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Fall 2024 Data Science/Predictive Modeler Intern

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Plymouth Rock Assurance

Aug 7

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship

Requirements

  • 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 and 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.
  • Knowledge of auto insurance will be a plus.
  • Experience developing and implementing multivariate predictive models using GLM and other statistical methods preferred.
  • Masters in economics, statistics, or related field required, PhD preferred.

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.

FAQs

What is the primary goal of the Fall 2024 Data Science/Predictive Modeler Intern?

The primary goal of the intern is to conduct the full cycle of development for advanced analytical models that enable future growth and profitability for the company's book of business.

What kind of projects will the intern be working on?

The intern will work on projects that involve data mining, data cleansing, predictive model construction, and validation, with applications in pricing, underwriting, marketing, operations, and claims.

What qualifications are required for this internship?

Candidates should have a Master's degree in economics, statistics, or a related field, with a PhD preferred. Strong skills in predictive modeling, data mining, and programming languages such as Python, SAS, SQL, or R are also required.

Is knowledge of auto insurance necessary for this position?

While knowledge of auto insurance is a plus, it is not explicitly required for the position.

What analytical techniques should the intern be familiar with?

The intern should be familiar with techniques such as Generalized Linear Models (GLM), Bayesian methods, machine learning techniques, and other quantitative analytics.

Will the intern be required to communicate with both technical and non-technical audiences?

Yes, excellent written and oral communication skills are necessary, as the intern will need to communicate findings to diverse audiences.

Is hands-on experience required for this internship?

Yes, the internship requires hands-on modeling experience and a strong understanding of various quantitative analytics methods.

Are there any specific programming skills needed for this role?

Strong programming skills in Python, SAS, SQL, R, or other programming languages, along with the ability to build code and algorithms, are essential for this role.

What opportunities for learning and development does this internship offer?

The internship provides a unique opportunity to explore and apply advanced analytical techniques while making tangible impacts on the business, as well as the chance to collaborate with business unit leaders and gain insights into insurance concepts and processes.

What is the reputation of The Plymouth Rock Company in the industry?

The Plymouth Rock Company has built an unparalleled reputation for service and holds an A.M. Best rating of “A-/Excellent,” indicating strong financial stability and a commitment to quality.

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Plymouth Rock Assurance

Plymouth Rock. Get more from your Auto and Home Insurance.

Finance
Industry
1001-5000
Employees
1983
Founded Year

Mission & Purpose

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. Well, you’ve come to the right place. Insurance Customer In just 35 years, Plymouth Rock Assurance has grown to be one of the leading auto and home insurers in the Northeast. With unique features like Crashbusters® mobile claims vans, Door to Door Valet Claim Service®, the Get Home Safe® taxi and rideshare benefit, Road Rewards® and our Home Insurance Quick Quote, we’re committed to delivering our customers “More Than Just Insurance.”

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