About the role
Assured is on a mission to modernize insurance. Claims processing (i.e., should we pay this claim?), while often overlooked, is the foundation of the entire industry. It's currently highly manual, involving phone calls, faxes, and gut instinct, costing tens of billions of dollars a year. Assured provides large insurers with the software solutions they need to win in a modern, technology-driven world — from self-service claim-filing software to backend fraud detection, powering claims processing for some of the largest insurers in the world.
About the Role:
We're looking for a Staff Data Scientist to help power the intelligence behind Assured's platform. You will work closely with product managers, engineers, and claims domain experts to build machine learning systems that automate key parts of the claims lifecycle. This is a high-impact technical leadership role focused on building models that improve decision-making, automation, and operational efficiency.
You will:
Design models and systems that help automate and optimize claims handling, including liability prediction, fraud detection, and document & image understanding
Partner with product and engineering teams to translate claims workflows into ML solutions
Prototype production-ready models and data pipelines
Dive deep on early-stage products to scale product-market fit
Help shape the data science roadmap and architecture across Assured's platform
What we're looking for
Experience as a Staff or Principal Engineer with a focus on data science, machine learning, or applied AI
Experience deploying production ML systems
Strong skills in Python, SQL, ML frameworks (PyTorch, TensorFlow, XGBoost, etc.), and modern data platforms (Snowflake, Spark, etc.)
Experience working with structured and unstructured data
Ability to translate real-world business problems into ML solutions
Experience collaborating with product and engineering teams
Experience building decision systems or automation platforms