Data Scientist

Our client is creating an AI Factory to modernize finance and accounting across Asia, the US, and Europe. This role is central to designing, building, and rolling out AI-driven automation, machine-learning models, and agentic AI workflows that boost productivity, accuracy, and insight for a 600-person finance team. You'll work with FP&A, Accounting, Tax, Treasury, and IT to take AI solutions from prototype to full-scale production, targeting clear business impact—time savings, fewer errors, better working capital, and improved forecast accuracy.

Key Responsibilities

• Build and deploy AI/ML pipelines to automate core finance processes such as closing, reconciliations, forecasting, and tax analytics
• Develop agentic AI systems using multi-agent frameworks (CrewAI, AutoGen, LangGraph, or equivalents)
• Integrate AI solutions with enterprise platforms like ERP systems, BI tools, Dataiku, Google Vertex AI, and Azure OpenAI
• Create supervised and unsupervised ML models for forecasting, anomaly detection, and fraud/risk analysis
• Fine-tune large language models on finance data while adhering to compliance and governance standards
• Set up monitoring, retraining, and performance management for deployed models
• Convert finance workflows into AI use cases with measurable ROI (e.g., >20% time reduction, >30% accuracy improvement)
• Deliver pilot projects within 90 days and scale them enterprise-wide within 6–12 months
• Partner with process owners to drive adoption and maintain governance
• Ensure solutions meet audit, data privacy, and regulatory requirements
• Incorporate explainability and traceability into all production models

Candidate Profile

• 4–7 years in data science or ML engineering with production-grade deployments
• Experience with AI factory approaches—modular design, reusable components, orchestration frameworks
• Proficiency in Python (pandas, scikit-learn, PyTorch/TensorFlow), SQL, and APIs
• Hands-on work with agentic AI frameworks such as CrewAI, AutoGen, LangChain, or LangGraph
• Cloud deployment experience on Google Vertex AI, Azure ML, AWS SageMaker, or similar
• Proven record of delivering productivity projects with measurable ROI
• Familiarity with finance/accounting processes (forecasting, close, compliance, treasury)
• Knowledge of Dataiku DSS or comparable low-code AI platforms
• Experience with workflow automation tools (Power Automate, UiPath, n8n)
• Prior experience in a shared-services or multinational finance environment
• Bilingual in Vietnamese and English

Success Metrics (First 12 Months)

• Launch at least 3 AI pilots in FP&A/Accounting achieving >20% productivity gains
• Create reusable AI components for the finance AI Factory (agents, connectors, templates)
• Deliver >US$500k in cost savings through AI-enabled automation
• Put in place a governance framework for finance AI covering accuracy, auditability, and risk

Why Join

• Chance to build the first finance AI Factory for a global enterprise
• Work on cutting-edge agentic AI and enterprise AI technologies
• Be part of a lean, high-impact team reporting directly to global finance leadership
• Competitive compensation with a clear growth path in a multinational group

Originally posted on Himalayas