Pay: Salary not listed in the saved posting
Work setup: Unconfirmed
Employment: Unconfirmed

What you’ll work on

Support the evaluation and adoption of emerging machine learning, cloud, and AI technologies, contributing ideas that improve team capabilities and business outcomes.

From the employer’s posting

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:

What you’ll bring

All qualifications

Core experience

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 experience

Proficiency in one or more programming languages, including Python (preferred) or R, and familiarity with SQL and modern data science tools and technologies.
Hands-on experience gained through coursework, internships, research, or personal projects involving machine learning, NLP, or generative AI applications.

Qualification wording

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.

Proficiency in one or more programming languages, including Python (preferred) or R, and familiarity with SQL and modern data science tools and technologies.

Hands-on experience gained through coursework, internships, research, or personal projects involving machine learning, NLP, or generative AI applications.

Education & alternatives

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:

Tools in this posting

Python
R
SQL
AWS
S3
SageMaker

Source

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.

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.

- 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.

Job description

View original posting ↗

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.

#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 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.

Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

Your next step

Have your CV and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the salary range before committing time to the process.

Complete your application on huntington.wd12.myworkdayjobs.com. The employer’s form will show what is required.

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Source & posting history

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Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay: No pay amount identified in the saved description.
Location & working pattern: Columbus, OH
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.
Work authorization: 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.

Open source at huntington.wd12.myworkdayjobs.com ↗Read the full description ↓