(Senior) Manager, Data Science ($50-90k + 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.