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채용AIG

Data Scientist, GenAI

AIG

Data Scientist, GenAI

AIG

Dublin

·

On-site

·

Full-time

·

1mo ago

복지 및 혜택

Healthcare

401(k)

Learning

필수 스킬

Data Science

NLP

Generative AI

Prompt Engineering

RAG

Python

Data Scientist, GenAI

AIG is on a journey to revolutionize how insurance risk is accessed, and solutions are delivered to millions of customers globally through the use of cutting-edge technologies like Generative AI.
Over the past year and a half we have successfully delivered highly impactful, enterprise-wide Generative AI solutions into production.  Our success to date is fuelling the rapid expansion of use cases across AIG, and by extension, the need for new highly skilled and experienced candidates in the GenAI space to join our team.

This is an exceptional opportunity to join a team that is shaping the future of insurance, lead and grow a talented team of data scientists, work on cutting edge technologies, and advance your carrier.

We are seeking someone with extensive hands-on experience, as we are an applied data science team operating in an agile and production orientated environment.  Candidates who have only managerial, or architecture experience should not apply.

Your responsibilities include:

  • Development and successful delivery of data science and generative AI solutions in accordance with the business requirements.  Monitor solutions in production.

  • Collaborate with cross functional teams that comprise product managers, engineers and business leaders.

  • Build evaluation frameworks to measure LLMs efficacy, ground truth dataset quality, and guide product development roadmap

What is needed to be successful:

Required applied skills

  • 2+ years of experience in a traditional data science role, preferably in NLP, working in an agile production orientated environment.

  • 2+ years of experience with building Generative AI Solutions (Prompt engineering, designing and building RAG frameworks, validation pipelines, observability and monitoring solutions)

  • Preference will be given to candidates who have work experience on the Palantir platform or who can demonstrate certification.

Required Experience:

  • Ability to work in a fast pasted high stakes environment.

  • Ability to effectively communicate and collaborate within and across teams.

  • Highly technical and hands on team member.

At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supportive, connected environment for our team and clients alike.

Enjoy benefits that take care of what matters

At AIG, our people are our greatest asset. We know how important it is to protect and invest in what’s most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security—as well as your professional development—to bring peace of mind to you and your family.

Reimagining insurance to make a bigger difference to the world

American International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions; we are one of the world’s most far-reaching property casualty networks. It is an exciting time to join us — across our operations, we are thinking in new and innovative ways to deliver ever-better solutions to our customers. At AIG, you can go further to support individuals, businesses, and communities, helping them to manage risk, respond to times of uncertainty and discover new potential. We invest in our largest asset, our people, through continuous learning and development, in a culture that celebrates everyone for who they are and what they want to become.

Welcome to a culture of inclusion

We’re committed to creating a culture that truly respects and celebrates each other’s talents, backgrounds, cultures, opinions and goals. We foster a culture of inclusion and belonging through learning, cultural awareness activities and Employee Resource Groups (ERGs). With global chapters, ERGs are a cornerstone for our culture of inclusion. The talent of our people is one of AIG’s greatest assets, and we are honored that our drive for positive change has been recognized by numerous recent awards and accreditations.

AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories.

AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities. If you believe you need a reasonable accommodation, please send an email to candidatecare@aig.com.

Functional Area:

DT - Data:

American International Group UK Limited, Ireland Branch & AIG Europe S.A. (Ireland Branch)

총 조회수

1

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

AIG 소개

AIG

AIG

Public

American International Group, Inc. (AIG) is an American multinational finance and insurance corporation with operations in more than 80 countries and jurisdictions. As of 2023, AIG employed 25,200 people.

10,001+

직원 수

New York

본사 위치

$11.2B

기업 가치

리뷰

3.9

10개 리뷰

워라밸

3.2

보상

3.8

문화

4.1

커리어

3.4

경영진

3.3

72%

친구에게 추천

장점

Great learning and advancement opportunities

Supportive and collaborative work culture

Flexible working hours and remote work options

단점

Heavy workload and frequent overtime

Poor communication and management issues

High expectations and stressful environment

연봉 정보

0개 데이터

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Senior/L5

Staff/L6

Intern

Junior/L3 · Data Scientist

0개 리포트

$200,000

총 연봉

기본급

$200,000

주식

-

보너스

-

$170,000

$230,000

면접 경험

5개 면접

난이도

3.0

/ 5

소요 기간

14-28주

합격률

20%

경험

긍정 20%

보통 60%

부정 20%

면접 과정

1

Application Review

2

HireVue Video Interview/Recruiter Screen

3

Technical Assessment/Phone Screen

4

Panel/Hiring Manager Interview

5

Final Interview Round

6

Offer Decision

자주 나오는 질문

Behavioral/STAR

Technical Knowledge

Financial Analysis

Problem Solving

Culture Fit