The position we offer:
As a data scientist in the Research Department, you will play a pivotal role in advancing our Digitalisation Programme by leveraging cutting-edge technologies and data science to drive innovation in research, machine learning and Generative AI initiative
To excel in this role, candidate should possess a strong background in data science, including hands-on experience with various mainstream coding and DevOps tools. A solid understanding of cross-system integration, full data pipeline development, and machine learning algorithms is highly advantageous. Additionally, candidate should demonstrate excellent communication, analytical, and problem-solving skills, with the ability to work effectively in a collaborative team environment.
Key responsibilities include:
- Conduct data science research on granular and alternative data for risk monitoring and surveillance
- Oversee, maintain, and enhance the daily operations of an internal web portal and Generative AI-powered tools
- Lead a team of programmers to automate data dashboard, database management, and model deployment.
Requirements:
- University degree in data science, statistics, economics, computer science or related fields
- At least 3 years of solid work experience in data science, data engineering, and / or data analytics
- Proficiency in Python, SQL and Tableau
- Hands-on experience with containerization and deployment using Docker and Kubernetes
- Familiarity with DevOps tools (Git, Terraform, Jenkins) and orchestration tools (Apache Airflow)
- Solid understanding of cross-system integration and full data pipeline development
- Knowledge of machine learning algorithms, natural language processing, and big data toolkits an advantage
- Highly motivated with good communication, analytical and problem-solving skills
- Good command of both written and spoken English and Chinese
