Data Scientist I, FIS University Program

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! Eligibilit