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

LeadCentral and Western District, Hong Kong, HKhace 2 sem.
Análisis del mercado
📊 AI / ML / Data Science: salarios y demanda en el mercado
Stack
airflowci/cdclouddatabricksdevopslightgbmmlflowmlopspandaspythonscikit-learnsql
Detalles
Experiencia
8+ años
Prácticas
CI/CD, DevOps, MLOps
Formación
Máster
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Descripción

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. Client Details The organisation operates in the insurance industry in Hong Kong.

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 res

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