AI/ML Engineer

Posted Yesterday
Jersey City, NJ, USA
Hybrid
100K-140K Annually
Senior level
Information Technology • Database • Consulting
The Role
Build and deploy end-to-end AI/ML and predictive modeling solutions for P&C insurance, including pricing, risk segmentation, underwriting decision support, forecasting, and operational optimization. Translate business challenges into measurable analytical outcomes, lead discovery through deployment independently, apply software engineering practices, and communicate technical concepts to business stakeholders.
Summary Generated by Built In

We have requirement for 1 Senior Data Scientist / AI-ML Engineer and are looking for candidates with 6+ years of relevant experience

Base Compensation Range: 100,000 - 140,000

The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits

Responsibilities

Key Requirements

  • 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

Qualifications

Bachelor's in Computer science, engineering or any related field 

Skills Required

  • 6+ years of relevant experience
  • Strong hands-on expertise in AI/ML and data science
  • Proficiency in Python and SQL
  • Proficiency with Git and GitHub
  • Experience building end-to-end data science and predictive modeling solutions from problem definition through deployment
  • Strong understanding of Property and Casualty insurance business processes
  • Ability to translate complex business challenges into practical AI/ML and analytical solutions
  • Experience applying AI/ML to pricing, risk segmentation, underwriting decision support, forecasting, or operational optimization
  • Experience with version control, code reviews, documentation, testing, and reusable code development
  • Excellent communication skills with technical, business, and non-technical stakeholders
  • Ability to work as a senior independent contributor and drive initiatives end-to-end with minimal support
  • Experience leading business discovery, data assessment, model development and validation, and deployment
  • Bachelor's degree in computer science, engineering, or a related field
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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

What We Do

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.

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