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Woodbridge, NJ

Internship

Onsite

Intern

The Plymouth Rock Company is a reputable insurance provider managing over $2 billion in personal and commercial insurance. They are seeking a Data Science/Predictive Modeler Intern to conduct the full cycle of developing advanced analytical models to support various business areas, contributing to operational enhancements and profitability.

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Responsibilities

Performs data mining and data cleansing tasks.
Prepare datasets for modeling through balancing and validation.
Produces predictive models which enable the creation of rating plans and evaluation of risk.
Assists decision makers with studies that evaluate new business models to evaluate customers’ profitability including customers and/or risk segmentation, retention and lifetime value modeling.
Hands-on modeling experience and deep understanding of both conventional quantitative analytics such as GLM, GLMM, Bayesian statistics, Actuarial methods and tree-based machine learning techniques like GBM, Random Forest, NLP, Topics Model and Deep Learnings
Communicates to diverse audiences, including technical and non-technical.
Manages projects of moderate complexity.
Supports modeling requests made by other departments.
Works closely with others to gain strong understanding of insurance concepts and processes.
Perform other job-related duties as assigned.

Qualification

Required

Broad thinker with the ability to synthesize information from various sources and apply that information to concrete business problems.
Strong decision-making skills.
Solid skills and training in predictive modeling, data mining and other quantitative and research analytics (Multivariate Analysis, Bayesian Methods, Generalized Linear Models, Non-Linear Models, Decision Trees, Non-Parametric estimation, Machine learning techniques etc.).
Strong programming ability in Python, SAS, SQL, R or other programming languages.
Proficiency in scripting languages and ability to build code and algorithms to tackle statistical problems.
Excellent written and oral communication and presentation skills.
Self-starter, critical thinking and strong individual contributor.
Solid understanding of database principles and experience working with large databases.
Masters in economics, statistics, or related field required.

Preferred

Experience developing and implementing multivariate predictive models using GLM and other statistical methods
Knowledge of auto insurance
PhD in economics, statistics, or related field

Benefits

If you’ve found your way to our LinkedIn page, you’re likely here for one of two reasons: You’re reviewing insurance companies or you’re browsing new career opportunities.

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