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Data Science Consultant - Logistics
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Science Consultant - Logistics for a 3-6 month contract in London, offering competitive pay. Key skills include advanced Python/R, SQL, logistics experience, and stakeholder management. Experience with data visualisation tools and machine learning is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
June 11, 2026
🕒 - Duration
3 to 6 months
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🏝️ - Location
On-site
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
Greater London, England, United Kingdom
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🧠 - Skills detailed
#Datasets #Consulting #ML (Machine Learning) #Forecasting #Tableau #Requirements Gathering #"ETL (Extract #Transform #Load)" #Python #Cloud #Azure #AWS (Amazon Web Services) #Data Extraction #Microsoft Power BI #SQL (Structured Query Language) #Telematics #BI (Business Intelligence) #GCP (Google Cloud Platform) #R #IoT (Internet of Things) #Qlik #Data Science
Role description
Job Title: Data Science Consultant – Logistics
Location: London, England, UK
Contract Type: 3 - 6 month contract
About the Role We are seeking an experienced Data Science Consultant with a strong logistics and supply chain background to support Advanced Management Solutions (AMS) initiatives. This is a hands-on, client-facing role focused on identifying operational improvement opportunities and delivering data-driven solutions that create measurable business value.
Key Responsibilities
• Engage with logistics, operations, and management teams to understand business challenges and objectives.
• Analyse supply chain processes including transport, warehousing, inventory, fulfilment, and network operations.
• Translate business requirements into analytical use cases and project plans.
• Identify, quantify, and prioritise improvement opportunities based on business impact.
• Analyse and model data from sources such as WMS, TMS, ERP, telematics, and shipment data.
• Develop forecasting, optimisation, performance analytics, and machine learning solutions.
• Create dashboards, reports, and KPIs to measure performance and outcomes.
• Present insights and recommendations to technical and non-technical stakeholders.
• Support pilots, proof-of-concepts, implementation, and change adoption activities.
Required Experience & Skills
• Proven experience in Data Science, Advanced Analytics, or a similar consulting-focused role.
• Strong logistics/supply chain experience (transport, warehousing, 3PL, retail logistics, fulfilment, or network optimisation).
• Demonstrated stakeholder management, requirements gathering, and workshop facilitation skills.
• Advanced Python and/or R skills.
• Strong SQL for data extraction and analysis.
• Experience with Power BI, Tableau, Qlik, or similar visualisation tools.
• Knowledge of statistical modelling, forecasting, optimisation, and machine learning techniques.
• Excellent communication skills with the ability to translate complex analysis into business-focused recommendations.
• Strong commercial awareness and ability to articulate business value.
Nice to Have
• Experience with optimisation tools such as OR-Tools, Gurobi, or CPLEX.
• Exposure to large-scale logistics datasets, telematics, IoT, or route optimisation.
• Experience with Azure, AWS, GCP, or modern cloud data platforms.
• Previous consulting experience within logistics, supply chain, or operations-focused environments.
Job Title: Data Science Consultant – Logistics
Location: London, England, UK
Contract Type: 3 - 6 month contract
About the Role We are seeking an experienced Data Science Consultant with a strong logistics and supply chain background to support Advanced Management Solutions (AMS) initiatives. This is a hands-on, client-facing role focused on identifying operational improvement opportunities and delivering data-driven solutions that create measurable business value.
Key Responsibilities
• Engage with logistics, operations, and management teams to understand business challenges and objectives.
• Analyse supply chain processes including transport, warehousing, inventory, fulfilment, and network operations.
• Translate business requirements into analytical use cases and project plans.
• Identify, quantify, and prioritise improvement opportunities based on business impact.
• Analyse and model data from sources such as WMS, TMS, ERP, telematics, and shipment data.
• Develop forecasting, optimisation, performance analytics, and machine learning solutions.
• Create dashboards, reports, and KPIs to measure performance and outcomes.
• Present insights and recommendations to technical and non-technical stakeholders.
• Support pilots, proof-of-concepts, implementation, and change adoption activities.
Required Experience & Skills
• Proven experience in Data Science, Advanced Analytics, or a similar consulting-focused role.
• Strong logistics/supply chain experience (transport, warehousing, 3PL, retail logistics, fulfilment, or network optimisation).
• Demonstrated stakeholder management, requirements gathering, and workshop facilitation skills.
• Advanced Python and/or R skills.
• Strong SQL for data extraction and analysis.
• Experience with Power BI, Tableau, Qlik, or similar visualisation tools.
• Knowledge of statistical modelling, forecasting, optimisation, and machine learning techniques.
• Excellent communication skills with the ability to translate complex analysis into business-focused recommendations.
• Strong commercial awareness and ability to articulate business value.
Nice to Have
• Experience with optimisation tools such as OR-Tools, Gurobi, or CPLEX.
• Exposure to large-scale logistics datasets, telematics, IoT, or route optimisation.
• Experience with Azure, AWS, GCP, or modern cloud data platforms.
• Previous consulting experience within logistics, supply chain, or operations-focused environments.
