Data Scientist - Machine Learning Focus

Huntington National Bank; North Carolina; On-site; USD 140,000 - 170,000; Full time

Job summary

Huntington National Bank's AI Center of Excellence seeks a Lead Data Scientist with deep expertise in ML, NLP, and AI to design, develop, and deploy models accelerating innovation and strategic decisions.

You will collaborate with product owners, manage end-to-end AI lifecycle across on‑prem and AWS, and stay current with emerging AI tech, building scalable self‑service tools for the organization.

Qualifications

• PhD or Master’s degree in Statistics, Economics, Data Science, or related field.
• Minimum of 3 years related work experience in AWS cloud machine learning or a similar AI platform.
• Experience with LLMs, RAG methods, agentic AI, and related workflows.

Responsibilities

• Collaborate with Product Owner to manage end-to-end AI development lifecycle across requirements, data sourcing, model development, POC demos, risk reviews and production deployment.
• Demonstrate self-discipline and ownership, maintaining transparent communication with leadership and surfacing risks or blockers to ensure timely delivery.
• Apply automation to streamline manual processes and develop reusable, scalable 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

LLMs

vector databases

embeddings

prompt engineering

RAG

Agentic AI

AWS Bedrock

Textract

JumpStart

Education

PhD or Master’s degree in Statistics, Economics, Data Science, or related field

Tools

AWS Sagemaker

AWS Lambda

AWS S3

AWS Athena

Job description

Description

The AI Center of Excellence (CoE) is seeking a highly skilled Lead Data Scientist with deep expertise in modern AI technologies. The ideal candidate will apply advanced knowledge in machine learning, natural language processing, and artificial intelligence to design, develop, and deploy models that accelerate innovation and support strategic decision‑making. As part of the Enterprise Data and Analytics organization, the AI CoE drives measurable impact across the business through outcome‑focused project execution.

Key Responsibilities

Collaborate with the Product Owner to manage the end‑to‑end AI development lifecycle—requirements gathering, data sourcing, model development, proof‑of‑concept demonstrations, risk governance reviews, and production deployment across both on‑premises and AWS environments.

Demonstrate strong self ‑ discipline and professional ownership in managing project activities, maintaining transparent communication with leadership, seeking managerial guidance when appropriate, and proactively surfacing risks, blockers, or resource needs to ensure timely delivery.

Apply automation techniques to streamline manual processes, enhance productivity and accuracy, and develop reusable, scalable self‑service tools and assets.

Stay current with emerging machine learning, cloud, and AI technologies , driving innovation by evaluating and integrating new capabilities into existing workflows and products.

Basic Requirements

PhD or Master’s degree in Statistics, Economics, Data Science, or related field.

Minimum of 3 years related work experience in AWS cloud machine learning or a similar AI platforms, with familiarity in AWS Sagemaker, Lambda, S3, Athena, etc.

Preferred Skills:

• Proficiency in one or more programming languages, including Python (preferred) or R, Spark, and other modern data science tools.
• Working knowledge of Large Language Models (Llama, Claude, Titan), including experience with frameworks such as LangChain, vector databases, embeddings, and prompt engineering.

Willingness to step outside traditional modeling tasks to solve broader technical or business challenges in support of team and organizational goals.

Hands‑on experience with LLM fine‑tuning

Practical understanding of advanced Retrieval‑Augmented Generation (RAG) methods such as MMR, multi‑vector retrieval, RAG‑fusion, HYDE, self‑RAG, and retrieval evaluation frameworks.

Knowledge and practical experience with Agentic AI and agentic workflows, including task orchestration, multi‑agent collaboration, tool‑use agents, and workflow automation patterns.

Hands‑on experience with advanced AWS AI/ML services such as Bedrock, JumpStart, Textract, and related ML orchestration capabilities.

#LI-NG1

#LI-Onsite

Exempt Status: (Yes= not eligible for overtime pay) ( No = eligible for overtime pay)

Yes

Workplace Type:

Office

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds: in‑office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington’s Career Web Site for more details.