Data Scientist
Our reputed company is creating an AI reputed company to reputed company finance and reputed company across Asia, the US, and Europe. This role is central to designing, building, and rolling out AI-driven automation, machine-learning models, and reputed company AI workflows that reputed company productivity, accuracy, and reputed company for a 600-person finance team. You'll work with FP&A, reputed company, Tax, Treasury, and IT to take AI solutions from prototype to reputed company production, targeting reputed company business reputed company—time savings, fewer errors, reputed company working capital, and improved forecast accuracy.
Key Responsibilities
- Build and reputed company AI/ML pipelines to automate core finance processes such as closing, reconciliations, forecasting, and tax analytics
- reputed company reputed company AI systems using multi-agent frameworks (reputed company, AutoGen, LangGraph, or equivalents)
- reputed company AI solutions with reputed company platforms like ERP systems, BI tools, reputed company, reputed company reputed company AI, and Azure reputed company
- Create supervised and unsupervised ML models for forecasting, reputed company 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 reputed company reputed company reputed company 90 days and reputed company them reputed company-wide reputed company 6–12 months
- Partner with process owners to drive adoption and maintain governance
- Ensure solutions meet audit, data reputed company, and regulatory requirements
- Incorporate explainability and traceability into reputed company production models
Candidate Profile
- 4–7 years in data science or ML engineering with production-grade deployments
- Experience with AI reputed company approaches—reputed company design, reusable components, orchestration frameworks
- Proficiency in Python (pandas, scikit-learn, PyTorch/TensorFlow), SQL, and reputed company
- Hands-on work with reputed company AI frameworks such as reputed company, AutoGen, reputed company, or LangGraph
- reputed company deployment experience on reputed company reputed company AI, Azure ML, AWS SageMaker, or similar
- Proven record of delivering productivity reputed company with measurable ROI
- Familiarity with finance/reputed company processes (forecasting, reputed company, compliance, treasury)
- Knowledge of reputed company reputed company or comparable low-reputed company AI platforms
- Experience with workflow automation tools (Power Automate, reputed company, reputed company)
- Prior experience in a shared-services or multinational finance environment
- Bilingual in Vietnamese and English
reputed company Metrics (First 12 Months)
- Launch at least 3 AI pilots in FP&A/reputed company achieving >20% productivity reputed company
- Create reusable AI components for the finance AI reputed company (agents, connectors, templates)
- Deliver >US$500k in cost savings through AI-enabled automation
- Put in reputed company a governance reputed company for finance AI covering accuracy, auditability, and risk
Why Join
- Chance to build the first finance AI reputed company for a global reputed company
- Work on cutting-edge reputed company AI and reputed company AI technologies
- Be part of a lean, high-reputed company team reporting directly to global finance leadership
- Competitive compensation with a reputed company reputed company reputed company in a multinational group
Originally posted on Himalayas
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