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Generative Ai Insurance Jobs in Florida (NOW HIRING)

Curiosity or foundational knowledge in AI / Generative AI * Familiarity with GitHub and VS Code ... insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term ...

... insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term ... Generative AI Familiarity with GitHub and VS Code Strong problem-solving, communication, and ...

Java Fulstack Developer

Tampa, FL · On-site

$48.25 - $62.25/hr

... Generative AI|Generative AI for Data Analytics Technical Skills 4 Technology|Oracle|PL/SQL ... Insurance (Accident, Critical Illness , Hospital Indemnity, Legal) * 401(k) plan and contributions ...

... generative AI tools for reporting or data synthesis is a plus Required Licenses or Certifications * Current driver's license and automobile insurance Skills / Specialized Knowledge Technical ...

New

Frontend Developer

Tampa, FL · On-site

$98K - $114K/yr

... AI|Generative AI for Data Analytics Overview The Infosys Engineering unit is dedicated to ... Insurance (Accident, Critical Illness , Hospital Indemnity, Legal) * 401(k) plan and contributions ...

We aren't looking for a coder; we are looking for a creative who uses Generative AI, advanced ... This role is also eligible for various benefits, including medical/dental/vision, insurance, a ...

Showing results 41-60

Generative Ai Insurance information

How does a role in Generative AI Insurance typically collaborate with underwriters and data scientists?

Professionals in Generative AI Insurance often work closely with underwriters to analyze risk profiles and automate policy generation using advanced AI models. Collaboration with data scientists is also essential, as they help develop, test, and refine algorithms that can accurately assess claims, detect fraud, and personalize insurance offerings. This cross-functional teamwork ensures that AI solutions are both technically robust and aligned with industry regulations and business goals, providing opportunities to learn from various experts and contribute to innovative insurance products.

What is the difference between Generative Ai Insurance vs Data Scientist?

AspectGenerative Ai InsuranceData Scientist
Required CredentialsTypically requires knowledge of AI, machine learning, insurance policies, and data analysisRequires degrees in computer science, statistics, or related fields; often certifications in data analysis or machine learning
Work EnvironmentInsurance companies, AI firms, or tech departments within insurersTech companies, financial institutions, or insurance firms
Industry UsageDevelops AI models to automate insurance underwriting, claims, and risk assessmentAnalyzes data to extract insights, build predictive models, and inform business decisions

Generative Ai Insurance professionals focus on creating AI systems that generate content or automate insurance processes, while Data Scientists analyze data to inform strategies. Both roles require technical skills but differ in application and industry focus.

What is a Generative AI Insurance professional?

A Generative AI Insurance professional specializes in developing, managing, or implementing generative artificial intelligence solutions within the insurance industry. This role involves using advanced AI models to automate processes such as underwriting, claims processing, risk assessment, and customer service. These professionals work to optimize operations and improve decision-making by leveraging machine learning and data analysis. They also help ensure that AI-driven tools comply with regulatory standards and ethical guidelines.

What are the key skills and qualifications needed to thrive as a Generative AI Insurance specialist, and why are they important?

To thrive as a Generative AI Insurance Specialist, you need expertise in data analysis, machine learning, and a solid understanding of insurance products and risk assessment, usually backed by a degree in data science, actuarial science, or a related field. Familiarity with AI development frameworks (such as TensorFlow or PyTorch), insurance-specific analytics platforms, and relevant certifications like CPCU or data science credentials are typically required. Strong problem-solving, communication, and adaptability skills help bridge technical solutions with business needs and client expectations. These competencies ensure innovative, accurate risk modeling and effective implementation of AI solutions within the insurance sector.
What are popular job titles related to Generative Ai Insurance jobs in Florida? For Generative Ai Insurance jobs in Florida, the most frequently searched job titles are:
What cities in Florida are hiring for Generative Ai Insurance jobs? Cities in Florida with the most Generative Ai Insurance job openings:
Infographic showing various Generative Ai Insurance job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Corporate Vice President, Data Scientist - Advanced Analytics

New York Life Insurance Co

Tampa, FL • On-site

$130K - $170K/yr

Full-time

Re-posted 11 days ago


Job description

Location Designation: Hybrid - 3 days per week
Role Overview:
As a Corporate Vice President, Data Scientist on the Advanced Analytics team you will serve as a strategic thought partner to business leaders across New York Life Direct, driving high-impact initiatives through advanced analytics, machine learning, and data-driven decision making. You will operate as a subject matter expert, shaping the direction of data science applications across marketing, underwriting, actuarial, operations, and fraud prevention. In this role, you will lead the design and development of innovative, scalable solutions, proactively identify opportunities to influence business strategy, and help define the future of data science within the organization. You will work across functions to translate complex business challenges into analytical frameworks, guide solution development, and ensure insights are effectively embedded into decision processes to deliver measurable business value.
What You'll Do:
You will partner closely with senior business stakeholders to identify, prioritize, and shape data science initiatives that align with strategic objectives, proactively uncovering opportunities where advanced analytics can drive meaningful business impact. You will lead complex, high-visibility data science projects end to end, from framing ambiguous problems and defining analytical approaches to developing, deploying, and monitoring scalable machine learning models and data products. Leveraging deep expertise in statistical methods, machine learning, and experimentation, you will solve unique and complex problems, often requiring innovative and conceptual thinking beyond existing approaches. You will influence decision-making by communicating insights and recommendations clearly to both technical and non-technical audiences, including senior leadership. In addition, you will collaborate with engineering and technology teams to operationalize solutions, establish best practices, and enhance model lifecycle management. As a senior member of the team, you will mentor other data scientists, elevate technical standards, and contribute to the development of the team's capabilities, while staying at the forefront of emerging trends and identifying ways to apply new techniques to advance business outcomes.
What You'll Bring:
You bring advanced academic training in a quantitative field such as Data Science, Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related discipline, along with significant experience applying data science in complex business environments. You have deep technical expertise in programming languages such as Python or R, strong proficiency in SQL, and a robust foundation in statistical modeling, machine learning, and experimental design. You are recognized for your ability to independently lead large-scale, ambiguous initiatives and to translate complex data into actionable insights that influence strategic decisions. Your experience includes working with large, real-world datasets and deploying models in production environments, ideally within insurance, financial services, or direct-to-consumer contexts. You are an effective communicator who can influence stakeholders at all levels, and you bring a track record of mentoring others, shaping best practices, and driving continuous improvement. Familiarity with cloud-based platforms (e.g., AWS, SageMaker) and model lifecycle management, along with an interest in emerging areas such as generative AI, will further enable you to succeed in this role.
Required Skills:
• Master's or PhD in quantitative fields such as Data Science, Statistics, Applied Math, Economics, Computer Science, Engineering, or related disciplines
• 5+ years of experience applying data science in a business setting with a Master's (3+ years for PhD graduates)
• Strong programming skills in Python and/or R, plus experience with SQL
• Strong foundation in statistical analysis, machine learning and experimental design
• Experience working with real-world datasets and translating ambiguous business questions into analytical solutions
• Strong communication skills, including the ability to explain technical concepts clearly and influence decisions across a range of audiences
• Ability to work independently, manage multiple priorities, and drive work forward in a collaborative environment
Preferred Skills:
• Experience in insurance, financial services, or direct-to-consumer environments
• Familiarity with cloud-based tools and platforms (e.g., AWS, Sagemaker)
• Understanding of model lifecycle management
• Experience evaluating or applying generative AI in business settings
Pay Transparency
Salary Range: $130,000-$170,000
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: 93896
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