Lead Data Scientist: AI/ML & LLMs, AWS, Remote

Huntington National Bank; Columbus (OH); Hybrid; USD 140,000 - 230,000; Full time

Job summary

Huntington National Bank is seeking a Lead Data Scientist to join the AI Center of Excellence within the Enterprise Data and Analytics organization. The role focuses on designing, developing, and deploying advanced AI/ML/NLP solutions across on-prem and AWS environments to drive strategic decision-making and innovation.

The candidate will lead end-to-end AI projects, collaborate with product owners, and stay ahead of AI tech trends, including retrieval-augmented generation, agentic AI, and

Qualifications

• Master’s degree in computer science, statistics, economics or related field.
• 5+ years of experience using statistics and machine learning to solve complex business problems, including building and deploying predictive models, data pipelines, and web scraping.

Responsibilities

• Collaborate with Product Owner to manage end-to-end AI development lifecycle including requirements, data sourcing, model development, PoC demos, risk governance, and production deployment across on-prem and AWS.
• Demonstrate self-discipline and ownership, maintain transparent communication with leadership, surface risks and blockers to ensure timely delivery.
• Apply automation to streamline manual processes, build reusable self-service tools and assets.
• Stay current with emerging ML, cloud, and AI technologies and integrate new capabilities into workflows and products.

Skills

Python

R

Spark

LangChain

vector databases

embeddings

prompt engineering

LLMs

AWS Bedrock

JumpStart

Textract

Agentic AI

multi-agent workflows

Education

Master’s degree in computer science, statistics, economics or related field

PhD in Statistics, Economics, Data Science, or related field

Tools

LangChain

vector databases

embeddings

prompt engineering

Bedrock

JumpStart

Textract

Job description

Huntington National Bank is seeking a Lead Data Scientist to join the AI Center of Excellence within the Enterprise Data and Analytics organization. The role focuses on designing, developing, and deploying advanced AI/ML/NLP solutions across on-prem and AWS environments to drive strategic decision-making and innovation.

The candidate will lead end-to-end AI projects, collaborate with product owners, and stay ahead of AI tech trends, including retrieval-augmented generation, agentic AI, and