Data Science Manager (Quản Lý Khoa Học Dữ Liệu)

Job description

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed. Job Purpose / Mục tiêu vị trí 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. This role translates business needs into practical analytics and machine learning solutions, promotes data-driven decision-making, provides technical guidance to less experienced colleagues, and collaborates with business, technology, and regional stakeholders to align solutions with strategic priorities and operational needs. Job Responsibilities / Phạm vi công việc 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. Ensuring consistent, high-quality outputs within agreed timelines and standards. 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 Accountability / Trách nhiệm chính Own delivery of business value through data science and AI/ML solutions. Build and strengthen data science team capability. Drive data-driven decision-making across key stakeholders. Develop and enrich customer insight capabilities. Job Requirements / Yêu cầu Qualifications / Bằng cấp 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 Experience/ Kinh nghiệm 5 years or experience working in Data Scientist, with a focus on customer behavior data and recommendation models. Knowledge and skill / Kiến thức và kỹ năng Strong technical understanding of machine learning, statistic, and data mining. Familiarity with MLOps and DevOps practices for managing data pipelines and model deployment. Knowledge of Feature Stores and their implementation in data workflows. Strong programming skills (e.g., Python, SQL, ...) Strong understanding of data quality delivery(term, process, framework, tools, ...). Experience in big data frameworks such as Hadoop and Spark, and experience with data processing tools. Experience with Linux environments and command-line tools. Excellent communication and interpersonal skills, with the ability to collaborate effectively across teams and regions. Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.