Lead Data Scientist - Wealth & Personal Banking
HSBC
- Central, Hong Kong
- Permanent
- Full-time
- Work under Head of Data Science Solution as the leader role and ”go-to person” for business queries on analytical insights and machine learning
- Be responsible for managing the end-to-end business insights analytics and machine learning model lifecycle, starting from mining business opportunities based on analytic-driven insight mining, drafting business case and solution proposals, to leading the machine learning model experimental training, validation, finetuning and model governance documentation
- Own the technical solution design and implementation for the responsible AI / ethical bias testing with the lead of model governance in the team
- Work closely with business stakeholders to review the as-is business operation model and identify potential opportunities for optimization using Machine Learning or AI
- 5+ years of working experience in both hands-on machine learning model development and scaled enterprise analytics project management
- Proven programing skills for Machine Learning model training, evaluation, and fine tuning, in Python-based Machine Learning and Deep Learning framework
- Proficient in building quick prototype of Machine Learning based application with front-end and backend, in Python or Java
- Working experience in consulting firm serving enterprise client on AI & Machine Learning innovation initiative is preferred
- In-depth understanding and experienced in most commonly used Machine Learning algorithms and Data Science/Analytics methods
- Good understanding of DevOps, DataOps or MLOps
- Cloud-native data ETL development is preferred
- Technology stack provisioned in the team include:
- DataProc + Spark + Python on Google Cloud
- Airflow DAG for scheduling
- PyCharm / Visual Studio / IntelliJ as IDE for application development
- Jenkins / Terraform for deployment automation
- Java / Python packages and deep learning framework
- Multiple databases including PostgreSQL, BigQuery, graph databases, etc