited NumPy over the 6 months to 10 August 2020 with a comparison to the same period in the previous 2 years.

NumPy
England > London
6 months to
10 Aug 2020		 Same period 2019 Same period 2018
Rank 367 495 538
Rank change year-on-year +128 +43 +176
Permanent jobs citing NumPy 172 265 316
As % of all permanent jobs advertised in London 0.65% 0.47% 0.45%
As % of the Libraries, Frameworks & Software Standards category 1.51% 1.19% 1.12%
Number of salaries quoted 152 216 287
Median annual salary £72,500 £68,300 £75,000
Median salary % change year-on-year +6.15% -8.93% -3.23%
10th Percentile £43,875 £38,750 £45,000
90th Percentile £109,625 £120,625 £115,000
England median annual salary £72,500 £62,500 £70,000
% change year-on-year +16.00% -10.71% -

NumPy 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 London with a requirement for technical specification, industry standards, software libraries and framework skills.

All Software Libraries and Frameworks
London
Permanent vacancies with a requirement for technical specification, industry standards, software libraries and framework skills 11,402 22,315 28,303
As % of all permanent IT jobs advertised in London 42.88% 39.25% 40.42%
Number of salaries quoted 9,414 18,690 23,160
Median annual salary £70,000 £67,500 £62,500
Median salary % change year-on-year +3.70% +8.00% +4.17%
10th Percentile £45,000 £40,000 £37,500
90th Percentile £108,750 £100,000 £93,750
England median annual salary £57,500 £55,000 £50,000
% change year-on-year +4.55% +10.00% +5.26%

NumPy
Job Vacancy Trend in London

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

Job vacancy trend for NumPy in London

NumPy
Salary Trend in London

3-month moving average salary quoted in jobs citing NumPy in London.

Salary trend for NumPy in London

NumPy
Salary Histogram in London

Salary distribution for jobs citing NumPy in London over the 6 months to 10 August 2020.

Salary histogram for NumPy in London

NumPy
Job Locations in London

The table below looks at the demand and provides a guide to the median salaries quoted in IT jobs citing NumPy within the London region over the 6 months to 10 August 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
Central London +110 40 £70,000 -6.67% 5
West London +56 5 £77,500 -11.43%
NumPy
England

For the 6 months to 10 August 2020, IT jobs citing NumPy 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 London region with a requirement for NumPy.

1 169 (98.26%) Python
2 147 (85.47%) Pandas
3 82 (47.67%) SciPy
4 79 (45.93%) Data Science
5 77 (44.77%) Machine Learning
6 70 (40.70%) Finance
7 58 (33.72%) AWS
8 57 (33.14%) SQL
9 54 (31.40%) Analytics
10 53 (30.81%) Algorithms
11 52 (30.23%) scikit-learn
12 47 (27.33%) Java
13 44 (25.58%) Computer Science
14 43 (25.00%) Degree
15 42 (24.42%) Big Data
16 41 (23.84%) Statistics
16 41 (23.84%) Artificial Intelligence
17 35 (20.35%) Agile Software Development
18 32 (18.60%) TensorFlow
19 31 (18.02%) Apache Spark
19 31 (18.02%) Azure
20 30 (17.44%) Flask
20 30 (17.44%) JavaScript
21 29 (16.86%) Front Office
22 28 (16.28%) Docker
22 28 (16.28%) React
23 27 (15.70%) Jupyter
23 27 (15.70%) GCP
23 27 (15.70%) Analytical Skills
23 27 (15.70%) Hadoop

