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Data Science, Manager/ Lead (Insurance, 65k)

Hong Kong Temporary HK$56,000 - HK$65,000 per month (HK$672,000 - HK$780,000 per year) View Job Description
As a Data Science Tech Lead in Hong Kong, you will guide data science delivery within the insurance industry and help turn data into practical technology outcomes. You will lead technical work across the Technology department, ensuring solutions are clear, reliable and fit for business use.
  • ML in Cloud environment, Churn Prediction Model
  • Partner IT, Cloud, Infra - Deployment, Milestone Update

About Our Client

The organisation operates in the insurance industry in Hong Kong.

Job Description

  • Lead the design, development, and production deployment of machine learning solutions, automated data pipelines, and advanced customer analytics models.
  • Drive technical excellence across the data science lifecycle, including solution architecture, engineering standards, code quality, and team mentorship.
  • Perform data preparation, feature engineering, and customer segmentation to generate actionable business insights.
  • Develop, validate, and optimize predictive models such as propensity, churn, future value, and risk-scoring models.
  • Establish model monitoring frameworks, track performance, and proactively manage model drift and degradation.
  • Collaborate with Product, Marketing, and Technology teams to embed analytics into business processes and customer engagement initiatives.
  • Translate complex analytical outputs into clear business insights for both technical and non-technical stakeholders.
  • Enhance model performance through continuous feature innovation and integration of new data sources.
  • Work closely with Cloud, Infrastructure, Cybersecurity, DevOps, and IT teams to ensure scalable, secure, and resilient deployments.
  • Manage project deliverables, timelines, milestones, risks, and stakeholder communications.
  • Act as a key liaison between business and technical teams to align analytics initiatives with strategic objectives.



The Successful Applicant

  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related discipline.
  • Min. 8+ years of experience in advanced analytics, machine learning, predictive modelling, and customer analytics.
  • Strong hands-on experience designing and operating ML platforms using MLOps/AIOps best practices.
  • Proven track record in deploying machine learning models into production environments at scale.
  • Expertise in feature engineering and working with large, complex datasets from multiple sources.
  • Strong proficiency in Python (Pandas, Scikit-learn, XGBoost, LightGBM), SQL, and Databricks.
  • Experience with ML tools and frameworks such as MLflow, Airflow, CI/CD pipelines, containerization, and cloud platforms.
  • Knowledge of model explainability techniques (e.g., SHAP) and model governance best practices.
  • Experience building monitoring frameworks, model performance dashboards, and drift detection solutions.



What's on Offer

  • Insurance (Life & General Insurance) industry exposure.
  • Cloud-based analytics and machine learning deployment experience.
  • Experience leading enterprise-scale data science transformation initiatives.



Contact
Samantha Yiu
Quote job ref
JN-102026-7134436
Phone number
36022470

Job summary

Function
IT
Specialisation
IT Data Analysis
What is your area of specialisation?
Insurance
Location
Hong Kong
Job Type:
Temporary
Consultant name
Samantha Yiu
Consultant phone
36022470
Job Reference
JN-102026-7134436

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.