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AIG

Data Scientist, GenAI

  • Office

Salary

Not stated

Similar roles pay £70K - 90K a year · our estimate

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Description

The company is moving its insurance risk work toward Generative AI, and its GenAI solutions already run in production across the business, with more use cases in progress.

The team is hiring data scientists with GenAI experience to join and to lead and grow a group of data scientists.

The team works on cutting-edge technology and includes product managers, engineers and business leaders.

Responsibilities

  • Design and deliver data science and generative AI solutions that meet business requirements, and monitor them once they are in production.
  • Work with product managers, engineers and business leaders across functions.
  • Build evaluation frameworks that measure LLM effectiveness and ground truth dataset quality, and use the results to shape the product roadmap.

Requirements

  • Hands-on experience building Generative AI solutions, such as prompt engineering, RAG frameworks, validation pipelines, and observability and monitoring tools.
  • Experience in a traditional data science role, ideally using Python, in an agile production environment, including defect triage, root cause analysis and fixes.
  • Palantir platform experience or certification is preferred.
  • Strong communication and collaboration skills within and across teams.
  • Highly technical and hands-on.

Conditions

Most of your time is expected in the office, since in-person collaboration is central to how the company works.

Equal opportunity is offered to all qualified candidates regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or other legally protected status.

Benefits

  • A Total Rewards Program covering health, wellbeing, financial security and professional development, extending beyond work to support you and your family.

Where you’d work

From the office

About the company

AIG

  • Industry: FinTech

Offices in London, United Kingdom, United Kingdom

Also hiring in United States, New York, United States, Dublin, Ireland and 7 more places

1 of their 9 open roles is remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 19 checks run
  • 2 red flags

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1 red flag

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  • Must-haves
Details10 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • LLMs
  • RAG
Type
Full-time
Industry
FinTech
Specialty
Data Science
Region
United Kingdom
Pay period
Annual
Show 4 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Science
Tech stack
  • Python
  • LLMs
  • RAG

Location

Work model
Office
Region
United Kingdom
Offices
  • London, United Kingdom
  • United Kingdom

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
FinTech

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