Data Analytics & AI Early Talent Pipeline

Job description

Position Type

Full time Type Of Hire : Experienced (relevant combo of work and education)

Job Description

This posting is part of the FIS University Program and is intended to build our early talent pipeline for future full-time opportunities. Candidates may be matched to positions as openings become available. Every day, our teams help shape the future of finance. We collaborate, innovate, and solve complex challenges together. We foster an environment where every voice is valued, fresh ideas are encouraged, and people can do their best work.

And we celebrate our success as one team. If you want to make an impact in fintech, we'd like to know: Are you FIS? Join the 2027 FIS University Program! As a full-time employee in the FIS University Program, you will have the opportunity to participate in team projects, community service activities, professional development seminars and work with a team that is invested in your growth, development, and success. This two-year full-time program begins 2027 with a series of AI-Enabled Learning Sprints designed to help you accelerate your impact from day one.

Through this immersive experience, you will: Learn how to leverage AI alongside human judgment to solve real business challenges and create value in your role. Explore the financial technology industry, gain insight into FIS's business, and understand how innovation is shaping the future of fintech. Engage directly with senior leaders and industry experts to learn about their career journeys, leadership philosophies, and perspectives on the future of work.

Build practical AI-enabled tools, including a personal prompt library and role-specific use cases that you can immediately apply in your daily work.

About the team

Join a team that transforms data into insights and creates intelligent solutions that drive business outcomes. Analytics & AI teams together professionals across Artificial Intelligence, Machine Learning, Business Intelligence, Data Analysis, and Data Science to solve complex business problems, improve decision-making, and identify opportunities for innovation. Team members work closely with product, technology, operations, and business stakeholders to analyze data, automate processes, develop predictive capabilities, and uncover insights that help shape the future of financial technology.

What you will be doing

Collect, organize, and analyze data to identify trends, patterns, and opportunities that support business decision-making. Develop and maintain dashboards, reports, and visualizations that communicate insights to business stakeholders. Assist with data validation, cleansing, and quality assurance activities to ensure reliable and accurate analysis. Support analytics, machine learning, or AI initiatives by preparing data, testing models, and documenting results and methodologies.

Partner with cross-functional teams to translate business questions into data-driven insights and recommendations.

What You Bring

Bachelor’s degree in relevant field of study including but not limited to Data Science, Computer Science, Business Analytics, Artificial Intelligence, Mathematics Basic proficiency with AI-enabled tools and the ability to apply them effectively to enhance productivity, problem-solving, and decision-making. Fluent in English; Strong written and verbal communication skills Adaptability, a drive to learn, and strong problem-solving skills Ability to work well independently and within a team

What We Offer

You: Competitive salary and excellent benefits The chance to work on some of the most challenging, relevant issues in financial services & technology A broad range of professional education and personal development possibilities – FIS is your final career step! Time to support charities and give back to your community A work environment built on collaboration, flexibility, and respect *Current and future sponsorship are not available for this position* #FISU2027 Privacy Statement FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients.

For specific information on how FIS protects personal information online, please see the Online Privacy Notice . EEOC Statement FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here For positions located in the US, the following conditions apply.

If you are made a conditional offer of employment, you will be required to undergo a drug test.

ADA Disclaimer

In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. Sourcing Model Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies.

FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company. #pridepass