Lead Applied Data Scientist, GenAI at AIG

Atlanta, Georgia, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

InsuranceIndustries

Requirements

7-10 years experience in a traditional data science role, preferably in NLP, working in an agile production-oriented environment
3-5 years (minimum) experience managing teams of data scientists and/or engineers
1-2 years (minimum) experience with building Generative AI solutions (prompt engineering, designing and building RAG frameworks, validation pipelines, observability and monitoring solutions)
Extensive hands-on experience in an applied data science team (candidates with only managerial or architecture experience should not apply)
PhD or Master's in Data Science or Master's in Computer Science
Preference for work experience on the Palantir platform or relevant certification
Ability to work in a fast-paced, high-stakes environment
Ability to effectively communicate and collaborate within and across teams
Ability to act in both managerial and hands-on capacities
Highly technical and hands-on leader

Responsibilities

Oversee the development and successful delivery of data science and generative AI solutions in accordance with business requirements; monitor solutions in production
Develop technical delivery plans and execute on those plans to deliver solutions on time
Mentor and oversee junior data scientists
Collaborate with cross-functional teams comprising product managers, engineers, and business leaders
Lead and grow a talented team of data scientists

Skills

Key technologies and capabilities for this role

Generative AINLPPrompt EngineeringRAG FrameworksValidation PipelinesObservabilityMonitoring SolutionsData Science

Questions & Answers

Common questions about this position

What is the salary for this Lead Applied Data Scientist role?

This information is not specified in the job description.

Is this role remote or office-based?

The role requires team members to be primarily in the office to support in-person collaboration, which is a vital part of AIG's culture.

What skills and experience are required for this position?

Candidates need 7-10 years in data science (preferably NLP in agile environments), 3-5 years managing data science or engineering teams, and 1-2 years building Generative AI solutions like prompt engineering and RAG frameworks. A PhD or Master's in Data Science or Computer Science is required, along with extensive hands-on experience.

What is the company culture like at AIG for this team?

AIG emphasizes in-person collaboration as vital to its culture, operates in a fast-paced, high-stakes environment with agile, production-oriented data science teams focused on impactful Generative AI solutions.

What makes a strong candidate for this Lead Data Scientist role?

Strong candidates have extensive hands-on experience in applied data science, not just managerial roles, preferably with Palantir platform experience or certification, and the ability to lead teams while staying technical in a fast-paced environment.

AIG

Global insurance provider for individuals and businesses

About AIG

AIG provides a variety of insurance products and services aimed at individuals, families, and businesses. Their offerings include life insurance, retirement planning, and commercial insurance, which help clients manage risk and protect their assets. AIG operates by underwriting insurance policies and managing risk, while also investing the premiums collected to generate income. This company stands out from competitors by not only focusing on traditional insurance but also emphasizing cybersecurity and data protection to keep clients' information safe. AIG's goal is to help clients achieve financial security and peace of mind through comprehensive insurance solutions.

New York City, New YorkHeadquarters

1919Year Founded

IPOCompany Stage

Cybersecurity, Financial ServicesIndustries

10,001+Employees

Benefits

Health, dental, & vision coverage

Flexible Spending Accounts (FSA)

401(k)

PTO

Commuter Expense Reimbursement Account

Risks

Sale of personal travel business may reduce AIG's market presence in travel insurance.

Expansion in Atlanta could pose financial risks if expected growth does not materialize.

Deconsolidation of Corebridge Financial might lead to loss of synergies and increased costs.

Differentiation

AIG offers a wide range of insurance products globally, serving diverse client needs.

Corebridge Financial, a subsidiary, enhances AIG's offerings in retirement planning and financial futures.

AIG emphasizes cybersecurity and data protection, ensuring clients' information remains secure.

Upsides

AI adoption in underwriting and claims processing enhances efficiency and reduces costs for AIG.

InsurTech partnerships offer AIG opportunities to enhance digital capabilities and drive innovation.

Telematics and usage-based insurance allow AIG to offer personalized and flexible products.

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