London: Supply Chain & AI Strategy Consultant

Accenture

Greater London

On-site

GBP 90,000 - 130,000

Full time

14 days+

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Benefits offered by this job

30 days vacation
Private medical insurance
Volunteer days

Job summary

Accenture in London is seeking a Supply Chain and AI Domain Consultant at CL9 to join UKI Supply Chain and Engineering Data and AI team. The role blends supply chain operations with data and AI, offering structured development, client exposure and cross-disciplinary project work.

The ideal candidate has 2–5 years in related fields, with experience in data analytics, AI/ML and familiarity with ERP/analytics platforms. Travel to client sites is expected.

Qualifications

  • 2–5 years in supply chain, procurement, operations, data analytics or tech consulting.
  • Knowledge of S&OP/IBP, procurement, inventory or logistics concepts.
  • Data and AI capability with Python/SQL/R or BI tools.
  • Familiarity with ERP/analytics platforms and AI integration.
  • Willingness to travel to client sites.

Responsibilities

  • Conduct diagnostics, spend analysis, demand and inventory modeling, and network analysis.
  • Prototype and deploy AI, ML and automation for supply chain use cases.
  • Contribute to consulting engagements through data modeling and recommendations.
  • Participate in workshops, capture requirements and communicate findings.
  • Produce client-ready materials including visualizations and roadmaps.
  • Work with SAP S/4HANA, Kinaxis, o9, Coupa, Celonis, Azure ML, Databricks and BI tools.

Skills

Supply chain
Data analytics
Python
SQL
AI/ML
Power BI

Education

Bachelor's degree

Tools

SAP S/4HANA
Kinaxis
o9
Coupa
Celonis
Azure ML
Databricks
Power BI
Aera Technology
Palantir

Job description

Accenture in London is seeking a Supply Chain and AI Domain Consultant at CL9 to join UKI Supply Chain and Engineering Data and AI team. The role blends supply chain operations with data and AI, offering structured development, client exposure and cross-disciplinary project work.

The ideal candidate has 2–5 years in related fields, with experience in data analytics, AI/ML and familiarity with ERP/analytics platforms. Travel to client sites is expected.

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