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Senior Data Science Analyst - Job Opportunity at AXA Hong Kong and Macau

Hong Kong, Hong Kong SAR
Contract
Senior
Posted: March 26, 2025
Hybrid
HKD 600,000 - 900,000 per year based on Hong Kong financial sector standards and role seniority

Benefits

Flexible working arrangements including work from home
Professional development through AXA Group Data Science community
Comprehensive health insurance coverage
Mental health support programs
Career advancement opportunities within global organization
Collaborative work environment
Access to cutting-edge technology and tools

Key Responsibilities

Lead end-to-end AI project development with direct business impact
Develop advanced Data Science solutions leveraging AI, ML and Generative AI
Drive data-driven decision making through LLM applications and predictive modeling
Build and maintain performance monitoring dashboards
Establish strategic partnerships with business stakeholders
Contribute to technical innovation in insurance industry

Requirements

Education

Bachelor's or master's degree (preferably) in Data Science, Computer Science, Mathematics, Physics, or similar subject

Experience

2+ years experience as data analyst/scientist/engineer or similar position

Required Skills

Python programming (must) SQL proficiency Machine Learning expertise Data analysis Power BI and Tableau Strong communication skills Project management Bilingual proficiency in English and Chinese
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Sauge AI Market Intelligence

Industry Trends

Insurance sector is rapidly adopting AI and ML technologies for risk assessment and customer engagement Growing demand for data scientists who can work with generative AI and LLMs in financial services Increasing focus on ESG and sustainability analytics in insurance Rising importance of mental health analytics and predictive health modeling

Role Significance

Typically part of a 5-10 person data science team within larger analytics organization
Senior individual contributor role with potential for technical leadership and strategic influence

Key Projects

Implementation of LLM-based customer service solutions Predictive underwriting models Customer segmentation and cross-sell optimization ESG risk assessment models Mental health risk prediction systems

Success Factors

Ability to bridge technical expertise with business acumen Strong stakeholder management skills in a matrix organization Deep understanding of insurance industry dynamics Capacity to deliver production-ready ML solutions Experience with large-scale data transformation projects

Market Demand

Very high demand, particularly in APAC region where insurance companies are accelerating digital transformation initiatives

Important Skills

Critical Skills

Python and ML expertise are essential for developing production-ready solutions Stakeholder communication skills crucial for cross-functional success Business acumen needed to translate technical solutions to business value

Beneficial Skills

Cloud platform experience (Azure/AWS) Insurance domain knowledge Project leadership experience Understanding of regulatory requirements in financial services

Unique Aspects

Focus on mental health analytics sets this role apart from traditional insurance data science positions
Opportunity to work with cutting-edge generative AI in a regulated industry
Strong emphasis on ESG and sustainability analytics
Access to global data science community and resources

Career Growth

2-3 years in role before progression, depending on project impact and leadership development

Potential Next Roles

Lead Data Scientist Data Science Manager Technical Product Manager AI Strategy Lead

Company Overview

AXA Hong Kong and Macau

AXA is one of the world's largest insurance and asset management groups, with a strong focus on innovation and sustainability

Leading position in Hong Kong insurance market, particularly in General Insurance and Health sectors
Strategic APAC hub with significant investment in digital transformation
Global corporate environment with strong emphasis on sustainability, innovation, and employee development
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