Senior Data Scientist, Distribution Strategy

2 months ago

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

We are seeking a skilled Data Scientist to join our Agency Distribution team at AIA International Limited. The ideal candidate will have a strong analytical background, excellent problem-solving skills, and experience in data-driven decision-making.

Key Responsibilities:
  • Develop and implement sophisticated machine learning models to improve agent performance and optimize distribution strategies.
  • Apply advanced analytics techniques to drive insights and improve decision-making processes.
  • Design and implement dashboards and reports to track key performance indicators (KPIs).
  • Collaborate with cross-functional teams to align data initiatives with business goals.
  • Evaluate data integrity and ensure the accuracy and reliability of data collected from various sources.
  • Build and refine algorithms for agent segmentation and targeting.
  • Provide actionable insights to improve agent recruitment, retention, and efficiency.
Requirements:
  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.
  • 3+ years of experience in data analysis, with a focus on machine learning and predictive modeling, preferably 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 data visualization tools like Tableau or Power BI.

AIA International Limited is committed to helping our customers and the community live Healthier, Longer, Better Lives. This role is an excellent opportunity to build a career with a reputable organization and contribute to the development of digital solutions and experiences that make a positive impact.

Please submit your application with all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application.

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