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H1B Data Science Internship Jobs (NOW HIRING)

Data Science Engineer

Austin, TX ยท Hybrid

$65 - $69.72/hr

Data Science Engineer Job Details * Data Science Engineer (Contract) * Location: Austin TX, 78758 ... This role is not suitable for entry-level candidates or interns. Compensation: * $65.00 to $69.72 ...

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

... for data science interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate ...

Our data science teams also embrace staying current with the evolving data science landscape ... Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ...

Our data science teams also embrace staying current with the evolving data science landscape ... Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ...

Our data science teams also embrace staying current with the evolving data science landscape ... Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ...

Our data science teams also embrace staying current with the evolving data science landscape ... Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ...

Our data science teams also embrace staying current with the evolving data science landscape ... Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ...

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H1B Data Science Internship information

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How much do h1b data science internship jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for h1b data science internship in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is an H1B Data Science Internship?

An H1B Data Science Internship is an internship position in the field of data science offered by a U.S. employer that is willing to sponsor an H1B visa for international candidates. These internships allow students or recent graduates from outside the U.S. to gain hands-on experience in data analysis, machine learning, and related areas while working legally under the H1B visa program. Typically, these roles require a strong background in statistics, programming, and data manipulation, and may serve as a pathway to full-time employment. H1B sponsorship for internships is less common than for full-time roles, so candidates should verify an employer's willingness and ability to sponsor before applying.

What are some unique challenges H1B Data Science Interns may face during their internship, and how can they overcome them?

H1B Data Science Interns often encounter unique challenges such as adapting to new workplace cultures, navigating visa-related documentation, and balancing technical responsibilities with compliance requirements. To succeed, it's helpful to proactively communicate with HR and supervisors about any visa or onboarding questions, seek mentorship from colleagues, and participate in team meetings to better understand project expectations. Embracing collaborative tools and asking for feedback can also accelerate integration into the team, allowing interns to focus on learning and contributing effectively in a supportive environment.

What are the key skills and qualifications needed to thrive as an H1B Data Science Intern, and why are they important?

To thrive as an H1B Data Science Intern, you typically need a strong background in statistics, programming (Python or R), and data analysis, often supported by a relevant STEM degree. Familiarity with tools like SQL, machine learning libraries, and data visualization platforms such as Tableau is highly valued, and certifications in data science or analytics can enhance your profile. Strong problem-solving skills, effective communication, and adaptability help you collaborate on diverse projects and present findings clearly. These skills are essential for driving actionable insights and adding value to data-driven decision-making in a fast-paced business environment.

What is the difference between H1B Data Science Internship vs Data Analyst Intern?

AspectH1B Data Science InternshipData Analyst Intern
Required CredentialsTypically pursuing or recent graduate in Data Science, Computer Science, or related fieldsOften pursuing or recent graduate in Statistics, Data Analysis, or related fields
Work EnvironmentTech companies, consulting firms, or research organizations; project-based tasksBusiness environments, finance, marketing; data collection and reporting
Employer & Industry UsageUsed by companies sponsoring H1B visas for specialized data science rolesCommonly used in industries requiring data analysis for decision-making

The H1B Data Science Internship and Data Analyst Intern roles share similarities in required education and work environment but differ mainly in specialization and industry focus. The internship is geared towards aspiring data scientists with a focus on advanced analytics, while the data analyst internship emphasizes business reporting and basic data handling.

More about H1B Data Science Internship jobs
What cities are hiring for H1B Data Science Internship jobs? Cities with the most H1B Data Science Internship job openings:
What states have the most H1B Data Science Internship jobs? States with the most job openings for H1B Data Science Internship jobs include:
Infographic showing various H1B Data Science Internship job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Corporate Vice President - Data Science Lead

