Data Scientist, GenAI
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Job description
Experteer Overview In this role, you drive the delivery of Generative AI and data science solutions to support insurance risk management. You will work closely with cross-functional teams to translate business needs into production-ready models and systems. You monitor deployed solutions and shape the product roadmap through rigorous evaluation of LLMs and data quality. This is a high-impact position at a global insurer pushing GenAI at scale, offering leadership and technical influence. Pay / Benefits * Deliver data science and GenAI solutions aligned with business requirements * Monitor and maintain production AI systems * Collaborate with product managers, engineers and business leaders * Develop evaluation frameworks to measure LLM efficacy and data quality to inform roadmap Tasks * Experience building Generative AI solutions (prompt engineering, RAG, validation pipelines, observability) * Strong background in Python-based data science in an agile, production-focused environment (defect triage, RCA, fixes) * Palantir experience or certification is preferred * Ability to operate in fast-paced, high-stakes environments * Effective communication and cross-functional collaboration * Hands-on, highly technical team member Key requirements * Total Rewards Program * health, wellbeing and financial security focus * professional development * in-person collaboration * inclusive culture * recognition and awards
Requirements
Experteer Overview In this role, you drive the delivery of Generative AI and data science solutions to support insurance risk management. You will work closely with cross-functional teams to translate business needs into production-ready models and systems. You monitor deployed solutions and shape the product roadmap through rigorous evaluation of LLMs and data quality. This is a high-impact position at a global insurer pushing GenAI at scale, offering leadership and technical influence. Pay / Benefits * Deliver data science and GenAI solutions aligned with business requirements * Monitor and maintain production AI systems * Collaborate with product managers, engineers and business leaders * Develop evaluation frameworks to measure LLM efficacy and data quality to inform roadmap Tasks * Experience building Generative AI solutions (prompt engineering, RAG, validation pipelines, observability) * Strong background in Python-based data science in an agile, production-focused environment (defect triage, RCA, fixes) * Palantir experience or certification is preferred * Ability to operate in fast-paced, high-stakes environments * Effective communication and cross-functional collaboration * Hands-on, highly technical team member Key requirements * Total Rewards Program * health, wellbeing and financial security focus * professional development * in-person collaboration * inclusive culture * recognition and awards
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