Senior Consultant AI Engineer / AI Specialist Forensics Ernst & Young AE

Key Responsibilities

AI Development & Engineering

• Design, build, and deploy AI agents for automation, decision support, and workflow optimization.
• Fine-tune, evaluate, and implement Large Language Models (LLMs) for business use cases.
• Develop intelligent pipelines and workflows to integrate AI models into existing systems.
• Use GenAI tools for document summarization, narrative generation, data exploration, and insight explanation.

Data Modelling & Analysis

• Build robust data models to support machine learning workflows and analytical insights.
• Perform Exploratory Data Analysis (EDA) to identify trends, anomalies, and model features.
• Design data schemas, transformation pipelines, and model-ready datasets.
  
  

Data Engineering & Integration

• Clean, transform, and integrate data from ERP systems (e.g., SAP, Oracle), financial systems, transactional databases, and external sources.
• Design and implement data pipelines using SQL, Python, and relevant tools.
• Conduct data profiling, cleansing, and normalization to prepare datasets for analytics and modelling.
• Ensure data integrity, quality, lineage, and auditability across all project workstreams.

Procurement Analytics (Preferred)

• Work with procurement data such as spend data, supplier information, and sourcing KPIs.
• Build and support AI-driven procurement analytics use cases (e.g., spend classification, supplier risk scoring, category insights).

Collaborate with category managers and procurement stakeholders to translate requirements into AI models.

Consulting & Engagement Support

• Collaborate with internal and client teams to gather requirements, understand challenges, and design data-driven solutions.
• Support POCs, proposals, and solution demonstrations in areas related to AI and digital transformation.
• Contribute to the development of best practices, reusable assets, and thought leadership in analytics & AI.