Westfield is looking to leverage data to drive insights, support decision-making, and contribute to the development of innovative solutions for real-world insurance problems.
Requirements
- Must have some proficiency in programming languages such as Python, R, or SQL.
Responsibilities
- Collecting, cleaning, and analyzing large datasets to identify trends, patterns, or correlations relevant to the business
- Employing exploratory data analysis
- Investigating feature generation
- Supporting the development or implementation of predictive models to forecast insurance risks, customer behaviors, or business outcomes, which may involve various model forms and approaches (e.g., GLM, Machine Learning, Deep Learning, etc.)
- Creating clear, concise, and visually appealing reports, dashboards, or presentations that communicate findings and insights to stakeholders or data science leaders
- Create thorough documentation of data processes, models, and analyses to ensure transparency and reproducibility.
- Apply learning to enhance performance throughout the internship.
Other
- Actively enrolled in a Masters degree program, PhD Preferred, in Data Science, Actuarial Science, Computer Science, Mathematics, Statistics, or a related discipline, with a solid understanding of statistical methods.
- Strong problem-solving orientation preferred.
- Hybrid defined as three (3) or more days per week in the office.
- Collaborates
- Communicates effectively
