Assurance-Risk Modeling Services-AI Data Scientist-Senior Associate

 Contribute to the development and operationalization of GenAI solutions including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, AI agents, and multi-agent systems (MAS), with solutions deployed through Palantir Foundry applications, workflows, and ontology-backed data products.

· Develop and integrate econometric and statistical models such as generalized linear models (GLMs), time-series models, and semi-parametric approaches into Foundry-based analytical pipelines and decision workflows.

· Build, train, and deploy machine learning models including XGBoost, random forests, and support vector machines, leveraging Foundry’s Spark / PySpark environment for scalable feature engineering, training, and inference.

· Design, build, and maintain production-grade data pipelines in Palantir Foundry, including transforms on structured and unstructured data, supporting ingestion, transformation, feature generation, model scoring, and downstream analytics.

· Leverage Python, PySpark, SQL, and Foundry tooling for large-scale data processing, integration, and automation across diverse internal and external data sources.

· Support Foundry ontology design and implementation, contributing data engineering and modeling context and building pipelines that back ontology objects and links aligned to FMRE business and application requirements.

· Ensure data quality, lineage, governance, and security across Foundry datasets and pipelines, enabling auditability, traceability, and regulatory review.

· Support compliance with model risk management and AI governance standards including SR 11-7, Colorado SB21-169, NIST frameworks, ISO 42001, and NAIC Model Bulletins throughout model development, validation, deployment, and monitoring.

· Apply DevOps and MLOps best practices including Git-based version control, CI/CD pipelines, automated testing, infrastructure-as-code, and system monitoring in collaboration with Foundry, cloud, and data engineering teams.

· Design, deploy, and support AI and analytics solutions in real-world client environments, integrating models with Foundry-powered applications, dashboards, and operational workflows.

· Monitor and research emerging AI, GenAI, and data-platform trends, incorporating new Palantir Foundry capabilities and best practices into solution design.

· Support project delivery and client engagements, using Foundry to process large-scale structured and unstructured data to improve business processes, operational workflows, and data-driven decision-making.

· Support documentation and technical analysis for validators, auditors, and regulators, including detailed descriptions of Foundry pipelines, ontologies, modeling logic, and controls, and communicate complex concepts clearly to non-technical stakeholders. · Collaborate with cross-functional teams including data engineers, architects, and data scientists to deliver scalable, high-quality Foundry-enabled AI and analytics solutions aligned to client needs.

· Support business development activities, including technical solutioning, participation in sales cycles, and contribution to proposals highlighting Palantir-enabled AI, analytics, and decision-intelligence capabilities.

· Contribute to the development of internal GenAI assets and foundational platforms, building reusable Palantir Foundry pipelines, ontologies, and analytics components to scale the firm’s practice.