Huntington National Bank H-1B Visa Sponsorship Jobs USA
Huntington National Bank sponsors H-1B visas for specialized roles across technology, finance, risk, and data analytics. While not among the most prolific H-1B sponsors in banking, Huntington does maintain an active sponsorship program, making it a viable target for international candidates with the right technical or financial expertise.
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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
How to Get Visa Sponsorship in Huntington National Bank H-1B Visa Sponsorship Jobs USA
Target technology and data roles first
Huntington's strongest H-1B sponsorship history sits in software engineering, data analytics, and IT infrastructure. Candidates with specialized technical skills aligned to banking platforms have the best chance of securing a sponsored role at Huntington.
Highlight regulatory and compliance expertise
Banking employers like Huntington value candidates with knowledge of financial regulation, risk frameworks, or compliance systems. Demonstrating this domain depth signals you're not just technically qualified but specifically valuable in a heavily regulated industry.
Use Migrate Mate to confirm sponsorship before applying
Not every Huntington job posting explicitly states H-1B sponsorship availability. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history, helping you focus your applications on roles where sponsorship is genuinely offered.
Engage Huntington's campus and internship pipelines
Huntington actively recruits through university programs and F-1 OPT pathways. Converting an internship or OPT role into a full-time H-1B sponsorship is a well-established path at large regional banks, giving you a significant advantage over external applicants.
Prepare your credentials for the specialty occupation standard
H-1B approval requires your role to qualify as a specialty occupation requiring a bachelor's degree in a specific field. For banking roles at Huntington, ensure your degree directly aligns with the job description, whether that's finance, computer science, or a related discipline.
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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 for qualifying roles, particularly in technology, data, and financial services functions. Sponsorship is not offered across every position, so candidates should confirm visa support directly with the recruiter during the application process and prioritize roles in departments with a known sponsorship track record.
Which roles and departments at Huntington National Bank are most likely to receive H-1B sponsorship?
H-1B sponsorship at Huntington tends to concentrate in software engineering, data analytics, cybersecurity, risk management, and quantitative finance. These roles meet the specialty occupation threshold most cleanly, as they require a specific degree field. Corporate banking, treasury, and financial modeling positions have also supported H-1B petitions at large regional banks like Huntington.
How does the H-1B application process work at Huntington National Bank?
Once Huntington extends a qualifying offer, their legal or HR team files a Labor Condition Application with the Department of Labor, followed by an H-1B petition with USCIS. If you're subject to the annual cap, your petition enters the lottery in March for an October 1 start date. Huntington typically manages this process through an outside immigration counsel, so your main role is providing documentation.
How long does it take to get H-1B sponsorship through Huntington National Bank?
For cap-subject petitions, the timeline runs roughly six to nine months from offer to work authorization, accounting for the March lottery, USCIS processing, and an October 1 start. If you're already in valid H-1B status from another employer, Huntington can file a transfer petition year-round, which typically processes in two to four months without premium processing.
How do I improve my chances of getting H-1B sponsorship at Huntington National Bank?
Focus your search on technology, data, and risk roles where Huntington's sponsorship is most consistent, and use Migrate Mate to identify open positions at verified H-1B sponsors so you're not wasting applications on roles that won't support a petition. During interviews, frame your skills around Huntington's regulated banking environment, and raise the sponsorship conversation early so both sides are aligned on timeline and process.
What is the prevailing wage for H-1B jobs at Huntington National Bank?
H-1B employers must pay at least the prevailing wage, which is determined when they file the Labor Condition Application with the Department of Labor. The rate is based on the role, location, and experience level, and ensures international hires are paid comparably to U.S. workers in the same position. You can look up prevailing wage rates for any occupation and location using the DOL's OFLC Wage Search tool.
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