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AIG

Underwrites insurance for businesses and individuals

Data Scientist - GenAI

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • Experience building Generative AI solutions, including prompt engineering, designing and building retrieval-augmented generation frameworks, validation pipelines, observability, and monitoring solutions.
  • Experience in a traditional data science role, preferably using Python, in an agile, production-oriented environment, handling defect triage, root cause analysis, and fixes.
  • Ability to effectively communicate and collaborate within and across teams.
  • Be a highly technical and hands-on team member.

Responsibilities

  • Develop data science and generative AI solutions in accordance with business requirements and monitor solutions in production.
  • Collaborate with cross-functional teams comprising product managers, engineers, and business leaders.
  • Build evaluation frameworks to measure large language model efficacy and ground-truth dataset quality, and guide the product development roadmap.

Desired Qualifications

  • Experience with the Palantir platform or demonstrated certification.

About the Company

AIG

Underwrites insurance for businesses and individuals

AIG underwrites property and casualty insurance for businesses and individuals, covering losses from damaged assets, legal claims and personal accidents. Its commercial policies span risks such as cyberattacks, shipping losses and aviation accidents, while personal coverage includes accident and health insurance and protection for valuable homes. Brokers and agents connect clients with insurers that assess risks, set premiums and handle claims under each policy's terms. The group earns insurance premiums and investment income on assets held to meet future claims. Its operating roots date to Shanghai in 1919, and its headquarters are in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1919

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