【TW Life】Supervisor, Data Science Dept.
Chubb Open · verified Oct 24, 2026 At a glance
Mid-level Data Science role at Chubb. Taipei City · full-time.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Gather and prepare structured and unstructured data, then explore patterns and present them visually
- Build and refine machine-learning models for uses such as marketing targeting, campaign measurement and product optimization
- Work with business teams to turn analysis into solutions and inform decisions
- Explain findings to stakeholders, document analytical work and present results clearly
- Juggle concurrent projects while keeping your data science methods and technical knowledge current
What you bring
- At least three years using Python or SAS in data science work
- A master’s degree or higher in computer science, statistics, applied mathematics or a related discipline
- Hands-on strength in predictive modeling, data mining and statistical analysis, plus problem-solving ability in machine learning
Who this fits
This role suits a mid-level data scientist who can apply modeling and analytics to business problems and communicate results with stakeholders. Interview coordination and invitations are handled by email, so check your inbox and spam or junk folders regularly.
From the employer
- 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.
Must:
- 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.
Plus:
- 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.
Personal Competencies:
- Good communication and negotiation skills.
- Ability to handle pressure and meet deadlines.
- Enthusiasm, personal drive, willingness to learn, and attention to detail.
★Recruitment Process Notice
• Please note that interview coordination for the next stage will be handled by our offshore Service Hub.
• All interview-related communications — including availability confirmation and interview invitations — will be conducted via email only.
• As phone contact is not available at this stage, kindly check your email regularly (including spam or junk folders) to avoid missing important updates.
★Learn more about Chubb Life Taiwan's culture and workplace
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