AI Integration: Design and deploy LLM-based solutions that allow users to query enterprise reports (Power BI/Tableau) using natural language.
Predictive Modelling: Develop and maintain machine learning models to optimize global operations across Supply Chain, Manufacturing, and Finance.
Advanced Analytics: Translate complex business problems into mathematical frameworks to drive efficiency in Procurement, Regulatory, and Quality functions.
Insight Automation: Build "Drill-Through" AI logic that enables non-technical users to move from high-level KPIs to root-cause analysis via conversational interfaces.
Data Storytelling: Create and enhance sophisticated dashboards in Power BI and Tableau, ensuring data integrity and user-centric design.
Cross-Functional Collaboration: Act as a bridge between the Enterprise Analytics team and global functional leads to identify opportunities for AI-driven automation.
Facilitate quarterly standards review with cross-functional stakeholders.
Build cascading meeting network (weekly service/monthly supply) to embed behaviours and sustain outcomes.

Minimum: Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field.
Preferred: Master’s or PhD in a specialized AI/Machine Learning discipline or an MBA with a heavy focus on Business Analytics.
Technical Stack: Expert-level proficiency in Python (specifically libraries like Pandas, Scikit-learn, NLP and PyTorch/TensorFlow).
Generative AI: Proven experience with LLM frameworks (e.g., LangChain, LlamaIndex) and API integration (OpenAI, Anthropic, or open-source models).
Visualization: Advanced skills in Power BI and/or Tableau, including DAX or Tableau Calculation language.
Functional Expertise: 3+ years of experience performing analytics within Supply Chain, Manufacturing, Finance, or Commercial environments.
Data Plumbing: Strong SQL skills and a deep understanding of data modelling.
Nice to have: Prior experience with SAP (ERP) data structures is highly desirable.
Excel Mastery: Ability to manipulate and validate data in Excel for rapid prototyping.

AI Data Scientist

Key skills