Manulife is looking to solve real business problems such as customer segmentation, product recommendations, and placement probability predictions using machine learning and AI.
Requirements
- Experience programming in Python and SQL.
- Ability to engage in the data science process, including exploration, modeling, training, validation, and deployment.
- Ability to work with complex datasets and a foundation in statistics and related technical areas.
- Knowledge of software development best practices (e.g., Git, DevOps, Agile).
- Familiarity with relational database models (e.g., data vaulting techniques, rules tables).
- Previous internship experience in analytics or data science.
- Working towards a Bachelor’s or advanced degree in Statistics, Applied Mathematics, Data Science, Engineering, Computer Science, or a related field.
Responsibilities
- Actively participate in the development of AI and ML enabled solutions to improve business processes, generate insights, and support business goals.
- Generate relevant, actionable insights through iterative data analysis, translating outputs into business language and recommendations.
- Provide analysis on large, complex datasets.
- Share information and explain ideas to non-technical stakeholders and subject matter experts.
- Build strong working relationships across functions and establish an internal network.
- Take ownership of career development by leveraging available resources to advance technical and business skills.
- Learn how assigned tasks contribute to broader team initiatives.
Other
- Working towards a Bachelor’s or advanced degree in Statistics, Applied Mathematics, Data Science, Engineering, Computer Science, or a related field.
- Previous internship experience preferred; exceptional first-time interns with strong academic records and/or research experience encouraged to apply.
- Strong communication skills with ability to translate data insights into business terms.
- Curious, self-starter, and lifelong learner with a passion for unlocking business value.
- Please indicate the number of actuarial exams you have completed in your resume (if any).
