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Lead Data Scientist

1 month ago

Hong Kong, Central and Western District, Hong Kong SAR China AIA International Limited. Full time
About the Role

We are seeking a talented Lead Data Scientist to join our Agency Distribution team at AIA International Limited. The ideal candidate will have a strong analytical background, excellent leadership skills, and extensive experience in machine learning and predictive modeling.

Key Responsibilities:
  • Manage and mentor a team of data scientists and data engineers, fostering a collaborative and innovative environment.
  • Develop and implement advanced machine learning models to improve agent performance and optimize distribution strategies.
  • Utilize advanced analytics techniques to generate insights and optimize decision-making processes.
  • Design and establish dashboards and reports to monitor critical metrics.
  • Collaborate closely with cross-functional teams, including sales, marketing, and IT, to align data initiatives with business objectives.
  • Ensure the accuracy and reliability of data collected from various sources.
  • Develop and refine algorithms for agent segmentation and targeting.
  • Deliver actionable insights to optimize agent recruitment, retention, and efficiency.
Requirements:
  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.
  • At least 8 years of experience in data analysis, specifically in machine learning and predictive modeling. Leadership experience is also preferred, especially in the insurance or financial services industry.
  • Proficiency in programming languages such as Python or R.
  • Experience with machine learning frameworks and libraries such as TensorFlow, Scikit-learn, or PyTorch.
  • Expertise in both conceptualizing and building AI/ML models.
  • Advanced knowledge of SQL for data manipulation and querying.
  • Experience with data visualization tools like Tableau or Power BI.
  • Strong problem-solving skills and ability to interpret complex datasets.
  • Excellent verbal and written communication skills, with the ability to present complex information clearly.
  • Proven experience in leading and developing high-performance teams.