Data Scientist (Senior/Expert) - Hà Nội - TA139Ngân hàng TMCP Việt Nam Thịnh Vượng - VPBank

Mô tả Công việc
Our vision is to transform VPBank into a data-driven organization, propelling it toward becoming one of the top three banks in Vietnam and among the top 100 in Asia. The EDA Division, supported by a dynamic team of passionate and experienced professionals, is dedicated to unlocking the full potential of data to enhance customer experiences, accelerate business growth, improve operational efficiency, and mitigate risks. We aim to achieve this by building a next-generation enterprise data platform, advancing data governance, and promoting AI and machine learning.
The purpose of this position is to collaborate with Business Units and other departments within the EDA to analyze complex datasets, uncover customer behavior insights, and deliver actionable recommendations.
Key responsibilities:
Support the management of the Data Science department (with the potential to lead a small team) and guide the application of advanced analytics and data science techniques to uncover customer behaviors and solve real business problems.
Work directly with the head of Data Science department to give direction for advanced analytics, predictive modeling in the bank's operations
Proactively propose, execute, and lead analytics projects to support business units
Apply data science and analytics techniques to get insights so as to help business to solve real business problems
Extract insights from customer behaviors using a variety of data mining techniques
Develop machine learning, deep learning models to assist business units in addressing various challenges, including customer churn, customer journey, recommendation engines, cross-selling products to existing customers, etc.
Coach & train team members
Automate analytics process
Support the management of the Data Science department (with the potential to lead a small team) and guide the application of advanced analytics and data science techniques to uncover customer behaviors and solve real business problems.
Work directly with the head of Data Science department to give direction for advanced analytics, predictive modeling in the bank's operations
Proactively propose, execute, and lead analytics projects to support business units
Apply data science and analytics techniques to get insights so as to help business to solve real business problems
Extract insights from customer behaviors using a variety of data mining techniques
Develop machine learning, deep learning models to assist business units in addressing various challenges, including customer churn, customer journey, recommendation engines, cross-selling products to existing customers, etc.
Coach & train team members
Automate analytics process