数据科学家

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