Freelance Analyst Programmer – UAT & Optimisation Focus
Location:
Central London, Greater London, South East, England
Salary:
£400 per day, Benefits: Extendable + Potential contract to permanent
Job Type:
Contract
Date Posted:
6 days ago
Expiry Date:
20/09/2025
Job Ref:
BH-122552
Start Date:
06/08/2025
Contact:
Sergio Osman
Contact Email:
sergio.osman@xcede.com
Specialism:
DataCommercial & SupportQA & TestingProject & Programme ManagementEngland
Freelance Analyst Programmer – UAT & Optimisation Focus
Location: Central London - Onsite
Rate: Circa £400 per day (PAYE)
Start Date: 1st September
Contract Length: 6 months (Potential transfer to permanent)
The Role
We're working with a large multinational organisation currently scaling its internal fleet planning and scheduling capabilities across Europe. They are looking for a freelance Programmer/Analyst to support the development and testing of a new optimisation model designed to automate complex vehicle allocation processes.
This is a high-impact role for someone who enjoys bridging technical development with real-world operations and can take ownership of testing, analysing, and embedding scientific models into business tools.
The Team & Project
The central planning team is responsible for weekly fleet allocation across a large European logistics network — ensuring the right number of vehicles are assigned to delivery operations. The team is building automation tools and scientific models to eliminate manual processes and streamline end-to-end scheduling workflows.
You’ll work alongside a senior stakeholder based in London who’s leading the development of the automation roadmap.
Key Responsibilities
Location: Central London - Onsite
Rate: Circa £400 per day (PAYE)
Start Date: 1st September
Contract Length: 6 months (Potential transfer to permanent)
The Role
We're working with a large multinational organisation currently scaling its internal fleet planning and scheduling capabilities across Europe. They are looking for a freelance Programmer/Analyst to support the development and testing of a new optimisation model designed to automate complex vehicle allocation processes.
This is a high-impact role for someone who enjoys bridging technical development with real-world operations and can take ownership of testing, analysing, and embedding scientific models into business tools.
The Team & Project
The central planning team is responsible for weekly fleet allocation across a large European logistics network — ensuring the right number of vehicles are assigned to delivery operations. The team is building automation tools and scientific models to eliminate manual processes and streamline end-to-end scheduling workflows.
You’ll work alongside a senior stakeholder based in London who’s leading the development of the automation roadmap.
Key Responsibilities
- Design, execute, and analyse User Acceptance Testing (UAT) scenarios to validate the optimisation model
- Work with real operational datasets to ensure the model delivers accurate outputs
- Assist in the integration of the model into internal scheduling and planning tools
- Collaborate with stakeholders, including a Senior Fleet Planning Manager, to support the automation roadmap
- Provide data-driven insights and recommendations to support successful deployment
- Strong proficiency in Microsoft Excel (data manipulation, formulas, pivot tables)
- Ability to work with complex datasets; SQL experience is a strong plus
- Experience working on UAT testing for technical or data-led systems
- Comfortable interpreting and acting on ambiguous business and technical requirements
- Proven ability to work independently and deliver under minimal supervision
- Exposure to fleet/logistics/supply chain environments
- Clear communication skills and experience working closely with stakeholders
- High visibility project with real-world operational impact
- Blend of technical challenge and business collaboration
- Opportunity to work on automation and data science in a logistics context
- Onsite engagement within a high-performing team in central London
APPLY FOR THIS JOB
For your job application, please fill in the form below.
Sergio Osman
Specialisms: Data, Data Science, Digital & Product Analytics, Marketing & Insight Analytics, Data Engineering, Business Intelligence, Credit Risk & Analytics