Product Data Science Intern — Analytics & Modeling

Central Insurance; Van Wert (OH); On-site; USD 28,000 - 41,000; Full time

Job summary

Central Insurance invites applications for its Data Scientist Internship in the United States. The program offers immersive, problem-solving experiences, collaboration with experts, and diverse exposure across the organization.

Ideal candidates are curious, eager to learn insurance specifics, proficient in R or Python, and capable of building predictive models with SQL-driven data generation.

Qualifications

• M.S. students in Statistics, Mathematics, Economics, Computer Science, Engineering or related field desired.
• Capable of coding in either R or Python.
• Knowledge of standard predictive modeling techniques (linear and non-linear models, regression, ML methods, forecasting).
• Capable of writing SQL queries to generate datasets.

Responsibilities

• 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.
• Communicate findings through data storytelling and visualization.

Skills

R

Python

SQL

Predictive Modeling

Time Series

Education

MS in Statistics/Math/Economics/CS/Engineering

Tools

R

Python

Job description

Central Insurance invites applications for its Data Scientist Internship in the United States. The program offers immersive, problem-solving experiences, collaboration with experts, and diverse exposure across the organization.

Ideal candidates are curious, eager to learn insurance specifics, proficient in R or Python, and capable of building predictive models with SQL-driven data generation.