Corporate Vice President - Data Science Lead

New York Life Insurance Co

Manhattan, NY โ€ข On-site

$147K - $211K/yr

Full-time

Life

Re-posted 24 days ago


Job description

Location Designation: Hybrid - 3 days per week
Role Overview
As part of the Artificial Intelligence & Data (AI&D) organization, you will contribute to New York Life's AI-led transformation by developing and supporting the deployment of AI and Machine Learning solutions that enhance efficiency, enable a seamless customer experience, and improve client, agent, and employee experiences, delivering unparalleled value as the firm continues to become tech, data, and AI enabled.
This role will support the development of AI solutions spanning traditional Machine Learning, Generative AI, and Agentic AI, while also providing technical leadership through mentoring junior data scientists and interns, supporting their growth and development. You will work in close partnership with business product owners to champion new ideas that advance AI adoption, while helping measure, articulate, and communicate business value.
You will collaborate closely with business stakeholders, data scientists, engineers, and product and technology partners, contribute to hiring decisions for full-time employees, interns, and contractors, and continue to build expertise in enterprise AI practices, model lifecycle management, responsible AI principles, and New York Life's technology ecosystem.
What You'll Do:
โ€ข Lead the execution of AI/ML and GenAI initiatives in partnership with data, technology, product, and business teams to deliver scalable solutions
โ€ข Partner with tech and business lead to redesign and operationalize business workflows that embed the AI, GenAI and Agentic solutions.
โ€ข Own business-aligned OKRs for AI initiatives, ensuring efforts are outcome-driven, tied to enterprise value creation and supported through PI planning and roadmap development.
โ€ข Deliver all aspects of full Model Development Life Cycle (MDLC) from data exploration and feature engineering to model training, validation, deployment, and performance monitoring.
โ€ข Develop and help operate models using cloud platforms (e.g., AWS, GCP) and modern data platforms (Snowflake, Databricks), ensuring quality, security, and scalability, partner with ML engineers for large-scale production deployment and scaling.
โ€ข Implement and refine LLM/RAG approaches (vector stores, embeddings, retrieval optimization, prompt orchestration) with evaluators for reliability.
โ€ข Adhere to model governance, documentation, testing, and CI/CD best practices in partnership with MLOps.
โ€ข Mentor and hire junior data scientists, interns and vendor resources to deliver key business initiatives.
โ€ข Assist in designing and evaluating agentic/AI-powered solutions that automate routine business tasks with human-in-the-loop checkpoints, escalation thresholds, and safety guardrails.
โ€ข Work with AI Engineers to ensure AI capabilities are accessible through APIs, dashboards, and integrated workflow applications used by business teams.
โ€ข Build lightweight UI prototypes (e.g., Streamlit) to validate usability and support adoption.
โ€ข Stay informed on industry trends by engaging in relevant conferences and sharing key insights with internal and external audiences as appropriate.
โ€ข This role involves limited travel (<10%) to events and vendor meetings.
What You'll Bring:
โ€ข Advanced degree in Computer Science, Data Science, Machine Learning, AI, Engineering, Mathematics, Statistics, or a related quantitative field.
โ€ข 8+ years of experience applying data science and AI/ML to real-world business problems.
โ€ข 2+ years of experience working with business stakeholders for delivering on the key roadmap initiatives.
โ€ข Ability to communicate complex ideas simply, presenting impact, trade-offs, and recommendations to non-technical partners.
โ€ข Proficiency in Python and SQL; working knowledge of core software engineering concepts (version control with Git/GitHub, testing, logging).
โ€ข Solid experience with cloud platforms like AWS/GCP services (e.g., SageMaker, Bedrock, Vertex AI) and modern data ecosystems (Snowflake/Databricks).
โ€ข Working knowledge of LLMs, RAG architecture, and agentic frameworks, including safe automation design and evaluation practices.
โ€ข Solid grounding in ML methods (supervised and unsupervised learning, gradient boosting, exposure to deep learning), feature engineering, regularization, cross-validation.
โ€ข Ability to translate analytical findings into clear business insights and collaborate effectively with cross-functional partners. Translate them into an overall AI roadmap.
โ€ข Experience collaborating across product, data, and engineering teams to deliver scalable, production-ready AI solutions.
โ€ข Experience in Life Insurance industry or consumer finance domains is a plus.
Pay Transparency
Salary Range: $147,500-$211,000
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities-inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you'll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what's next, and your growth powers it.
Our Benefits
We provide a full package of benefits for employees - and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.Click hereto discover more about our comprehensive benefit options or visit our NYL Benefits Site.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life's leadership in this space.
Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.
Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities.
Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees' needs.
Job Requisition ID: 94081
About NY Life Insurance Company
Diversity & Humanity-two values that are deeply rooted in the New York Life culture and have laid the foundation for over 175 years of commitment to our employees, agents, policy owners, and the communities where we live and work. At New York Life you become a valued part of a welcoming, inclusive, and caring culture that has a long-standing legacy in stability and growth. The strength of New York Life revolves around our diversified, multi-dimensional business portfolio that goes beyond life insurance, and we want you to be a part of our legacy.
As a Fortune 100 company and industry leader, we provide an environment where you can explore your career ambitions, offering opportunities to tackle meaningful challenges and stretch your skills while balancing work and life priorities. You will be part of a diverse team guided by our belief to always be there for each other-providing the support and flexibility to grow and reach new heights while making an impact in the lives of others.
You are our future, and we commit to investing in you accordingly.
Visit our Linkedin to see how our employees and agents are leading the industry and impacting communities.
Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees' needs.
Required Legal Notices - All Candidates Please Click Here