Time since we first saw it
Day 84
Up longer than most. Similar jobs usually come down between day 6 and day 69.
From 4,301 similar postings that came down. Coming down is not always a hire.
Data Scientist, GenAI
Reads like a ML Engineer role: putting models into production.
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDevelop data science and generative AI solutions to meet business requirements
Monitor solutions in production
Build evaluation frameworks to measure LLM efficacy and ground truth dataset quality
Collaborate with product managers, engineers and business leaders
From the employer’s posting
Develop delivery of data science and generative AI solutions in accordance with the business requirements.
Monitor solutions in production.
Build evaluation frameworks to measure LLMs efficacy, ground truth dataset quality, and guide product development roadmap
Collaborate with cross functional teams that comprise product managers, engineers and business leaders.
What you’ll bring
All qualificationsCore experience
- Experience building Generative AI solutions (prompt engineering, RAG, validation, monitoring)
- Traditional data science experience, preferably in Python
- Experience in agile production environments, including defect triage, RCA and fixes
- Ability to communicate and collaborate across teams
Preferred experience
- Experience on the Palantir platform or certification
Qualification wording
Experience with building Generative AI Solutions (Prompt engineering, designing and building RAG frameworks, validation pipelines, observability and monitoring solutions)
Experience in a traditional data science role, preferably in python
working in an agile production orientated environment, handling defect triage/ RCA/Fix.
Ability to effectively communicate and collaborate within and across teams.
Preferred experience on the Palantir platform or who can demonstrate certification.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 11, 202684 days ago
- Recorded sightings
- 174
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
American International Group is hiring
15 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Takes jobs down at a usual pace
- 7% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
Where the posting names them
- Experience with building Generative AI Solutions (Prompt engineering, designing and building RAG frameworks, validation pipelines, observability and monitoring solutions) - Experience in a traditional data science role, preferably in python, working in an agile production orientated environment, handling defect triage/ RCA/Fix. - Preferred experience on the Palantir platform or who can demonstrate certification.
Your next step
Complete your application on aig.wd1.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
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- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Has American International Group posted this job before?
Yes. We’ve followed one other Data Scientist, GenAI job there since April 2026. It is still up.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Join us as a GenAI Data Scientist to take your career to the next level with a global market leader.
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.
How you will create an impact
- Develop 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 you’ll need to succeed
- Experience with building Generative AI Solutions (Prompt engineering, designing and building RAG frameworks, validation pipelines, observability and monitoring solutions)
- Experience in a traditional data science role, preferably in python, working in an agile production orientated environment, handling defect triage/ RCA/Fix.
- Preferred experience on the Palantir platform or who can demonstrate certification.
- Ability to effectively communicate and collaborate within and across teams.
- Highly technical and hands on team member
Ready to take your career to the next level? We would love to hear from you.
#LI-AIG
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:
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- Pay
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- Location & working pattern
London
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- Work authorization
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