Huntington National Bank Visa Sponsorship USA
Huntington National Bank is a major U.S. regional bank with a consistent track record of sponsoring skilled foreign nationals across banking, technology, and operations roles. For international job seekers in financial services, Huntington is a legitimate and active sponsor worth targeting in your search.
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Get Access To All JobsCompany: Huntington National Bank
Job Title: Data Scientist Intermediate to Senior Positions Available
Type: Contract to Hire
Rate: Dependent on Experience $48 to 58/hour W2 75-100k conversion salary with bonus
Location: 4 days/week Onsite in Columbus, OH 43215
Summary
Huntington Bank is seeking a passionate, data-savvy Senior Data Scientist to join the Enterprise Analytics team to fuel our mission of growth through data-driven insights and opportunity discovery. This dynamic role uses a consultative approach with the business segments to dive into our customer, product, channel, and digital data to uncover opportunities for consumer experience optimization and customer value delivery. You will also enable stakeholders with actionable, intuitive performance insights that provide the business with direction for growth. The ideal candidate will have a robust mix of technical and communication skills, with a passion for optimization, data storytelling, and data visualization. You will collaborate with a centralized team of data scientists as well as teams across the organization including Product, Marketing, Data, Finance, and senior leadership. This is an exciting opportunity to be a key influencer to the company's strategic decisions and to learn and grow with our Analytics team.
The Team:
You will be joining a team of analytics and data science professionals within the Enterprise Data & Analytics organization. Team members are highly skilled in a mixture of R, Python, SAS, SQL, Tableau, and Adobe Analytics/Target to perform modeling, visualization, and advanced analytics. Members of the team primarily support the Digital and Omnichannel organizations but are strategically positioned to partner with and support nearly every part of the company including Product, Marketing, Consumer Sales and Operations, Business and Commercial Banks, Private Client Group, Enterprise Payments, and IT. We align with our partners within the Agile development framework and support projects throughout their entire lifecycle from ideation through delivery on the largest and most visible projects undertaken at the company. This highly visible and critical role will be set in a fast-paced environment with the ability to influence not just any single project but the overall direction of the organization.
Duties and Responsibilities:
- Ability to use advanced analytics methods to extract value from business data.
- Ability to perform large-scale experimentation and build data-driven models to answer business questions.
- Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence.
- Determines requirements that will be used to train and evolve deep learning models and algorithms.
- Influences product teams through presentation of data-based recommendations.
- Performs other duties as assigned.
Basic Qualifications:
- Master's degree completed by Spring 2025 in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM degree
- or in lieu of a Master's degree, Bachelor's degree with a minimum of 3 years’ work experience in analytics or data science
- Experience with R, RStudio, Python, SAS, SQL, NoSQL
Preferred Qualifications:
- Up-to-date knowledge of machine learning and data analytics tools and techniques
- Knowledge in predictive modeling methodology
- Experienced at leveraging both structured and unstructured data sources
- Willingness and ability to learn new technologies on the job
- Work and/or educational experience conducting statistical analysis with advanced statistical software, scripting languages, and packages
- Work and/or educational experience with big data analysis tools and techniques
- Foundational knowledge of building and deploying predictive models, web scraping, and scalable data pipelines
- Understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
- Experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
- Experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
- Financial Services background
About Candidate:
A curious mind with a thirst for discovery, answers, optimization, and continuous improvement
- Excellent written and verbal communication skills with a proven ability to interact effectively across all organizational levels
- Creative thinker and problem solver, with a strong ability to manage ambiguity/complexity
- Work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
- Experience working in a consumer-centric company and with teams of technical professionals in a cross-functional environment
- Experience in banking or financial services is a plus
The salary range for this position is $48 to $58 and hour w2 (dependent on experience). Benefits available to contract/temporary professionals, include medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
Company: Huntington National Bank
Job Title: Data Scientist Intermediate to Senior Positions Available
Type: Contract to Hire
Rate: Dependent on Experience $48 to 58/hour W2 75-100k conversion salary with bonus
Location: 4 days/week Onsite in Columbus, OH 43215
Summary
Huntington Bank is seeking a passionate, data-savvy Senior Data Scientist to join the Enterprise Analytics team to fuel our mission of growth through data-driven insights and opportunity discovery. This dynamic role uses a consultative approach with the business segments to dive into our customer, product, channel, and digital data to uncover opportunities for consumer experience optimization and customer value delivery. You will also enable stakeholders with actionable, intuitive performance insights that provide the business with direction for growth. The ideal candidate will have a robust mix of technical and communication skills, with a passion for optimization, data storytelling, and data visualization. You will collaborate with a centralized team of data scientists as well as teams across the organization including Product, Marketing, Data, Finance, and senior leadership. This is an exciting opportunity to be a key influencer to the company's strategic decisions and to learn and grow with our Analytics team.
