Job Description

Position Type :

Full time

Type Of Hire :

Experienced (relevant combo of work and education)

Education Desired :

Bachelor of Computer Engineering
At FIS, our technology and our people are moving forward. We advance the way the world pays, banks and invests. We believe in building inclusive, diverse teams. Together, we innovate to help our colleagues, clients and communities succeed. If you're ready to grow your career and make an impact in fintech, we have one question: Are you FIS?

About the role:

This is an ideal opportunity for someone early in their data science career who is passionate about solving real-world business challenges and eager to learn and grow in an environment that values initiative and innovation.


We're seeking a proactive self-starter who thrives amidst multiple cross-functional stakeholders and varying priorities. If you're excited by the challenge of digging deep to uncover the "why," building impactful solutions, and driving success across the global fintech landscape, FIS invites you to make your mark here.

What you will be doing:

Applying expertise in machine learning and data mining to implement analytics solutions that enhance Sales performance Developing and deploy Agentic AI use cases (e.g., account intelligence agents, personalized outreach agents, lead nurture agents) Building predictive models to identify trends, optimize lead prioritization, and measure performance of Sales initiatives Conducting advanced statistical analysis and present findings as clear, actionable recommendations to Sales leaders Creating and maintaining interactive data visualizations (Power BI or equivalent) to communicate insights effectively. Contributing to best practices in MLOps and cloud-based deployment (Azure preferred) Preparing and presenting AI program outcomes and insights to business leadership and executive audiences

What you will need:

Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field (required) > 4 years of experience in data science or analytics (internships, projects, or prior roles) Experience in financial services, banking, or FinTech is a plus Strong understanding of machine learning algorithms and practical applications Hands-on experience with Agentic AI or Generative AI model development Proficiency in Python or R, and SQL for data manipulation and analysis Experience with cloud platforms (Azure preferred) Familiarity with MLOps pipelines for model automation and deployment Strong skills in data visualization (Power BI preferred) and Microsoft Office tools (Excel, PowerPoint and Outlook) Excellent problem-solving and critical thinking skills Strong written and verbal communication, with ability to simplify complex results for business stakeholders Demonstrated ability to work in agile or fast-paced environments Passion for innovation with a proactive, can-do attitude Team player with the ability to influence and collaborate effectively

What we offer you:

At FIS, we are as committed to growing our employees' careers as our own business. We offer:

Opportunities to innovate in fintech Inclusive and diverse team atmosphere Professional and personal development Resources to contribute to your community Competitive salary and benefits

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.

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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