Data Scientist (Python, Machine Learning)

Are you curious, motivated, and forward-thinkingAt FIS you ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun.

About the team

The Capital Markets AI/ML CoE team is a horizontal CoE for Capital Markets that is helping us drive revenue and bring significant savings to our businesses by identifying, exploring, and implementing AI/ML solutions.

The Capital Markets is one of the two verticals in FIS. It has various products and solutions in funds management, cleared derivatives, commercial lending, corporate treasury, insurance risk electronic trading, RegTech, wealth and retirement etc.

The team consists of highly motivated solution architects, data scientists and ML engineers.

What you will be doing

As a Data Scientist, you will be assisting with designing and developing cutting-edge AI/ML solutions across the organization.

What you bring:

Knowledge / Experience

• Basic working experience in data analysis and ML modeling.
• Understanding of machine learning and deep learning concepts.
• Ability to assist in formulating business problems as machine learning problems.
• Basic knowledge of model evaluation and interpretability.
• Familiarity with computer vision, natural language processing, and anomaly detection.
• Awareness of GenAI and its applications in the industry.
• Good communication skills:
  • Ability to communicate ideas clearly and concisely, both verbally and in writing.
  • Ability to collaborate effectively with business and tech teams.
• Problem-solving skills with a focus on optimal solutions.
• Knowledge of the financial services marketplace is a plus.

Skills

• Proficiency in Python.
  • Good-to-have: Experience in additional programming languages (e.g., Java or C#).
• Familiarity with frameworks and libraries like scikit-learn, TensorFlow, PyTorch, Keras, pandas, etc.
• Basic knowledge of REST services using Flask or FastAPI.
• Understanding of SQLAlchemy and Pydantic data modeling.
• Experience with one of the cloud platforms (e.g., AWS, GCP, Azure) and AI Studios is a plus.
• Basic understanding of solving practical problems using GenAI.
• Familiarity with leveraging LLMs for practical solutions.
• Team skills, including the ability to establish and maintain effective working relationships both internally and externally.
• Experience working with at least one relational database.
• Basic experience in application development and using IDEs.
• Innovative thinking.

Qualifications

Bachelor s degree in engineering or related field or the equivalent combination of education, training, or work experience.

Degree / Certification in Data science, Statistics, or related fields.

Competencies

• Fluent in English
• Excellent communicator - ability to discuss technical and commercial solutions to internal and external parties and adapt depending on the technical or business focus of the discussion.
• Attention to detail - track record of authoring high quality documentation.
• Organized approach - manage and adapt priorities according to client and internal requirements.
• Self-starter but team mindset - work autonomously and as part of a global team

What we offer you

• A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities
• A broad range of professional education and personal development possibilities - FIS is your final career step!
• A competitive salary and benefits
• A variety of career development tools, resources, and opportunities

With a 50-year history rooted in the financial services industry, FIS is the worlds largest global provider dedicated to financial technology solutions. We champion clients from banking to capital markets, retail to corporate and everything touched by financial services. Headquartered in Jacksonville, Florida, our 53,000 worldwide employees help serve more than 20,000 clients in over 130 countries. Our technology powers billions of transactions annually that move over $9 trillion around the globe. FIS is a Fortune 500 company and is a member of Standard Poor s 500 Index.

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 FIS Online Privacy Notice.

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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