Analyze the skill sets required for data science and actuarial science.

Understand different industry applications for both fields.

Compare educational requirements and certifications.

Examine job outlooks and salary trends for each.

Learn about daily work activities and challenges.

Explore cross-over skills and potential hybrid roles.

Review programming languages and tools used.

Consider personal interest in risk modeling versus data analytics.

Look at the flexibility of career options.

Make an informed decision aligned with your goals.