Applied Scientist

i3; New York (NY); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Annual bonus 20-25%

Comprehensive benefits

Job summary

i3 is seeking an experienced Applied Scientist to shape AI strategy in a leading global insurance organization. You will lead end-to-end AI initiatives, from concept to production, using LLMs and agentic AI to deliver measurable business value.

You will mentor data scientists, partner with engineering, and present technical recommendations to senior stakeholders, while maintaining a strong focus on responsible AI and governance.

Qualifications

• Extensive experience deploying AI/ML solutions in production.
• Strong expertise in LLMs, generative AI, RAG and prompt engineering.
• Hands-on Python and modern AI frameworks.
• Experience with model governance and responsible AI.

Responsibilities

• Lead design and development of AI/ML solutions in production.
• Mentor data scientists and provide technical leadership.
• Collaborate with engineering to deliver scalable AI systems.
• Present concepts to senior stakeholders.

Skills

Large language models

Generative AI

RAG

Prompt engineering

AI agents

Python programming

Statistics

ML frameworks

Data platforms

Explainability

Education

Postgraduate qualification in Computer Science, Mathematics, Statistics, Data Science

Tools

Databricks

MLflow

Spark

Job description

Applied Scientist (AI & Machine Learning)

We're looking for an experienced Applied Scientist to help shape the future of AI within a leading global insurance organisation. This is an opportunity to solve complex business challenges using cutting‑edge AI, machine learning, and large language models while setting technical standards for a high‑performing data science team.

You'll play a hands‑on leadership role, partnering with engineering and business stakeholders to design, build, and deploy AI solutions that deliver measurable business value.

What you'll do

• Lead the design and development of AI and machine learning solutions using LLMs, generative AI, and agentic AI.
• Solve complex business problems through advanced analytics, experimentation, and statistical modelling.
• Build production‑ready AI solutions from concept through deployment and monitoring.
• Establish best practices for model evaluation, testing, validation, and responsible AI.
• Design and improve AI systems using techniques such as prompt engineering, retrieval augmented generation (RAG), and AI agents.
• Mentor data scientists and provide technical leadership through code reviews and coaching.
• Partner with engineering teams to deliver scalable, reliable AI solutions.
• Present technical concepts and recommendations to senior business stakeholders.

What we're looking for

• Extensive experience developing AI and machine learning solutions in production environments.
• Strong expertise in large language models, generative AI, RAG, prompt engineering, and agentic AI.
• Excellent Python programming skills and experience with modern AI and data science frameworks.
• Strong foundation in statistics, machine learning, and mathematical modelling.
• Experience designing evaluation frameworks for AI systems, including model performance and monitoring.
• Hands‑on experience with Databricks, MLflow, Spark, or similar cloud‑based data platforms.
• Knowledge of responsible AI, model governance, and explainability.
• Strong communication skills with the ability to explain complex technical concepts to both technical and non‑technical audiences.
• Experience with AI agent frameworks and orchestration tools.
• Insurance or financial services experience.
• Postgraduate qualification in Computer Science, Mathematics, Statistics, Data Science, or a related discipline.
• New York, NY (Hybrid – minimum 3 days per week in the office)

Compensation

• Annual bonus: 20–25% target
• Comprehensive benefits including medical coverage, retirement plans, paid time off, wellness programmes, and tuition assistance.