Intern , Data Scientist Engineer, FIS University Program 2025

As the world works and lives faster, FIS is leading the way.  Our fintech solutions touch nearly every market, company and person on the planet. Our teams are inclusive and diverse. Our colleagues work together and celebrate together. If you want to advance the world of fintech, we’d like to ask you: Are you FIS?

About the role:  

As an Intern, you will build valuable work experience while advancing the way the world pays, banks and invests. While working with colleagues from around the world, you’ll handle real projects and learn how our organization works from the inside. Through our University Program, we develop and retain entry-level talent. 

About the project: Applying MLOps practices and frameworks to streamline the development lifecycle of ML applications -- Taking a use case scenario of LLMOps including distributed model training (e.g. LLM fine tuning), hyperparameter tuning, LLM model size optimization, model serving, and monitoring.

What you will be doing: 

• Working on real projects with a global organization. 

• Learning how to apply your skills to face the challenges of the financial industry. 

• Networking with other graduates as well as top professionals in your field. 

Project Details:

• Working on Python 3.10+

• Model training techniques and frameworks including Scikit-learn, PyTorch, and TensorFlow 2.x

• Good understanding of neural network architectures including Transformers

• Docker containerization, and Kubernetes orchestration

• FastAPI application development

• Optional -- Angular 2 app development to trigger model training and to control model deployment lifecycle

• Exposure to UI based model serving like: BentoML, Streamlit

• Good communication and interpersonal skills. 

What you will get:
At FIS, you can also learn, grow and make an impact in your career. Our benefits include:

• Flexible and creative work environment

• Diverse and collaborative atmosphere

• Professional and personal development resources

• Opportunities to volunteer and support charities

• 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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