Assistant Artificial Intelligence Researcher (Insurtech)

Job summary

The appointee will work in a young and energetic team to develop AI & mobile applications or AI-enabled computational solutions for our multiple healthcare related projects. The project scope involves AI digests the data from multiple sources and maps the diagnosis and treatment with standard codes and apply expert medical knowledge to determine if there is elevated risk for claim assessor to be aware of. This plays vital role in decision automation.

Responsibilities:

• Work on artificial intelligence and machine learning projects
• Collaborate with data scientists and IT specialists to support daily operations, including task automations and data visualization
•  Design, implement, and test AI software for analysing large healthcare related data
• Responsible for developing and implementing machine learning solutions specifically tailored for fraud detection in the insurance industry
• Utilize mathematical expertise to derive solutions, including the implementation of oversampling algorithms and custom objective functions

Requirements:

• Degree or above in Computer Science, Information Technology, Data Science, Bioinformatics or relevant discipline
• Experienced in developing programmes using Python, Java, or R
• Competent in computer programming including experience in artificial intelligence or machine learning
• Self-motivated, organised, and be able to work effectively in a team

Note for Applicant:

Research Talent Hub for Technology Companies Conducting R&D Activities in Hong Kong Programme.

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. Applicants should apply and attach an application letter and a detailed resume stating the current and expected salary.

The personal data provided in your application process will be used for recruitment purposes. We are an equal opportunities employer and welcome applications from all qualified candidates.