AI/ML Engineer for Insurance Analytics & Modeling

James Search Group

New York (NY)

On-site

USD 135,000 - 175,000

Full time

5 days ago
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Job summary

James Search Group is seeking an AI/ML Engineer to join their enterprise Data and Artificial Intelligence division in a role focused on building and deploying predictive models that drive decision-making across underwriting, claims, and customer engagement.

The candidate will collaborate with senior team members to refine intelligent systems and translate complex data into practical business solutions, with a strong emphasis on analytics and communication.

Qualifications

  • Master’s degree or PhD in a quantitative field; strong analytics background.
  • 2+ years applying advanced analytics methods (e.g., decision trees, logistic regression, neural nets).
  • Proficiency in R or Python for analytics and model development with structured/unstructured data.
  • Experience managing large, complex datasets and end-to-end data modeling processes.
  • Strong written and verbal communication, linking outputs to business strategy.

Responsibilities

  • Support development and deployment of AI/ML models including classification, forecasting, uplift and propensity modeling.
  • Collaborate with cross-functional teams to identify data science use cases that boost efficiency and performance.
  • Partner with business, IT, and strategy to ensure AI models are scalable and aligned with goals.
  • Communicate analytical findings clearly to stakeholders with varying technical levels.

Skills

Analytical thinking
Communication

Education

Master’s degree in Data Science/Statistics/CS
Ph.D. a plus

Tools

R
Python

Job description

James Search Group is seeking an AI/ML Engineer to join their enterprise Data and Artificial Intelligence division in a role focused on building and deploying predictive models that drive decision-making across underwriting, claims, and customer engagement.

The candidate will collaborate with senior team members to refine intelligent systems and translate complex data into practical business solutions, with a strong emphasis on analytics and communication.

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