Top Tech Jobs & Startup Jobs in Charlotte, NC

The Applied AI Data Scientist will create and optimize ML and GenAI models, design pipelines, run experimental evaluations, and integrate solutions across cloud platforms while collaborating with teams to drive business impact.

Lead planning, forecasting, and performance analysis for P&C lines; partner with finance, actuarial, and business leaders to provide insights, govern models, automate processes, and prepare executive reporting. Drive assumptions for loss ratios, catastrophes, reinsurance analyses, and earnings prep while mentoring a team and implementing analytics and AI-enabled improvements.

Design and drive end-to-end, AI-first digital solutions and reference architectures across cloud, APIs, microservices, and front-end platforms. Provide technical leadership to agile teams, ensure security and cost-conscious modernizations, and align technology strategy with business goals.

Perform reserving studies and advise management on reserve decisions; develop monitoring tools and diagnostics; improve data quality; apply R/SQL to enhance processes; collaborate with Claims and Reserving across Financial Lines, Bond, and Credit & Political Risk.

Lead large Applied AI portfolios, ensuring value delivery through advanced AI systems while managing risks and governance across multiple teams. Collaborate with senior leaders to align AI initiatives with business outcomes and oversee effective execution of AI strategies.

The Sr. IT Business Analyst guides teams in business analysis practices, acts as a liaison between business and IT, mentors team members, and applies strategic thinking in the insurance industry.

The Assistant Director & Associate Actuary analyzes and evaluates actuarial pricing performance and develops state performance metrics. They communicate findings, create analytical tools, and enhance partnerships with various teams to improve organizational capabilities.

Lead engineering teams to drive transformation in Employee Benefits applications using Java and AWS. Design scalable technical solutions, mentor junior engineers, and implement standards for quality assurance.

Drive sales activity on consolidation quotes by engaging agents, managing contact frequency, and preparing for sales conversations to improve outcomes.

The Director of Data Science will develop statistical and machine learning models supporting actuarial pricing, lead cross-functional projects, and mentor teams while collaborating with stakeholders to align analytics with business strategies.