Data Scientist

Huntington National Bank; Columbus (OH); On-site; USD 90,000 - 130,000; Full time

Job summary

Huntington National Bank’s AI Center of Excellence seeks a Data Scientist to apply ML, NLP, and AI methods for design, development, and deployment of models delivering business value. You will collaborate with product owners, data scientists, engineers, and stakeholders across the AI lifecycle in both on‑prem and AWS environments.

Required are a Master’s or Bachelor’s in a relevant field with experience, strong Python/SQL skills, and an interest in cloud AI technologies.

Qualifications

• Master’s degree with 1+ years' experience or Bachelor’s degree with 5 years’ experience in relevant fields.
• Proficiency in Python (preferred) or R, SQL familiarity, and modern data science tools.

Responsibilities

• Collaborate with Product Owners, Data Scientists, Data Engineers, and stakeholders across the AI lifecycle.
• Lead model development, testing, and production deployment in on‑prem and AWS environments.
• Apply analytical techniques to improve processes and develop reusable tools and assets.
• Stay abreast of emerging ML and cloud AI technologies and contribute ideas for business impact.

Skills

Python

SQL

ML concepts

Communication

AWS cloud

Education

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

Bachelor’s degree in computer science, statistics, economics or related fields

Tools

SageMaker

Lambda

S3

Athena

Job description

Data Scientist

The AI Center of Excellence (CoE) is seeking a motivated Data Scientist with an interest in modern AI technologies. The ideal candidate will apply foundational knowledge in machine learning, natural language processing, and artificial intelligence to support the design, development, and deployment of models that drive innovation and business value. As part of the Enterprise Data and Analytics organization, the AI CoE delivers impactful AI solutions that support strategic business initiatives across the enterprise.

Key Responsibilities

• Collaborate with Product Owners, peer Data Scientists, Data Engineers, and business stakeholders to support various stages of the AI development lifecycle, including requirements gathering, data sourcing, model development, testing, proof-of-concept demonstrations, governance activities, and production deployment across both on-premises and AWS environments.
• Demonstrate strong initiative, accountability, and effective communication while managing assigned project tasks, seeking guidance when appropriate, and proactively identifying potential risks, challenges, or support needs.
• Apply analytical and automation techniques to improve processes, enhance productivity and accuracy, and contribute to the development of reusable tools, workflows, and assets.
• Support the evaluation and adoption of emerging machine learning, cloud, and AI technologies, contributing ideas that improve team capabilities and business outcomes.

Basic Requirements

• Master’s degree in computer science, statistics, economics or related fields with 1+ years' experience in relevant field OR bachelor’s degree in computer science, statistics, economics or related fields and 5 years of relevant work experience.

Preferred Skills

• Proficiency in one or more programming languages, including Python (preferred) or R, and familiarity with SQL and modern data science tools and technologies.
• Foundational understanding of machine learning concepts and model development.
• Strong analytical, problem-solving, communication, and collaboration skills.
• Exposure to AWS cloud technologies through coursework, internships, research, or professional experience, with familiarity in services such as SageMaker, Lambda, S3, Athena, or similar platforms.
• Hands-on experience gained through coursework, internships, research, or personal projects involving machine learning, NLP, or generative AI applications.
• Interest in emerging AI technologies, including agentic AI concepts, workflow automation, and AI-powered productivity solutions.

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 will not sponsor applicants for this position for immigration benefits, including but not limited to assisting with obtaining work permission for F-1 students, H-1B professionals, O-1 workers, TN workers, E-3 workers, among other immigration statuses. Applicants must be currently authorized to work in the United States on a full-time basis.

Huntington is an Equal Opportunity Employer.

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