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Gradient AI is a decision-intelligence platform serving the insurance industry. The company leverages a vast industry data lake—tens of millions of policies and claims enriched with economic, health, geographic, and demographic signals—to help customers reveal risk and translate it into stronger performance. Backed by $56M in Series C funding, Gradient AI is scaling rapidly with customers including carriers, brokers, consultants, and specialized insurance organizations.
As Principal Data Scientist, you will lead the organization's most complex and high-impact modeling and analytical initiatives. You are a recognized technical authority who will set modeling strategy across the organization, drive novel work, and raise the technical standard for how the company builds and ships models.
Key responsibilities include:
- Leverage modern deep learning, large language models, and traditional data science techniques to create powerful hybrid models with real business uplift
- Brainstorm, prototype, prove, deploy, and realize the value of your work in market quickly
- Solve world-class problems: big data, federated learning, unstructured data challenges, timeseries and sequence modeling
- Work across a spectrum of techniques from GLMs and XGBoost to Transformers
- Mentor and guide the data science team, raising technical standards
- Translate complex analytical work into clear, actionable insights for stakeholders
This is a fully remote role with hybrid availability for those local to Boston. You will join a world-class data science team working on high-impact problems in a fast-growing, well-funded company.
