Senior Data Analytics & AI Scientist - Insurance (HK)

Michael Page International (HK) Ltd; Hong Kong Island; On-site; HKD 480,000 - 720,000; Full time

Benefits offered by this job

Competitive salary

Energetic team with AI adoption

Job summary

Michael Page International (HK) Ltd in Hong Kong is seeking a Data Analyst to join the insurance analytics team on a temporary basis. You will analyze data, build models, and support the analytics department with actionable insights.

The role requires a strong background in SQL, Python or R, and experience with visualization tools, plus excellent communication with stakeholders to drive data-driven decisions.

Qualifications

• Bachelor's degree in data-related disciplines.
• Minimum 5 years of experience in Data Analytics or related fields.
• Strong hands-on experience in SQL and data analysis.
• Experience in predictive modelling, machine learning, or statistical analysis.
• Proficiency in Python, R, SAS, or similar analytics tools.
• Experience with Power BI or Tableau for data visualization.
• Excellent communication and stakeholder management skills.

Responsibilities

• Drive business analytics and campaign performance analysis.
• Develop predictive models to support business growth and engagement strategies.
• Utilize SQL to extract, transform, and analyze large datasets from multiple sources.
• Leverage AI technologies and automation to enhance reporting processes and productivity.
• Partner with stakeholders across business functions to translate data into insights and recommendations.

Skills

SQL

Data analysis

Predictive modelling

Machine learning

Education

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Finance, Economics, or related disciplines

Tools

Python

R

SAS

Power BI

Tableau

Job description

Michael Page International (HK) Ltd in Hong Kong is seeking a Data Analyst to join the insurance analytics team on a temporary basis. You will analyze data, build models, and support the analytics department with actionable insights.

The role requires a strong background in SQL, Python or R, and experience with visualization tools, plus excellent communication with stakeholders to drive data-driven decisions.