The Team:
You will be joining a team of analytics and data science professionals within the Enterprise Data & Analytics organization. Team members are highly skilled in a mixture of R, Python, SAS, SQL, Tableau, and Adobe Analytics/Target to perform modeling, visualization, and advanced analytics. Members of the team primarily support the Digital and Omnichannel organizations but are strategically positioned to partner with and support nearly every part of the company including Product, Marketing, Consumer Sales and Operations, Business and Commercial Banks, Private Client Group, Enterprise Payments, and IT. We align with our partners within the Agile development framework and support projects throughout their entire lifecycle from ideation through delivery on the largest and most visible projects undertaken at the company. This highly visible and critical role will be set in a fast-paced environment with the ability to influence not just any single project but the overall direction of the organization.
Duties and Responsibilities:
- Ability to use advanced analytics methods to extract value from business data.
- Ability to perform large-scale experimentation and build data-driven models to answer business questions.
- Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence.
- Determines requirements that will be used to train and evolve deep learning models and algorithms.
- Influences product teams through presentation of data-based recommendations.
- Performs other duties as assigned.
Basic Qualifications:
- Master's degree completed by Spring 2025 in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM degree
- or in lieu of a Master's degree, Bachelor's degree with a minimum of 3 years’ work experience in analytics or data science
- Experience with R, RStudio, Python, SAS, SQL, NoSQL
Preferred Qualifications:
- Up-to-date knowledge of machine learning and data analytics tools and techniques
- Knowledge in predictive modeling methodology
- Experienced at leveraging both structured and unstructured data sources
- Willingness and ability to learn new technologies on the job
- Work and/or educational experience conducting statistical analysis with advanced statistical software, scripting languages, and packages
- Work and/or educational experience with big data analysis tools and techniques
- Foundational knowledge of building and deploying predictive models, web scraping, and scalable data pipelines
- Understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
- Experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
- Experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
- Financial Services background
About Candidate:
A curious mind with a thirst for discovery, answers, optimization, and continuous improvement
- Excellent written and verbal communication skills with a proven ability to interact effectively across all organizational levels
- Creative thinker and problem solver, with a strong ability to manage ambiguity/complexity
- Work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
- Experience working in a consumer-centric company and with teams of technical professionals in a cross-functional environment
- Experience in banking or financial services is a plus
The salary range for this position is $48 to $58 and hour w2 (dependent on experience). Benefits available to contract/temporary professionals, include medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
Job Roles at Huntington National Bank Companies
How to Get Visa Sponsorship in Huntington National Bank Visa Sponsorship USA
Target technology and operations roles first
Huntington's sponsorship activity skews toward technical and operational functions within banking, including software engineering, data analytics, and risk management. Focus your applications on these departments where sponsorship is more established and consistently approved.
Align your background with financial services requirements
Banking employers like Huntington expect candidates to demonstrate domain knowledge alongside technical skills. Highlighting relevant finance, compliance, or risk coursework alongside your degree strengthens your case during the specialty occupation assessment.
Time your application around the H-1B cap cycle
For cap-subject H-1B roles, Huntington would need to file in March for an October 1 start. Aim to have an offer secured by late winter so HR can initiate the Labor Condition Application and prepare the petition in time.
Find verified sponsorship opportunities on Migrate Mate
Not every Huntington job listing will mention visa sponsorship explicitly. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and confirm Huntington is actively hiring for sponsored roles before you apply.
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Get Access To All JobsFrequently Asked Questions
Does Huntington National Bank sponsor H-1B visas?
Yes, Huntington National Bank sponsors H-1B visas. The bank has a documented history of filing H-1B petitions for skilled workers in roles across technology, data, finance, and operations. While not among the very largest bank sponsors, Huntington is an active and consistent H-1B sponsor with a real track record of approvals, making it a worthwhile target for qualified international candidates.
What visa types does Huntington National Bank sponsor?
Huntington National Bank sponsors H-1B and TN visas for nonimmigrant work authorization, as well as F-1 OPT for recent graduates transitioning into full-time roles. On the permanent residence side, Huntington sponsors both EB-2 and EB-3 Green Cards, suggesting it supports long-term immigration pathways for employees who begin on temporary work visas.
Which departments or roles at Huntington National Bank are most likely to receive visa sponsorship?
Sponsorship at Huntington tends to concentrate in roles that meet the specialty occupation standard, typically requiring at least a bachelor's degree in a specific field. Technology roles such as software engineers and data analysts, along with finance and risk management positions, are the most common candidates. General business or retail banking roles are less likely to qualify for H-1B sponsorship.
How do I know if a Huntington National Bank job listing includes visa sponsorship?
Job postings often omit explicit sponsorship language, which makes verification difficult. Migrate Mate aggregates verified sponsorship data from federal filings, so you can confirm whether Huntington is sponsoring for a specific role type before investing time in the application process. This is more reliable than reading individual job descriptions, which are frequently vague about immigration support.
How do I strengthen my application for a sponsored role at Huntington National Bank?
Start by targeting roles that clearly align with your degree field, since the H-1B specialty occupation requirement is stricter in financial services than candidates often expect. Demonstrate knowledge of U.S. banking regulations, compliance frameworks, or financial systems relevant to your target role. Apply early in the hiring cycle so there's adequate lead time for Huntington's legal team to prepare the petition before any filing deadlines.
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