AI/ML Engineer

Overview

On Site
USD 135,000.00 - 175,000.00 per year
Full Time

Skills

Property And Casualty Insurance
HIS
Writing
Predictive Modelling
Data Mining
Algorithms
Optimization
Continuous Improvement
Change Management
Deep Learning
Forecasting
Modeling
Evaluation
Underwriting
Risk Assessment
Customer Service
Collaboration
Scalability
Statistics
Mathematics
Computer Science
Research
Decision Trees
Logistic Regression
Regression Analysis
Neural Network
R
Python
Advanced Analytics
Customer Relationship Management (CRM)
Data Modeling
Workflow
Communication
Analytics
Artificial Intelligence
Machine Learning (ML)
Financial Services
Actuarial Science
Data Science
Insurance
Law
Training
EP
Training And Development
AIM

Job Details

Starr Insurance Companies is a leading insurance and investment organization, providing commercial property and casualty insurance, including travel and accident coverage, to almost every imaginable business and industry in virtually every part of the world.

Cornelius Vander Starr established his first insurance company in Shanghai, China in 1919. Today, we are one of the world's fastest growing insurance organizations, capable of writing in 128 countries on 6 continents.

Join the Starr Enterprise Data and Artificial Intelligence Organization and start reimagining the future of insurance. The Data and AI team at Starr builds first-of-a-kind capabilities that advance the insurance practice and scale across the entire enterprise. The team's ultimate mission is to develop cutting-edge data and AI capabilities that drive profit growth for Starr.

The AI/ML engineer is responsible for uncovering meaningful data patterns and transforming them into actionable insights by leveraging predictive modeling, data mining, and machine learning algorithms. This includes propensity and uplift modeling, classification models, forecasting, foundation models, and other methodologies. This individual will work alongside Senior AI/ML Engineers to develop scalable AI/ML solutions and provide data-driven and optimization insights across the enterprise. He/she will be passionate about learning and deploying leading technologies in the analytics space specific to the business needs to drive results and identify opportunities. As an AI/ML Engineer, this person will drive business impact by solving unique problems through advanced analytics, continuous improvement methodologies, and change management in a fast-paced environment.

Key Responsibilities:
  • Work alongside Senior AI/ML Engineers to design, develop, and deploy AI/ML solutions with best practices in statistics, machine learning, deep learning, and foundational models to improve the profitability for Starr. Example includes classification models, forecasting, propensity and uplift modeling, foundational model fine-tuning, evaluation, and implementation, etc.
  • Identify growth opportunities in underwriting, claims processing, risk assessment, and/or customer service through AI/ML augmentation.
  • Collaborate cross-functionally with business, IT, and Transformation to drive scalability and impact of the AI/ML solutions.
  • Communicate complex AI/ML concepts and findings to business leaders in a clear and concise manner.

Required Professional and Technical Expertise:
  • Master's degree in Statistics, Data Science, Mathematics, Computer Science, Operational Research, or related disciplines. Ph.D. preferred.
  • 2+ years of experience with advanced analytics techniques (e.g., decision tree, logistic regression, hierarchical regression, neural network, random forest, etc.)
  • 2+ years expert level R or Python analytics experience with a proven track record in advanced analytics as well as hands-on experience with digital and CRM data (structured and unstructured).
  • Proven ability to understand, cleanse, and integrate massive disparate data sets and demonstrated familiarity with data modeling workflow.
  • Strong communication; ability to effectively translate complex analytics findings to business insights and recommendations.

Preferred Professional Technical Expertise:
  • Internship or project experience in AI engineering, machine learning, or a related field, preferably within the insurance or financial services industry.
  • Knowledge of actuarial science and insurance-specific data sets.
  • Passionate about data science and self-motivated to stay abreast of advances in data science techniques.
  • Desire to work in a team based dynamic and fast-paced business culture.

For individuals assigned and/or hired to work in New York, Starr Insurance Companies is required by law to include a reasonable estimate of the compensation range for this role. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets: experience and training: licensure and certifications: and other business and organizational needs. A reasonable estimate of the current range is $135,000-$175,000.

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Starr is an equal opportunity employer, which means we'll consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and we're committed to creating an inclusive environment for all employees. We offer first class training and development opportunities to all employees. Our aim is to grow our own talent and bring out the best in people.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.