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Chubb Life Linkedin · Posted 15d ago

Chubb Life Taiwan: Data Scientist

Taipei

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Indexed description

Key Responsibilities

  • Apply machine learning and analytics to drive business value and revenue growth.
  • Collect, clean, and analyze structured and unstructured data from various sources.
  • Perform exploratory data analysis and visualize results using standard tools (e.g., Tableau).
  • Develop, implement, and optimize machine learning models for business applications (e.g., marketing targeting, campaign effectiveness, product optimization).
  • Collaborate with teams and business stakeholders to deliver solutions and support decision-making.
  • Communicate findings and analytic solutions to stakeholders, document processes, and present results clearly.
  • Stay updated with the latest trends, tools, and technical knowledge in data science and related industries.
  • Work in a dynamic, project-oriented environment with multiple concurrent tasks.


Qualification

  • 3+ years’ experience in Data Science using Python/SAS
  • Strong problem-solving skills in ML modeling
  • Advanced hands-on experience in predictive modeling, data mining, and statistical analysis
  • Master’s degree or above in computer science, statistics, applied mathematics, or related discipline
  • Good communication and teamwork skills


Preferred Qualifications

  • Domain knowledge in life insurance, banking, healthcare, or digital marketing
  • Experience with data visualization tools (e.g., Tableau, Matlab)
  • Familiarity with MLOps
  • Strong English ability
  • Experience in cloud environments (e.g., Azure, AWS)
  • Professional ML-related certifications (e.g., Azure Data Scientist Associate, AWS Machine Learning)
  • Publications/patents in ML fields
  • Cross-functional project experience


Competencies

  • Good communication and negotiation skills
  • Ability to handle pressure and meet deadlines
  • Enthusiasm, personal drive, willingness to learn, and attention to detail


★Learn more about Chubb Life Taiwan's culture and workplace

• [開箱影片] 走進我們的辦公室,認識工作環境、福利與文化

• [Podcast] 探索我們如何打造支持成長與創新的職場


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