NumPy
Co-occurring IT Skills in London 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 31 (18.02%) Apache Spark
2 27 (15.70%) Jupyter
3 15 (8.72%) Apache Airflow
4 8 (4.65%) Apache
5 7 (4.07%) SAS
6 2 (1.16%) Luigi
6 2 (1.16%) Tornado
7 1 (0.58%) Apache Pig
7 1 (0.58%) IBM Domino
Applications
1 6 (3.49%) Microsoft Excel
2 4 (2.33%) Chatbot
Cloud Services
1 58 (33.72%) AWS
2 31 (18.02%) Azure
3 27 (15.70%) GCP
4 13 (7.56%) Amazon S3
5 9 (5.23%) Power Platform
6 7 (4.07%) Cloud Computing
7 6 (3.49%) Amazon EMR
7 6 (3.49%) Amazon SageMaker
8 5 (2.91%) Amazon ECS
8 5 (2.91%) AWS Data Pipeline
9 4 (2.33%) Amazon EC2
10 3 (1.74%) Amazon EKS
10 3 (1.74%) Amazon SQS
10 3 (1.74%) OpenShift
11 2 (1.16%) AWS Elastic Beanstalk
11 2 (1.16%) AWS Lambda
11 2 (1.16%) GitHub
11 2 (1.16%) Serverless
11 2 (1.16%) Virtual Private Cloud
12 1 (0.58%) Amazon Kinesis
Communications & Networking
1 5 (2.91%) 5G
2 2 (1.16%) HTTP
Database & Business Intelligence
1 42 (24.42%) Big Data
2 27 (15.70%) Hadoop
3 19 (11.05%) PostgreSQL
4 16 (9.30%) NoSQL
5 13 (7.56%) HBase
6 10 (5.81%) Impala
6 10 (5.81%) Relational Database
7 9 (5.23%) Power BI
8 8 (4.65%) Amazon Redshift
8 8 (4.65%) SQL Server
9 7 (4.07%) Apache Hive
9 7 (4.07%) KDB
9 7 (4.07%) RDBMS
10 6 (3.49%) Redis
11 5 (2.91%) Data Mining
11 5 (2.91%) MongoDB
12 4 (2.33%) Amazon DynamoDB
13 2 (1.16%) Amazon RDS
13 2 (1.16%) Data Lake
13 2 (1.16%) Neo4j
Development Applications
1 17 (9.88%) Git (software)
2 3 (1.74%) CircleCI
2 3 (1.74%) gulp
2 3 (1.74%) Jenkins
2 3 (1.74%) webpack
3 2 (1.16%) MLflow
3 2 (1.16%) Redmine
4 1 (0.58%) GoCD
4 1 (0.58%) JIRA
General
1 70 (40.70%) Finance
2 29 (16.86%) Front Office
3 11 (6.40%) Banking
4 9 (5.23%) Marketing
5 8 (4.65%) Retail
6 6 (3.49%) Manufacturing
6 6 (3.49%) Telecoms
7 4 (2.33%) Investment Banking
8 3 (1.74%) Advertising
8 3 (1.74%) Games
9 2 (1.16%) Billing
9 2 (1.16%) Military
Job Titles
1 71 (41.28%) Developer
2 66 (38.37%) Python Developer
3 32 (18.60%) Python Engineer
4 30 (17.44%) Data Engineer
4 30 (17.44%) Data Scientist
5 24 (13.95%) Senior Developer
5 24 (13.95%) Senior Python Developer
6 12 (6.98%) AWS Developer
6 12 (6.98%) Senior Data Scientist
7 9 (5.23%) Front Office Developer
8 8 (4.65%) Django Developer
8 8 (4.65%) Python/Django Developer
8 8 (4.65%) Quantitative Researcher
9 7 (4.07%) Full Stack Developer
9 7 (4.07%) Quantitative Developer
9 7 (4.07%) Senior Manager
10 6 (3.49%) AWS Engineer
10 6 (3.49%) Senior Data Engineer
11 5 (2.91%) Analytics Developer
11 5 (2.91%) Software Engineer
Libraries, Frameworks & Software Standards
1 147 (85.47%) Pandas
2 82 (47.67%) SciPy
3 52 (30.23%) scikit-learn
