The DDSI team sits at the intersection of business strategy, advanced analytics, and technology integration to help our partners explore opportunities for analytics, shape business decisions, and drive value.
Compensation
$80-$88/hr
Responsibilities
Achieve business goals and objectives—Research and develop decision science models and act as a consultant to all business units
Pursue innovation—Conduct research on analytical techniques and translate that research into usable and sustainable solutions for users
Put your skills to the test—Perform data collection and data mining, and build state-of-the-art decision science algorithms, tools, and systems
Drive value—Model and analyze revenue management and pricing related issues using various mathematical, statistical, and simulation techniques
Tell the story—Present science results to business partners and clients
Requirements
Master's or Ph.D. degree in Statistics, Operations Research, Industrial Engineering, Mathematics, Machine Learning, Econometrics, or related field
Build high-performing analytics teams and deliver smarter product pricing decisions for the Auto line within the Personal Insurance Loss and Demand Modeling team.
Locations (4)
Columbus, Ohio, United States
Chicago, Illinois, United States
Hartford, Connecticut, United States
Charlotte, North Carolina, United States
Compensation
$81,040 - $121,560
Responsibilities
Develop and evaluate predictive modeling solutions that support the personal auto class plan, unconstrained loss models, and customer demand models.
Evaluate new data sources and modeling approaches to boost product performance. Engineer features to uncover additional signal for our models.
Support model implementations with state Departments of Insurance (DOI), serving as a subject matter expert on the models you build and responding to DOI queries.
Maintain a portfolio of repositories and scripts and suggest improvements to workflows. Assist in the modernization of model deployments using our cloud-based MLOps tools.
Collaborate with team members to plan and deliver projects in an Agile framework.
Requirements
Master's degree in Statistics, Data Science, Mathematics, Actuarial Science, Economics, Engineering, Physics, or similar analytical field
Nice to have: experience in the insurance industry
ManagerEXL · India