AI/ML Data Scientist - NLP, AWS, Impact

Huntington National Bank; Columbus (OH); Hybrid; USD 95,000 - 130,000; Full time

Job summary

Huntington National Bank seeks a Data Scientist to join its AI Center of Excellence in Columbus, OH. You will apply machine learning, NLP, and AI techniques to design, develop, and deploy models that drive innovation and business value.

You will collaborate with product owners, data scientists, data engineers, and stakeholders, supporting governance, production deployment, and the adoption of cloud technologies across on‑prem and AWS environments.

Qualifications

• Master’s degree in computer science, statistics, economics or related fields with 1+ years of experience or bachelor’s degree with 5 years of relevant work experience.
• Proficiency in Python or R and familiarity with SQL and data science tools.
• Foundational understanding of machine learning concepts and model development.

Responsibilities

• Collaborate with Product Owners, Data Scientists, Data Engineers, and stakeholders across the AI development lifecycle.
• Demonstrate initiative, accountability, and communication while managing project tasks and risks.
• Apply analytical and automation techniques to improve processes and build reusable tools and assets.
• Support evaluation and adoption of emerging ML, cloud, and AI technologies and contribute ideas for business impact.

Skills

Python

R

SQL

Machine learning concepts

NLP

Generative AI

Communication

Education

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

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

Tools

AWS SageMaker

AWS Lambda

AWS S3

AWS Athena

Job description

Huntington National Bank seeks a Data Scientist to join its AI Center of Excellence in Columbus, OH. You will apply machine learning, NLP, and AI techniques to design, develop, and deploy models that drive innovation and business value.

You will collaborate with product owners, data scientists, data engineers, and stakeholders, supporting governance, production deployment, and the adoption of cloud technologies across on‑prem and AWS environments.