Staff Data Scientist

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. We can do better.

At Assured, we provide 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, we’re the engine that powers claims processing for some of the largest insurers in the world.

The challenges we face are deep and diverse, from creating digital experiences that provide comfort and clarity to claimants at their most stressed and vulnerable to orchestrating large-scale ML-driven decision-making on billions of dollars of claims payments, life at Assured is dynamic, collaborative, and rewarding.

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, 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

You have…🧠 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

Our Commitment

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request accommodation.