Data Science Consultant - Logistics
Posted 2 weeks ago by Trust In Soda
Negotiable
Undetermined
Undetermined
Greater London, UK
Summary: The Data Science Consultant - Logistics role is designed for an experienced professional with a strong background in logistics and supply chain management. The consultant will engage with various teams to identify operational improvements and deliver data-driven solutions that enhance business value. This hands-on, client-facing position requires a blend of analytical skills and stakeholder management. The role is contracted for a duration of 3 to 6 months based in London, England.
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.
Key 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.
Salary (Rate): undetermined
City: London
Country: UK
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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.
