AI Scientist
Engineering Data Analyst Data Science Data Analysis AI/ML ML
Salary
Location
Benefits
Performance bonus
Laptop/desktop for works
Yearly salary review
Other benefits
Full social insurance
Flexible working time
Work-from-home
Job Overview And Responsibility
We are building an AI Factory to transform finance and accounting across Asia, the US, and Europe. This role is critical in designing, developing, and deploying AI-driven automation, ML models, and agentic AI workflows that improve productivity, accuracy, and insight generation for a 600-person finance organization. The Data Scientist will partner with FP&A, Accounting, Tax, Treasury, and IT teams to industrialize AI solutions — from prototype to scaled production — with a focus on measurable business outcomes (time savings, error reduction, working capital impact, forecast accuracy). - Design and deploy AI/ML pipelines to automate finance processes (close, reconciliation, forecasting, tax analytics). - Develop agentic AI systems (multi-agent workflows with CrewAI, AutoGen, LangGraph, or similar). - Integrate AI solutions with enterprise platforms (ERP, BI tools, Dataiku, Google Vertex AI, Azure OpenAI). - Build supervised/unsupervised ML models (forecasting, anomaly detection, fraud/risk analysis). - Fine-tune LLMs on finance datasets with strict compliance and governance controls. - Implement monitoring, retraining, and performance management frameworks for models. - Translate finance workflows into measurable AI use-cases with ROI (e.g., >20% time savings, >30% accuracy uplift). - Deliver pilots in <90 days and scale to enterprise level within 6–12 months. - Work closely with process owners to ensure adoption and governance. - Ensure AI solutions meet audit, data privacy, and regulatory requirements. - Build explainability and traceability into deployed models. Key Metrics of Success (First 12 months) - Deliver ≥3 AI pilots in FP&A/Accounting with >20% productivity gain. - Build reusable AI components for the finance AI Factory (agents, connectors, templates). - Demonstrate cost savings of >US$500k equivalent through AI-enabled automation. - Establish governance framework for AI in Finance (accuracy, audit, risk).
Required Skills and Experience
- 4–7 years in data science / ML engineering with proven production deployments. - Hands-on experience with AI factory models: modular design, reusable components, orchestration frameworks. - Exposure to finance/accounting processes (forecasting, close, compliance, treasury). - Proficient in Python (pandas, scikit-learn, PyTorch/TensorFlow), SQL, APIs. - Experience with agentic AI frameworks: CrewAI, AutoGen, LangChain, LangGraph, or similar. - Cloud deployment skills: Google Vertex AI, Azure ML, AWS Sagemaker, or equivalent. - Strong track record in delivering business productivity projects with measurable ROI. - Bilingual (Vietnamese + English).
Why Candidate should apply this position
ST Engineering is one of Asia's largest defense and engineering groups. It has also diversified over the years, and now supplies both military customers and commercial ones in over 100 countries, which cover its four core businesses -- aerospace, land systems, electronics and marine. - Meal allowance & transportation allowance - Laptop - 100% salary from probation - Training from probation - Free learning of all courses on LinkedIn e-learning - Private insurance for employees from probation - SHUI is paid on total Gross Base salary - Annual performance review - Annual salary review - Lots of periodic company gatherings and events.
Preferred skills and experiences
- Familiarity with Dataiku DSS or similar low-code AI factory platforms. - Experience with workflow automation (Power Automate, UiPath, n8n). - Previous work in a shared services or multinational finance organization.
Report to
Team Lead
Interview process
1 online test + 1 tech interview + 1 final (tech +culture fit)
