Join the Data Science team at one of the largest insurance companies in the world.
Collaborative Environment: Work with various business units to leverage AXA’s data and create impactful Data Science solutions.
Technical Flexibility: Build and implement state-of-the-art Data Science solutions to address diverse business problems.
Stakeholder Engagement: Interact directly with stakeholders, presenting innovative ideas and Data Science solutions.
Innovative Technology: Lead the technical advancement in the insurance industry using Machine Learning, Data Science, and Generative AI techniques.
Flexible Working Patterns: Enjoy flexible working options, e.g. work from home.
Knowledge Sharing: Benefit from a support network within the Group Data Science community.
Responsibilities:
Collaborative Relationships: Establish and maintain strong relationships with business units; communicate data concepts and project details clearly with stakeholders.
Solution Development: Develop advanced Data Science solutions using AI, ML and Generative AI techniques.
Project Management: Manage end-to-end AI project development.
Data-Driven Decisions: Enhance business decisions by applying Data Science applications like LLM applications, predictive underwriting, cross-sell modeling, customer insights, and AI recommendation systems.
Dashboard Development: Develop and maintain performance dashboards.
Ad-hoc Tasks: Perform tasks as assigned by the manager.
Qualifications:
Bachelor’s or master’s degree in business
Analytics, Data Science, Computer Science, Mathematics, Physics, or similar subject &1+ years’ experience as data analyst/scientist/engineer
Communication Skills:Strong communication skills and a willingness to collaborate with various parties.
Programming Skills: Proficiency in Python (required) and SQL
Machine Learning Expertise: Deep understanding of Machine Learning concepts and algorithms (e.g., predictive modeling, Generative AI, clustering, NLP, Computer Vision).
Project Experience: Experience in Data Science projects and building machine learning models (e.g., LLM, random forest, gradient boosting, BERT).
Internship Experience: Previous experience as a data scientist or data analyst intern is a plus.
Industry Knowledge: Knowledge of insurance or financial services is advantageous.
Visualization Tools: Familiarity with visualization tools such as Power BI and Tableau.
Cloud Platforms: Experience with cloud platforms like Azure or AWS is a plus.
Personal Attributes: Well-organized, problem solver, fast learner, team player, open-minded, and efficient with minimal tolerance for mistakes.
Language Skills: Proficiency in English and Chinese, both written and spoken.
