Data Science Consultant - Logistics & GenAI
We're seeking an experienced Data Science Consultant with a strong background in Logistics/Supply Chain and Generative AI to support high-impact client projects.
This is a client-facing role where you'll work with business stakeholders and operations teams to identify, shape, and deliver data-driven and GenAI solutions that improve logistics performance.
Key Responsibilities
. Engage stakeholders to understand logistics processes, challenges, and opportunities.
. Identify and develop data science and GenAI use cases focused on optimisation, forecasting, automation, and decision support.
. Analyse operational datasets and build machine learning models.
. Design and prototype GenAI solutions using LLMs, prompt engineering, and RAG techniques.
. Lead workshops, presentations, PoCs, and pilot initiatives.
. Translate complex analytics into actionable business recommendations.
Required Experience
. Proven experience in a client-facing Data Science or Analytics Consulting role.
. Strong Python, SQL, and machine learning expertise.
. Hands-on experience with GenAI/LLMs (OpenAI, Azure OpenAI, Anthropic, etc.).
. Experience building LLM prototypes, prompt engineering, and RAG solutions.
. Strong stakeholder engagement and communication skills.
Logistics Experience (Essential)
Candidates must have experience within logistics, supply chain, transportation, warehousing, fleet operations, parcel delivery, or similar environments, with knowledge of route planning, capacity utilisation, service levels, and operational KPIs.
Nice to Have
. Azure, AWS, or GCP experience.
. Optimisation/routing tools and operations research exposure.
. Power BI, Tableau, or Looker.
. Large-scale logistics or E-commerce fulfilment experience.
Profile
. Based in or able to regularly work in Birmingham (preferred) or London.
. Comfortable working autonomously in fast-paced environments.
. Strong consulting mindset with the ability to influence stakeholders at all levels.
This is a client-facing role where you'll work with business stakeholders and operations teams to identify, shape, and deliver data-driven and GenAI solutions that improve logistics performance.
Key Responsibilities
. Engage stakeholders to understand logistics processes, challenges, and opportunities.
. Identify and develop data science and GenAI use cases focused on optimisation, forecasting, automation, and decision support.
. Analyse operational datasets and build machine learning models.
. Design and prototype GenAI solutions using LLMs, prompt engineering, and RAG techniques.
. Lead workshops, presentations, PoCs, and pilot initiatives.
. Translate complex analytics into actionable business recommendations.
Required Experience
. Proven experience in a client-facing Data Science or Analytics Consulting role.
. Strong Python, SQL, and machine learning expertise.
. Hands-on experience with GenAI/LLMs (OpenAI, Azure OpenAI, Anthropic, etc.).
. Experience building LLM prototypes, prompt engineering, and RAG solutions.
. Strong stakeholder engagement and communication skills.
Logistics Experience (Essential)
Candidates must have experience within logistics, supply chain, transportation, warehousing, fleet operations, parcel delivery, or similar environments, with knowledge of route planning, capacity utilisation, service levels, and operational KPIs.
Nice to Have
. Azure, AWS, or GCP experience.
. Optimisation/routing tools and operations research exposure.
. Power BI, Tableau, or Looker.
. Large-scale logistics or E-commerce fulfilment experience.
Profile
. Based in or able to regularly work in Birmingham (preferred) or London.
. Comfortable working autonomously in fast-paced environments.
. Strong consulting mindset with the ability to influence stakeholders at all levels.