# Data Science Manager (Quản Lý Khoa Học Dữ Liệu)

**Company**: Prudential
**Location**: Thành phố Hồ Chí Minh
**Experience**: senior
**Job type**: full-time
**Category**: IT
**Industry**: Finance

**Apply**: https://prudential.wd3.myworkdayjobs.com/en-US/prudential/job/Thnh-ph-H-Ch-Minh/Data-Science-Manager--Qun-L-Khoa-Hc-D-Liu-_26070402?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_d35b3d1c-851

## Description

Prudential's purpose is to be partners for every life and protectors for every future.

The Data Science Manager is expected to deliver consistent, high-quality outcomes within a defined area of data science and analytics, working independently most of the time.

**Job Responsibilities**

- Design, build, and maintain a scalable Customer Insight Feature Store that consolidates customer data from multiple sources to create a unified customer view, enabling analysis of customer behavior, profile enrichment, and generation of actionable insights.

- Develop, enhance, and own the delivery of advanced analytics and machine learning models, including CLV, customer retention, segmentation, upsell/cross-sell recommendation, and fraud detection.

- Support AI adoption and innovation initiatives by identifying practical AI use cases, advising on AI-enabled analytics solutions, and coordinating with business, technology, and governance stakeholders to ensure responsible experimentation and phased rollout.

- Apply and follow MLOps practices across the model lifecycle, ensuring model quality, deployment reliability, and ongoing monitoring of model performance, data drift, and model drift.

- Collaborate with local, regional, business, and technology stakeholders to align customer analytics initiatives with market needs, strategic priorities, and operational requirements.

- Stay up to date with industry trends, best practices, and emerging technologies in data science, AI, big data analytics, and customer insights; evaluate and recommend relevant tools and methodologies to enhance analytics capability.

**Job Requirements**

- Bachelor's degree in Computer Science, Information Technology Engineer, or equivalent fields.

- Master's degree in Computer Science, Financial analysis business fields (e.g. MBA, Finance, Business Analytics, etc.) would be considered as a strong plus.

- 5 years or experience working in Data Scientist, with a focus on customer behavior data and recommendation models.

- Strong technical understanding of machine learning, statistic, and data mining.

- Familiarity with MLOps and DevOps practices for managing data pipelines and model deployment.

- Strong programming skills (e.g., Python, SQL, ...).

- Excellent communication and interpersonal skills, with the ability to collaborate effectively across teams and regions.

## Skills

### Required
- Python
- SQL
- machine learning
- data mining
- MLOps
- DevOps

### Nice to have
- Master's degree in Computer Science
- Financial analysis business fields

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Source: [Apply at prudential.wd3.myworkdayjobs.com](https://prudential.wd3.myworkdayjobs.com/en-US/prudential/job/Thnh-ph-H-Ch-Minh/Data-Science-Manager--Qun-L-Khoa-Hc-D-Liu-_26070402?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)