Data Scientist, GenAI
AIG is hiring a Data Scientist, GenAI in London, United Kingdom. Level rates it ; you can apply on AIG.
Level's read on this job
- On Level's scale, this data scientist role is Builds AI ●●●●: the job is building AI systems.
- The posting mentions Python, Palantir and prompt engineering among its tools and skills.
- Level classes it as a senior role.
- AIG has 408 other open roles on Level.
AI in this role
Develop and monitor generative AI and data science solutions in production, building evaluation frameworks for LLMs.
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:
DT - DataAIG Europe S.A. (U.K. Branch) & American International Group UK LtdHow we rate this
Data Scientist, GenAI at AIG rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data scientist jobs at this level
Pay
- Typical data scientist job
- $167k
This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Tell me about a project where generative ai was part of your work. What did you do?
- Tell me about a project where mlops was part of your work. What did you do?
- Tell me about a project where data science was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, Generative AI, MLOps, and Data Science. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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