John Hancock Life Insurance Company (U.S.A.) is looking to apply machine learning and AI to real business problems such as customer segmentation, product recommendations, and placement probability predictions to support sales and marketing leadership and deliver data-driven solutions.
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).
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.
- Stay up to date with new developments in AI, machine learning, and alternative data sources.
- Learn how assigned tasks contribute to broader team initiatives.
- Ensure all analytics work adheres to the highest ethical standards.
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.
- 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.
- 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.
