Hybrid/Remote Pandas Job Trends

Pandas
UK > Work from Home

The table below provides summary statistics and salary benchmarking for remote or hybrid work requiring Pandas skills. It covers permanent job vacancies from the 6 months leading up to 15 September 2026, with comparisons to the same periods in the previous two years.

6 months to
15 Sep 2026
Same period 2025 Same period 2024
Rank 419 189 114
Rank change year-on-year -230 -75 +306
Permanent jobs citing Pandas 36 268 649
As % of all permanent jobs with remote/hybrid work options 0.15% 1.66% 2.80%
As % of the Libraries, Frameworks & Software Standards category 0.81% 6.98% 9.69%
Number of salaries quoted 30 214 591
10th Percentile £42,500 £58,125 £85,000
25th Percentile £53,000 £100,000 £97,500
Median annual salary (50th Percentile) £67,500 £120,000 £135,000
Median % change year-on-year -43.75% -11.11% +58.82%
75th Percentile £90,313 £137,500 £148,750
90th Percentile £113,750 - £165,000
UK median annual salary £65,000 £110,000 £115,000
% change year-on-year -40.91% -4.35% +53.33%

All Software Libraries and Frameworks
Work from Home

Pandas falls under the Software Libraries and Frameworks category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies with remote or hybrid options requiring technical specification, industry standards, software libraries and framework skills.

Permanent vacancies with a requirement for technical specification, industry standards, software libraries and framework skills 4,459 3,841 6,695
As % of all permanent jobs with a WFH option 18.60% 23.73% 28.88%
Number of salaries quoted 3,300 2,553 4,843
10th Percentile £42,500 £39,500 £40,000
25th Percentile £50,000 £51,750 £48,750
Median annual salary (50th Percentile) £65,000 £67,500 £65,000
Median % change year-on-year -3.70% +3.85% -3.70%
75th Percentile £87,500 £87,500 £87,500
90th Percentile £100,000 £118,750 £122,500
UK median annual salary £67,500 £69,750 £65,000
% change year-on-year -3.23% +7.31% -3.70%

Pandas
Job Vacancy Trend for Remote/Hybrid Jobs

Historical trend showing the proportion of permanent IT job postings citing Pandas and offering remote or hybrid work options relative to all permanent IT jobs advertised.

Pandas job vacancy trend for remote/hybrid jobs

Pandas
Salary Trend for Remote/Hybrid Jobs

Salary distribution trend for jobs with remote/hybrid work options citing Pandas.

Salary distribution trend for jobs with remote/hybrid work options citing Pandas

Pandas
Salary Histogram for Remote/Hybrid Jobs

Salary distribution for jobs with remote/hybrid work options citing Pandas over the 6 months to 15 September 2026.

Pandas salary histogram for jobs with remote/hybrid work options

Pandas
Co-Occurring Skills & Capabilities in Remote/Hybrid Jobs 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:

Application Platforms
1 3 (8.33%) Apache Spark
2 2 (5.56%) Apache
3 1 (2.78%) Apache Airflow
3 1 (2.78%) Apache Superset
3 1 (2.78%) Jupyter
3 1 (2.78%) SharePoint
Applications
1 4 (11.11%) Microsoft Excel
2 2 (5.56%) Chatbot
2 2 (5.56%) Spreadsheet
3 1 (2.78%) MS Visio
3 1 (2.78%) Trello
Cloud Services
1 13 (36.11%) Azure
2 10 (27.78%) AWS
3 7 (19.44%) Power Platform
4 6 (16.67%) Microsoft 365
4 6 (16.67%) Serverless
5 5 (13.89%) AWS Lambda
5 5 (13.89%) SaaS
6 4 (11.11%) Amazon S3
7 3 (8.33%) Amazon SageMaker
7 3 (8.33%) GCP
7 3 (8.33%) Snowflake
8 2 (5.56%) Amazon Cognito
8 2 (5.56%) AWS Fargate
8 2 (5.56%) Azure AI
8 2 (5.56%) GitHub
8 2 (5.56%) Power Automate
9 1 (2.78%) Amazon CloudWatch
9 1 (2.78%) Amazon SQS
9 1 (2.78%) AWS Step Functions
9 1 (2.78%) Azure Functions
Database & Business Intelligence
1 11 (30.56%) Data Warehouse
2 6 (16.67%) Power BI
2 6 (16.67%) Star Schema
3 4 (11.11%) Power Query
4 3 (8.33%) Amazon Athena
4 3 (8.33%) PostgreSQL
5 2 (5.56%) Big Data
5 2 (5.56%) DuckDB
5 2 (5.56%) Metadata
6 1 (2.78%) Amazon Redshift
6 1 (2.78%) Data Lake
6 1 (2.78%) DynamoDB
6 1 (2.78%) Metabase
6 1 (2.78%) MongoDB
6 1 (2.78%) OLAP Cube
6 1 (2.78%) OLTP
6 1 (2.78%) Pinecone
6 1 (2.78%) Semantic Layer
6 1 (2.78%) SQL Server
6 1 (2.78%) SQLPlus
Development Applications
1 16 (44.44%) Git
2 4 (11.11%) MLflow
3 1 (2.78%) JIRA
3 1 (2.78%) NUnit
General
1 14 (38.89%) Finance
2 13 (36.11%) Analytical Skills
3 11 (30.56%) Social Skills
4 6 (16.67%) Banking
5 5 (13.89%) Retail Banking
6 2 (5.56%) Documentation Skills
6 2 (5.56%) Front Office
6 2 (5.56%) Law
7 1 (2.78%) Influencing Skills
7 1 (2.78%) Manufacturing
7 1 (2.78%) Marketing
7 1 (2.78%) Pharmaceutical
Job Titles
1 16 (44.44%) Data Scientist
2 13 (36.11%) Lead
3 11 (30.56%) Senior Data Scientist
4 9 (25.00%) Lead Data Scientist
5 5 (13.89%) Data Manager
5 5 (13.89%) Senior
6 4 (11.11%) Analyst
6 4 (11.11%) Data Analyst
6 4 (11.11%) Data Engineer
6 4 (11.11%) Databricks Engineer
6 4 (11.11%) Developer
7 3 (8.33%) Python Engineer
8 2 (5.56%) AWS Engineer
8 2 (5.56%) Data Modeller
8 2 (5.56%) Databricks Data Engineer
9 1 (2.78%) Front-End Developer (Client-Side Developer)
9 1 (2.78%) Python Developer
9 1 (2.78%) Python Software Engineer
9 1 (2.78%) SQL Data Analyst
9 1 (2.78%) Technical Leader
Libraries, Frameworks & Software Standards
1 24 (66.67%) NumPy
2 17 (47.22%) scikit-learn
3 7 (19.44%) XGBoost
4 6 (16.67%) REST
4 6 (16.67%) SciPy
5 4 (11.11%) Matplotlib
5 4 (11.11%) PyTorch
6 3 (8.33%) Keras
6 3 (8.33%) PySpark
6 3 (8.33%) TensorFlow
6 3 (8.33%) Terraform
7 2 (5.56%) pytest
7 2 (5.56%) React
7 2 (5.56%) Seaborn
8 1 (2.78%) CSS
8 1 (2.78%) D3.js
8 1 (2.78%) Flask
8 1 (2.78%) HTML
8 1 (2.78%) OpenCV
8 1 (2.78%) PostGIS
Miscellaneous
1 6 (16.67%) Credit Risk
2 4 (11.11%) Cloud Native
3 3 (8.33%) AI Agents
4 2 (5.56%) Product Ownership
5 1 (2.78%) Algorithms
5 1 (2.78%) Client/Server
5 1 (2.78%) Clustering
5 1 (2.78%) Data Structures
5 1 (2.78%) Enterprise Software
5 1 (2.78%) Foreign Exchange (FX)
5 1 (2.78%) Hackathon
5 1 (2.78%) Hedge funds
5 1 (2.78%) Life Science
5 1 (2.78%) Reinsurance
5 1 (2.78%) Social Media
Operating Systems
1 2 (5.56%) Linux
Processes & Methodologies
1 25 (69.44%) Data Science
2 21 (58.33%) AI
3 16 (44.44%) Analytics
4 13 (36.11%) Machine Learning
5 11 (30.56%) Business Intelligence
5 11 (30.56%) Data Analysis
5 11 (30.56%) Data Modelling
5 11 (30.56%) Data Pipeline
5 11 (30.56%) ETL
5 11 (30.56%) Problem-Solving
6 10 (27.78%) CI/CD
6 10 (27.78%) Feature Engineering
7 9 (25.00%) Data Engineering
7 9 (25.00%) Decision-Making
7 9 (25.00%) Mentoring
7 9 (25.00%) Use Case
8 8 (22.22%) Prompt Engineering
8 8 (22.22%) Retrieval-Augmented Generation
9 7 (19.44%) LLM
9 7 (19.44%) MLOps
Programming Languages
1 36 (100.00%) Python
2 23 (63.89%) SQL
3 5 (13.89%) PowerShell
4 4 (11.11%) Data Analysis Expressions
5 3 (8.33%) JavaScript
6 2 (5.56%) TypeScript
6 2 (5.56%) VBA
7 1 (2.78%) Bash
7 1 (2.78%) C
7 1 (2.78%) C#
7 1 (2.78%) C++
7 1 (2.78%) Java
7 1 (2.78%) R
Qualifications
1 10 (27.78%) Degree
2 4 (11.11%) Azure Certification
3 3 (8.33%) Master's Degree
4 1 (2.78%) Computer Science Degree
4 1 (2.78%) PhD
4 1 (2.78%) PMP
Quality Assurance & Compliance
1 8 (22.22%) Data Quality
2 5 (13.89%) EU AI Act
2 5 (13.89%) GDPR
3 1 (2.78%) QA
System Software
1 4 (11.11%) Docker
Systems Management
1 1 (2.78%) Kubernetes
Vendors
1 12 (33.33%) Databricks
2 7 (19.44%) Microsoft
3 3 (8.33%) OpenAI
4 1 (2.78%) Cognizant
4 1 (2.78%) Google
4 1 (2.78%) Trend Micro