4 32 (18.60%) TensorFlow
5 30 (17.44%) Flask
6 28 (16.28%) React
7 26 (15.12%) Natural Language Processing
8 23 (13.37%) AngularJS
9 22 (12.79%) Keras
10 20 (11.63%) Django
11 17 (9.88%) PyTorch
12 16 (9.30%) Matplotlib
13 14 (8.14%) REST
14 13 (7.56%) Web Services
14 13 (7.56%) XGBoost
15 12 (6.98%) PySpark
15 12 (6.98%) SpaCy
16 7 (4.07%) Kafka
17 6 (3.49%) Backbone.js
17 6 (3.49%) Esper
Miscellaneous
1 53 (30.81%) Algorithms
2 27 (15.70%) Analytical Skills
3 25 (14.53%) Data Structures
4 24 (13.95%) Hedge funds
5 8 (4.65%) Pricing Data
6 7 (4.07%) User Experience
7 6 (3.49%) Greenfield Project
8 5 (2.91%) Fixed Income
8 5 (2.91%) FMCG
9 4 (2.33%) Cloud Native
9 4 (2.33%) Derivative
9 4 (2.33%) Foreign Exchange (FX)
10 3 (1.74%) Private Cloud
10 3 (1.74%) Self-Motivation
11 2 (1.16%) Credit Risk
11 2 (1.16%) Equities
11 2 (1.16%) Grid Computing
11 2 (1.16%) Market Risk
11 2 (1.16%) N-Tier
11 2 (1.16%) Social Media
Operating Systems
1 23 (13.37%) Linux
Processes & Methodologies
1 79 (45.93%) Data Science
2 77 (44.77%) Machine Learning
3 54 (31.40%) Analytics
4 44 (25.58%) Computer Science
5 41 (23.84%) Artificial Intelligence
5 41 (23.84%) Statistics
6 35 (20.35%) Agile Software Development
7 26 (15.12%) Data Analysis
8 25 (14.53%) Software Engineering
8 25 (14.53%) Visualisation
9 23 (13.37%) Decision-Making
10 22 (12.79%) Deep Learning
10 22 (12.79%) OO
11 20 (11.63%) ETL
11 20 (11.63%) Mathematics
11 20 (11.63%) Problem-Solving
11 20 (11.63%) TDD
12 19 (11.05%) Asset Management
13 18 (10.47%) DevOps
13 18 (10.47%) Test Automation
Programming Languages
1 169 (98.26%) Python
2 57 (33.14%) SQL
3 47 (27.33%) Java
4 30 (17.44%) JavaScript
5 26 (15.12%) R
6 17 (9.88%) C#
6 17 (9.88%) C++
7 15 (8.72%) Scala
8 10 (5.81%) C
9 9 (5.23%) Julia
10 8 (4.65%) MATLAB
11 4 (2.33%) Rust
12 3 (1.74%) Go
12 3 (1.74%) VBA
13 1 (0.58%) Bash Shell
13 1 (0.58%) Cython
Qualifications
1 43 (25.00%) Degree
2 19 (11.05%) Computer Science Degree
3 13 (7.56%) PhD
4 4 (2.33%) Master's Degree
5 1 (0.58%) Numerate Degree
Quality Assurance & Compliance
1 5 (2.91%) Data Quality
2 2 (1.16%) IEC 62304
3 1 (0.58%) Dodd-Frank
3 1 (0.58%) EMIR
3 1 (0.58%) MiFID
System Software
1 28 (16.28%) Docker
2 1 (0.58%) Apache ZooKeeper
2 1 (0.58%) HDFS
Systems Management
1 22 (12.79%) Kubernetes
2 4 (2.33%) Ansible
3 3 (1.74%) Terraform
Vendors
1 10 (5.81%) Databricks
2 9 (5.23%) Microsoft
3 7 (4.07%) Tableau
4 5 (2.91%) Oracle
5 4 (2.33%) Cloudera
6 3 (1.74%) Yahoo!
7 2 (1.16%) Google
8 1 (0.58%) Cognizant
8 1 (0.58%) Facebook
8 1 (0.58%) Instagram
8 1 (0.58%) MapR
8 1 (0.58%) Snapchat
8 1 (0.58%) Sybase
8 1 (0.58%) Twitter