Data Scientist

Required skills:

Databricks, Apache Spark

This enterprise AI company develops decision-making solutions for the global insurance sector. The platform leverages agentic AI to automate and optimize complex workflows, including fraud detection, claims processing, and payment integrity. With a large, specialized data science organization, the firm provides scalable tools to help insurers improve operational efficiency and decision accuracy through advanced machine learning and data processing.

• Build multi-modal data pipelines optimized for large language models and document understanding.
• Design and deploy LLM-based solutions including retrieval-augmented generation (RAG), embeddings, and instruction tuning for claims processing.
• Develop minimum viable products for agentic AI systems using modern orchestration frameworks and model SDKs.
• Create custom interfaces and tools that allow AI agents to query internal databases and integrate with external APIs.
• Establish rigorous evaluation frameworks to ensure AI-driven decisions are unbiased, explainable, and compliant with legal standards.
• Implement responsible AI practices to mitigate hallucinations and maintain data privacy across all deployed models.
• Lead technical workshops with clients to present prototypes, gather feedback, and define product roadmap priorities.

• 3+ years of experience in data science specifically within the healthcare insurance payment integrity domain.
• Expertise in production-level object-oriented programming for building scalable, reliable systems.
• Hands-on experience with Large Language Models (LLMs) and generative AI techniques, including RAG and prompt engineering.
• Strong foundation in the full machine learning lifecycle, including model evaluation, monitoring, and production deployment.
• Proven ability to design data pipelines for document processing, OCR, and multi-modal workflows.
• Experience integrating agentic frameworks with cloud-hosted models.
• Demonstrated proficiency in client engagement and translating business needs into technical solutions.

• Expertise in the Databricks ecosystem, including data cataloging and delta lake architectures.
• Familiarity with distributed data processing and Spark architecture.
• Experience using lifecycle management tools for experiment tracking, prompt engineering, and model evaluation.

A leading AI platform for the insurance industry, combining generative, agentic, and predictive AI to transform underwriting, claims, fraud detection, and risk assessment. The platform drives operational efficiency, enhances customer experiences, and delivers measurable business impact sted by global insurers, it delivers AI solutions where and when they matter most.

The engineering team sits at the core of this impact, tackling complex technical challenges and building high-performance systems. Teams collaborate closely across functions and product areas, working together to solve problems and continuously improve the platform. This is an environment suited for individuals who are motivated by ownership, collaboration, and solving meaningful technical challenges.

This global technology firm provides an AI-native platform designed for the insurance industry. The platform automates and optimizes decision-making across the policy lifecycle, focusing on risk assessment, fraud management, and compliance. By leveraging specialized data science expertise, the company delivers explainable AI solutions that help major insurers and associations worldwide improve operational efficiency and payment integrity.

The culture is rooted in innovation, trust, and a shared mission to modernize the insurance industry through a robust SaaS platform. With a globally distributed team spanning 50+ countries, the organization brings together diverse perspectives to shape the future of insurance.

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