Data Scientist for Digital Transformation

1 day ago


Hong Kong, Central and Western District, Hong Kong SAR China AIA International Limited. Full time
About the Role
At AIA International Limited, we are committed to creating a healthier and more sustainable future for everyone. As a pioneering organization, we have been transforming our business to be faster, simpler, and more connected.

We are seeking an experienced Data Scientist to join our Agency department and contribute to our digital transformation in the insurance industry. The successful candidate will work closely with cross-functional teams to apply data-driven insights to various business challenges and enhance customer experiences.

The ideal candidate will possess advanced analytical techniques and machine learning skills to drive business decisions, optimize processes, and develop predictive models. They will also have strong coding skills, excellent teamwork and collaboration abilities, and a keen analytical mindset.

Key Responsibilities:
  • Data Analysis & Actionable Insights: Apply statistical techniques to analyze large datasets, identify patterns, and build predictive models that address business challenges and provide actionable insights.
  • Machine Learning Models: Develop and deploy machine learning models and algorithms to solve complex problems in agent performance and policy optimization.
  • Data Engineering: Ensure data quality by cleaning, transforming, and processing large datasets from multiple sources.
  • Collaboration: Work closely with business stakeholders, including agency leaders, product managers, and IT to understand business requirements and translate them into data science solutions.
  • Presentation and Data Storytelling: Create impactful presentations to effectively communicate insights to non-technical stakeholders and guide strategic decision-making.

Minimum Job Requirements:
  • A Bachelor's or Master's degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics. PhD candidates are welcome to apply.
  • Proficiency in programming languages such as Python and SQL.
  • Experience with machine learning frameworks like Pandas, NumPy, TensorFlow, Keras, or PyTorch.
  • Strong knowledge of statistical analysis techniques and modeling methods.
  • Familiarity with big data technologies such as Hadoop, Spark, or Databricks.
  • Expertise in SQL for data manipulation and querying.
  • Experience with data visualization tools like Tableau, Power BI.

Personal Attributes:
  • Strong problem-solving skills with a keen analytical mindset.
  • Strong coding skills.
  • Ability to communicate complex technical concepts to non-technical stakeholders.
  • Excellent teamwork and collaboration skills in a cross-functional environment.
  • Detail-oriented with the ability to maintain accuracy in high-pressure situations.
  • Self-motivated and curious, always seeking opportunities for innovation and improvement.


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