Data Scientist I, FIS University Program

FIS Global • Atlanta, GA

7d

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level