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Job Description

Every day, our teams innovate across the world of finance. We collaborate to work smarter, while making a difference. We believe in diversity and inclusivity, giving a voice to everyone on the team. And we celebrate our success together. If you want to make an impact in fintech, we'd like to know: Are you FIS?

Join the 2026 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; including bi-annual performance connects with your manager.

This two-year full-time program has start dates in January, March, June, and September with a dedicated "Learning Week" where you will:

• Learn how to work within a corporate environment

• Learn about the exciting world of Fintech and the role FIS plays

• Hear from FIS leadership about their journey and participate in senior leader networking opportunities

• Build a network of your peers from across the organization

This position is for a September 2026 start.

About the Role

Supports the development and validation of data-driven models by analyzing large datasets, identifying insights, and ensuring data quality and accuracy. Works closely with Data Science, Product, and client-facing teams to apply analytics to real-world business problems, contribute to product enhancements, and communicate findings in a clear, actionable way. Learns and applies best practices in modeling, data governance, and regulatory-compliant analytics.

About The Team

Our Data Science team is a collaborative group of analytical problem-solvers who work across products, business stakeholders, and technical teams. As a new team member, you will partner with experienced data scientists, engineers, and business leaders to deliver data-driven insights and solutions. You will gain exposure to real-world datasets and contribute to analytics and modeling efforts that support business decisions and product development.

What You Will Be Doing

• Analyze and explore datasets to identify trends, patterns, and insights that support business and product needs.

• Assist in building, testing, and improving predictive models and analytical solutions.

• Work with senior team members to translate business questions into data-driven approaches.

• Create visualizations and summaries to communicate findings in a clear and understandable way.

• Collaborate with cross-functional teams (product, engineering, and analytics) on projects.

• Support data preparation, quality checks, and validation processes to ensure reliable results.

• Learn and apply statistical, machine learning, and data analysis techniques to real business problems.

What You Bring

• Bachelor's in a relevant field (e.g., Data Science, Statistics, Mathematics, Computer Science, Economics, or related).

• Basic knowledge of data analysis, statistics, or machine learning concepts.

• Familiarity with at least one programming language (e.g., Python or R) and SQL.

• Strong analytical and problem-solving skills with attention to detail.

• Ability to communicate technical concepts clearly to both technical and non-technical audiences (with guidance).

• Willingness to learn new tools, technologies, and business concepts.

• Ability to work collaboratively in a team environment.

Bonus If You Have

• Internship or academic project experience involving data analysis or modeling.

• Exposure to tools such as Tableau, Power BI, or cloud platforms (AWS, Snowflake).

• Familiarity with SAS or working with large datasets.

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

• Student Loan Repayment Program: FIS will PAY OFF participants' undergraduate loan balance over 10 years of service! Eligibility starts after one year of tenure in the program. The benefit applied to undergraduate student loans for US-based degrees and must be in the employee's name.

*Current and future sponsorship are not available for this position*

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.

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