AI/ML Engineer

EXL•Jersey City, NJ
•$100,000 - $140,000

About The Position

We have a requirement for a Senior Data Scientist / AI-ML Engineer with 6+ years of relevant experience. The posted salary range is $100,000 - $140,000, which is the hiring range for this role. Final offers are determined by factors such as candidate skills and experience, internal pay equity, work location, market conditions, and the specific scope of the position. For roles in higher-cost areas like California, New York, or New Jersey, compensation may exceed the posted range. More information on benefits can be found at https://www.exlservice.com/us-careers-and-benefits.

Requirements

  • 6+ years of relevant experience
  • Strong hands-on expertise in AI/ML, Data Science, Python, SQL, and Git/GitHub.
  • Proven experience building end-to-end data science and predictive modeling solutions, from problem definition through deployment.
  • Strong understanding of Property & Casualty (P&C) Insurance business processes.
  • Ability to translate complex business challenges into practical AI/ML and analytical solutions.
  • Strong focus on business outcomes and measurable impact, beyond model development.
  • Experience applying AI/ML solutions in areas such as: Pricing, Risk Segmentation, Underwriting Decision Support, Forecasting, Operational Optimization.
  • Strong GitHub and software engineering practices including: Version Control, Code Reviews, Documentation, Testing, Reusable Code Development.
  • Excellent communication skills with the ability to present technical concepts to business and non-technical stakeholders.
  • Ability to work as a senior independent contributor, driving initiatives end-to-end with minimal support.
  • Experience leading: Business Discovery, Data Assessment, Model Development & Validation, Deployment, User Adoption.
  • Bachelor's in Computer science, engineering or any related field

Responsibilities

  • Strong hands-on expertise in AI/ML, Data Science, Python, SQL, and Git/GitHub.
  • Proven experience building end-to-end data science and predictive modeling solutions, from problem definition through deployment.
  • Strong understanding of Property & Casualty (P&C) Insurance business processes.
  • Ability to translate complex business challenges into practical AI/ML and analytical solutions.
  • Strong focus on business outcomes and measurable impact, beyond model development.
  • Experience applying AI/ML solutions in areas such as: Pricing, Risk Segmentation, Underwriting Decision Support, Forecasting, Operational Optimization.
  • Strong GitHub and software engineering practices including: Version Control, Code Reviews, Documentation, Testing, Reusable Code Development.
  • Excellent communication skills with the ability to present technical concepts to business and non-technical stakeholders.
  • Ability to work as a senior independent contributor, driving initiatives end-to-end with minimal support.
  • Experience leading: Business Discovery, Data Assessment, Model Development & Validation, Deployment, User Adoption.

Benefits

  • Base Compensation Range: 100,000 - 140,000
  • Broader range available to employees over time
  • Compensation may exceed the posted range in higher-cost zones (e.g., California, New York, New Jersey)
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