Trách nhiệm chính

• 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 (GLM, gradient boosting, survival, severity, anomaly‑detection, uplift approaches) and 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.
• 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.

Yêu cầu

• 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.
• 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.
• Strong stakeholder communication and mentoring skills, with fluency in English.

Yêu cầu ưu tiên

• 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.
• Life insurance, banking, customer analytics, claims or fraud analytics experience is strongly preferred.

Mức lương

• Lương 13 tháng, thưởng và tiền thưởng đặc biệt.

Phúc lợi

• Đầy đủ các chế độ xã hội theo Luật Lao động Việt Nam (Bảo hiểm, ngày nghỉ phép, ...).
• Chăm sóc sức khỏe cho bản thân và gia đình.
• Các chuyến đi công ty và hoạt động xây dựng đội nhóm hàng năm.
• 15-16 ngày nghỉ phép hàng năm.
• Công ty sẽ mua hợp đồng bảo hiểm nhân thọ cho bạn sau 1 năm làm việc.
• Đào tạo: Được đào tạo kỹ năng mềm và kỹ năng chuyên môn.
• Môi trường làm việc quốc tế, đầy thách thức và thân thiện.