Data Scientist- Insurance 50-65k

Kwun Tong Temporary HK$50,000 - HK$65,000 per month (HK$600,000 - HK$780,000 per year) View Job Description
We are seeking a Data Scientist to join our team in the insurance industry, located in Kwun Tong. The ideal candidate will leverage their technical expertise to analyze and interpret complex data, supporting business decisions and driving innovation.
  • Drive high-impact AI personalization projects across Asia.
  • Lead regional end-to-end AI/ML solution delivery.

About Our Client

Our client is a well-established large organization in the insurance industry, known for their robust technology department and commitment to innovation. They provide an environment that fosters growth and values impactful contributions.

Job Description

  • Deliver AI-driven personalization solutions across multiple Asian markets from concept to deployment.
  • Align with regional teams and marketing stakeholders to shape objectives, KPIs, and success benchmarks.
  • Convert business needs into feasible ML approaches while ensuring data readiness and model suitability.
  • Collaborate across IT, Data, and MarTech teams on CDP data design, feature inputs, and model outputs.
  • Provide leadership and direction to offshore AI teams, ensuring timely and high-quality project delivery.
  • Coordinate cross-market dependencies, manage timelines, mitigate risks, and resolve challenges proactively.
  • Review and evaluate machine learning models, feature engineering, and performance metrics.
  • Ensure responsible AI standards, interpretability, and business relevance across all deliverables.
  • Offer strategic insights on model upgrades and future optimization opportunities.
  • Conduct segmentation and behavioral analysis to support customer and digital insights.
  • Translate analytical findings into actionable recommendations aligned with business priorities.

The Successful Applicant

  • A successful Data Scientist should have:
  • Strong proficiency in data analysis and machine learning techniques.
  • Experience with programming languages such as Python, R, or similar.
  • Knowledge of data visuali8+ years of experience in data science, AI/ML, personalization, or customer analytics.
  • Solid background building or managing models for personalization, targeting, or marketing automation.
  • Familiar with digital marketing platforms and Adobe Experience Cloud (incl. Adobe Analytics).
  • Strong understanding of CDP ecosystems, data pipelines, and MarTech environments (Adobe, Salesforce, Braze, etc.).
  • Experience validating ML models, feature engineering, statistics, and MLOps practices.
  • Proven track record leading regional or cross-market initiatives in matrix organisations.
  • Comfortable working with marketing, digital, CRM, and product teams.
  • Strong project management skills with the ability to manage tight timelines.
  • Excellent communication, able to simplify complex AI concepts for non-technical stakeholders.
  • Bachelor's or Master's in a quantitative field; advanced degrees preferred but optional.zation tools and techniques.
  • Familiarity with big data platforms and cloud computing environments.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work effectively in a collaborative team environment.

What's on Offer

  • Competitive monthly salary and benefits package.
  • Be part of a forward-thinking technology department in the insurance industry.
  • Collaborative and innovative work environment in Kwun Tong.



If you are ready to take the next step in your career as a Data Scientist, apply now to join this exciting opportunity in Kwun Tong!

Contact
Michael Loe
Quote job ref
JN-022026-6958359
Phone number
+85225306127

Job summary

Function
IT
Specialisation
IT Data Analysis
What is your area of specialisation?
Insurance
Location
Kwun Tong
Job Type:
Temporary
Consultant name
Michael Loe
Consultant phone
+85225306127
Job Reference
JN-022026-6958359

Diversity & Inclusion at Michael Page

We don't just accept difference - we celebrate it. We encourage applicants from all backgrounds to apply for this role and are committed to building inclusive, diverse workplaces where everyone can thrive. If you require any support or reasonable adjustments during the recruitment process, please let us know.