Data Scientist

NewbridgeVietnam only

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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)

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Data Scientist

NewbridgeVietnam only

Apply now

Opens the original posting.

Apply now

Share job

Copy link or share on social media.

Apply on the original site

Companies in this catalog do not charge applicants. Never send money to apply.

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

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