ADVANCED MODEL DEVELOPMENT & TECHNICAL LEADERSHIP
Lead end-to-end analytical work for assigned use cases, including problem framing, data assessment, label design, feature engineering, model development and model selection.
Develop robust statistical and machine-learning models, including GLM, gradient boosting, survival, severity, anomaly-detection and treatment-response / uplift approaches as applicable.
Design evaluation frameworks covering discrimination, calibration, stability, explainability, fairness and segment-level performance.
Review code and methodology, mentor junior data scientists and promote reproducible development, testing and documentation standards.
Translate complex model behavior into clear business drivers, limitations, reason codes and decision recommendations.
EXPERIMENTATION, IMPLEMENTATION & MODEL LIFECYCLE
Partner with Analytics Product Managers to define interventions, controlled pilots, success thresholds and incremental-value measurement.
Prepare production scoring specifications and work with Data Engineering, BI, IT and business teams to integrate model outputs into operational workflows.
Prepare development documentation, respond to independent validation and ensure approval conditions are addressed before deployment.
Establish and monitor model-performance, data-drift and business-value indicators; recommend recalibration, retraining, restriction or retirement.
Engage Actuarial, Claims, Distribution, Customer Service and Risk teams to ensure models are technically sound, commercially relevant and responsibly used.
Your Skills and Experience
Bachelor or Master degree in Data Science, Statistics, Mathematics, Actuarial Science, Computer Science, Economics, Engineering or a related quantitative field.
Minimum 5-8 years of experience in data science, machine learning, actuarial analytics or quantitative modeling, with demonstrated end-to-end project ownership.
Strong expertise in statistical modeling and machine learning, including GLM, tree-based models, model calibration and explainability.
Practical experience with AI or LLM-enabled solutions, such as prompt workflows, semantic search, RAG, text analytics or conversational interfaces.
Understanding of LLM evaluation, including how to assess relevance, factuality, consistency, safety and business usefulness.
Practical experience in at least one advanced area such as survival analysis, causal inference, uplift modeling, anomaly detection, frequency / severity modeling or recommender systems.
Advanced SQL and strong R or Python programming skills, including reproducible workflows, version control and code review.
Experience operationalizing models, designing controlled experiments and monitoring models after deployment.
Life insurance, banking, customer analytics, claims or fraud analytics experience is strongly preferred.
Strong stakeholder communication and mentoring skills, with fluency in English.
Why You'll Love Working Here
Salary for 13th month, Bonus & Special Bonus
Full of social welfare under Vietnamese Labor Law (Insurance, annual leave, ...)
Healthcare for yourself & Your Family
Annual travel and team building activities
15-16 annual leave days
Company will buy Life Insurance Contract for yourself after 1 year working
Training: Trained in soft and technical skills
International, challenging, and friendly working environment
