Data Science Intern

Central is an insurance company offering an internship program designed to provide hands-on experience, professional development, and exposure to diverse teams. The Data Science Intern will apply statistical, analytics, SQL, modeling, and visualization techniques to solve business problems and communicate findings across the organization.

What you'll do:

• Immersive experiences in challenging and meaningful work with built-in continuous learning opportunities
• Direct impact on work that matters and opportunities to affect successful outcomes and drive corporate objectives
• Gain the skills and knowledge to become a future trailblazer
• Build a lasting professional network through events and activities
• Apply statistical and analytics techniques to charter a project from start to finish
• Generate and validate SQL queries to pull together disparate data for hypothesis testing
• Perform exploratory data analysis to unlock patterns and promote discovery
• Move from EDA to modeling with the capability to generate predictions
• Leverage best practices in data visualization to communicate findings and distribute learnings throughout the organization through data story-telling

What they're looking for:

• * Naturally curious and ask a lot of questions
• * Interest in learning the ins-and-outs of the insurance industry
• * Capable of coding in either R or Python
• * Knowledge and experience building standard predictive modeling techniques including: linear and non-linear models, regression analyses, machine learning methods (decision trees, XG Boosted trees, neural networks, cluster analysis (KNN), feature selection, etc.), forecasting, time series analysis, survival analysis, and causal impact analyses
• * Capable of writing SQL queries to generate datasets
• * M.S. Students in Statistics, Mathematics, Economics, Computer Science, Engineering or a similarly related field desired

Benefits:

• Immersive experiences in challenging and meaningful work with built-in continuous learning opportunities
• Direct impact on work that matters and opportunities to affect successful outcomes and drive corporate objectives
• Gain the skills and knowledge to become a future trailblazer
• Build a lasting professional network through events and activities
• Dedicated time to gain first-hand experience
• Opportunities to learn from experts and collaborate with teams that do incredible work