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(Senior) Manager, Data Science ($50-80k + bonus) - insurance

This is a leading insurance institution. They are expanding their Data Science team to leverage the use of AI into growth of business. This is a permanent position.

Responsibilities

  • Analyze customer and agency behavior across marketing, sales, servicing, and retention journeys
  • Develop predictive and machine learning models (e.g. propensity, churn, conversion, segmentation)
  • Design and develop GenAI use cases such as customer insights summarization, agent copilots, and personalized recommendations
  • Conduct data exploration, feature engineering, and model validation using structured and unstructured data
  • Translate business problems into data science and AI solutions with clear success metrics
  • Collaborate with data engineers and platform teams to productionize models and GenAI solutions
  • Communicate insights and model results clearly to business and leadership stakeholders
  • Support data governance, model monitoring, and responsible AI practices

Requirements

  • Master's Degree or above in Computer Science/Mathematic/Data Science or in relevant field
  • 5+ years of experience in data science, advanced analytics, or machine learning roles
  • Strong experience analyzing customer and/or agency data, preferably within insurance or financial services
  • Hands-on experience with Python and common data science libraries (e.g. pandas, scikit-learn, ML frameworks)
  • Practical exposure to GenAI / LLM-based solutions, including POCs or applied use cases
  • Experience working with large datasets, data warehouses, and analytics platforms
  • Solid foundation in statistics, machine learning, and data modeling
  • Strong communication skills with the ability to explain insights to non-technical stakeholders
  • Excellent commands in both Cantonese and English necessary.