Time Series Forecasting Job Trends in Slough

Time Series Forecasting
Berkshire > Slough

The table below provides summary statistics and salary benchmarking for jobs advertised in Slough requiring Time Series Forecasting skills. It covers permanent job vacancies from the 6 months leading up to 8 August 2026, with comparisons to the same periods in the previous two years.

6 months to
8 Aug 2026
Same period 2025 Same period 2024
Rank 37 - -
Rank change year-on-year - - -
Permanent jobs citing Time Series Forecasting 2 0 0
As % of all permanent jobs in Slough 0.45% - -
As % of the Processes & Methodologies category 0.69% - -
Number of salaries quoted 2 0 0
10th Percentile £73,000 - -
25th Percentile £77,500 - -
Median annual salary (50th Percentile) £85,000 - -
75th Percentile £92,500 - -
90th Percentile £97,000 - -
Berkshire median annual salary £85,000 - -

All Process & Methodology Skills
Slough

Time Series Forecasting falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring process or methodology skills in Slough.

Permanent vacancies with a requirement for process or methodology skills 288 329 79
As % of all permanent jobs advertised in Slough 65.45% 91.14% 91.86%
Number of salaries quoted 202 83 61
10th Percentile £28,425 £36,500 £29,000
25th Percentile £40,313 £41,250 £40,000
Median annual salary (50th Percentile) £51,250 £65,000 £65,000
Median % change year-on-year -21.15% - +13.04%
75th Percentile £60,000 £72,500 £71,250
90th Percentile £75,000 £75,000 £82,500
Berkshire median annual salary £55,000 £50,000 £57,500
% change year-on-year +10.00% -13.04% +3.76%

Time Series Forecasting
Salary Histogram in Slough

Salary distribution for jobs citing Time Series Forecasting in Slough over the 6 months to 8 August 2026.

Salary histogram for Time Series Forecasting in Slough

Time Series Forecasting
Co-Occurring Skills & Capabilities in Slough 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:

Cloud Services
1 2 (100.00%) Azure
1 2 (100.00%) Azure Machine Learning
2 1 (50.00%) GitHub
2 1 (50.00%) GitHub Actions
Development Applications
1 1 (50.00%) Git
1 1 (50.00%) MLflow
General
1 1 (50.00%) Analytical Skills
1 1 (50.00%) Marketing
1 1 (50.00%) Retail
1 1 (50.00%) Telecoms
Job Titles
1 2 (100.00%) Data Scientist
1 2 (100.00%) Senior
1 2 (100.00%) Senior Data Scientist
Libraries, Frameworks & Software Standards
1 2 (100.00%) PySpark
2 1 (50.00%) PyTorch
Processes & Methodologies
1 2 (100.00%) AI
1 2 (100.00%) Analytics
1 2 (100.00%) Data Science
1 2 (100.00%) Machine Learning
1 2 (100.00%) Predictive Analytics
1 2 (100.00%) Propensity Modelling
1 2 (100.00%) Statistics
2 1 (50.00%) A/B Testing
2 1 (50.00%) Analytical Modelling
2 1 (50.00%) Backtesting
2 1 (50.00%) CI/CD
2 1 (50.00%) Commercial Awareness
2 1 (50.00%) Data Pipeline
2 1 (50.00%) Decision Intelligence
2 1 (50.00%) Decision-Making
2 1 (50.00%) Experimental Design
2 1 (50.00%) Feature Engineering
2 1 (50.00%) MLOps
2 1 (50.00%) Model Validation
2 1 (50.00%) Personalization
Programming Languages
1 2 (100.00%) Python
1 2 (100.00%) SQL
Vendors
1 2 (100.00%) Databricks
2 1 (50.00%) Microsoft